MQTTRoute 3.1 – Custom  Secure MQTT Authentication Released

MQTTRoute 3.1 – Custom Secure MQTT Authentication Released

We are more excited to announce the fresh new update of MQTT Broker, MQTTRoute 3.1. The new version of MQTT Broker adds additional & custom security options / security extensions for secured communication & data transfer. Security is an essential concern for any IoT solutions/applications. No matter what, enterprises have a keen insight into the security of the implementation as they need to prevent themselves from getting attacked by hackers/intruders. Hence, we thought of providing such full-fledged security options. We are adding custom authentication functionality to our MQTT Broker with the support of integrating IAM tools to authorize and have instant control / power over on their clients. Here is a detailed look at the security extensions of MQTT Broker.

Need for Centralized Authentication

In day to day life, whatever people use or designate is getting connected to the internet. For a full-fledged enterprise security, each & every port of entry must be supervised wholly for client connections, permissions & for secured data communications. This is to restrict the entry of hackers. Besides security, the cyclical/periodic maintenance tasks like asset monitoring, updating of firmware, provisioning or reprovisioning needs to be integrated. Hence it is necessary to bring all users into one common platform. This obligates the need for connecting the clients, sensors and everything to the central identity management of the organization. Centralized identity management means everything takes place in one environment. This is more or less like the user can sign into a single environment to access all the applications and tools. Hence, provisioning, de provisioning everything happens and managed in one place with centralized ID & access management. Also, SAML single sign-on permits users to create a one single password to ingress all of their applications & stuff. It removes the difficulty of creating & recollecting multiple passwords. Hence, we have added custom hooks into MQTT Broker to customize authentication for identity access management.

MQTT Broker Inbuilt Authentication

With the new update, MQTTRoute comes with an inbuilt custom plugin to customize/extend the authentication functionality as per the need. We know that how important identity management is nowadays in terms of security for enterprises & businesses. To bring that centralized management into one common platform we have enabled a custom authentication functionality into the MQTT Broker which helps users to integrate IAM. IAM (Identity Access Management) enables enterprises/organization to control user access to critical information within an organization. Bevywise MQTT Broker can be used to build large scale IoT applications & solutions for multiple customers & for enterprises. With the help of custom authentication hooks, IAM can be integrated into the MQTT Broker. Now, IAM will supersede the built-in authentication & authorization to enable a gentle functioning with an enterprise system & its management.

Bundled HTTP Authentication

HTTP furnishes an extensive structure for authorization & access control. HTTP authentication is about restricting unauthorized users with the HTTP schema. It is a challenge response mechanism where the server will challenge a client request & the client will respond with the authentication details (User ID & Password credentials) in an authorization header.

Here is how the challenge & response flow runs :

When the client makes a request & server expects authentication information, the server responds with a 401 (unauthorized) status code which provides the reason for authentication error along with the WWW-authenticate response header. The client will call for a user ID & password from the user to manage the response from the server. Once the client acquires a user ID & password, it will send back the initial request with an authorization header. On the other hand, the client can send the authorization header when it makes its original request, and this header might be accepted by the server, avoiding the challenge and response process.

MQTTRoute now supports HTTP authentication that it initiates the request query permission & processes the authentication request through the returned HTTP response status.

MQTT Broker & Security Options

Bevywise MQTTRoute by default provides an option to enable encrypted data transmission for better MQTT data security. Such options can be enabled with just a few configuration changes. With regards to security in Enterprise MQTT Broker, identity, authentication, authorization, and encryption should be taken into account to protect your data. Bevywise MQTT Broker provides Multiple MQTT Authentication, Encrypted data transfer with TLS/SSL  certificates, Authentication with X.509, Authorization with ACL & RBAC & more. It works with all standard SSL / TLS certificates and runs with a self-signed certificate.  Moreover, you can also disable authentication as well, if you are running / in-action with the MQTT broker in a close environment and do not want to weigh down the system. Though we provide full-fledged security with our default security options, we want our customers/users to power over their clients with custom authentication.

To conclude, the new update of MQTT Broker provides custom authentication functionality which enables you to integrate IAM tools for secured management & control of the clients.

Feel free to write to support for a complete Demo.

Download MQTTRoute 3.1 now to get started with your IoT implementation. The new version is currently available for Windows & Linux users. 

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MQTT Broker Comparison – MQTTRoute vs Mosquitto

MQTT Broker Comparison – MQTTRoute vs Mosquitto

MQTT is one of the most widely adopted protocols today in the IoT Arena. There are a lot of MQTT Brokers available for your solution implementation.  Choosing the right one that fits your criteria makes your project more than 50% complete. Developers should evaluate and lay out distinct quality aspects of all available Brokers to make a right choice. In an article earlier this year, we wrote about How to choose a perfect MQTT server for your implementation. Bevywise MQTTRoute is a commercial MQTT server built using C and python. Similarly,  Mosquitto is one of the fastest open source broker built on C. This article gives a high level overview of the MQTT Broker comparison between MQTTRoute and Mosquitto.

MQTT Compliance

Both Mosquitto and Bevywise are built as per MQTT protocol specification like publish message format, command messages, QoS(Quality of Service), retain, Wild card topics and error handling etc.

MQTT Security

Security of a broker is largely determined by the user configuration and only to a lesser extent by the broker’s security features. These include authentication and authorization mechanisms, as well as encryption support. In that case both MQTT Brokers support high level device authentication & TLS/SSL MQTT security. With the recent update, Bevywise MQTTRoute comes with the custom authentication functionality to execute centralized identity management / authentication.

High Availability

MQTT Broker must be highly available in order to never miss / loss any MQTT data. It should be up and running without any failure and hence you need MQTT clusters for it. In that case, Bevywise MQTTRoute supports clustering which can be used to set up 99.99% high availability MQTT cluster. As of now Mosquitto doesn’t handle high availability in it.

MQTT Data Persistence

IOT / IIoT is not about communication. It is about storing data for future analysis and decision-making. Mosquitto by default process all the message communication in memory. There is an option to store data of subscription into a file (mosquitto.db). But this file cannot be used outside the application. However, MQTTRoute comes with a default option to store data into MySQL, SQLite & PostgreSQL.  We recommend MySQL for deployments and the application you are building can also query the database in parallel. In addition MQTTRoute allows you to write data into ElasticSearch, MongoDB or any other storage using the plugin system built into the it.

MQTT Dashboard

One of the critical issue in the MQTT Implementation today is that the manager applications are built over data received by an MQTT client that subscribe to #. But, this is not the right as the meta information of the data is lost. So this mandates the need for the Broker to be integral part of the application. Keeping this in mind, we have built the UI into the MQTT Broker. We have built a comprehensive MQTT Dashboard as part of the MQTTRoute as well as the Platform. Also, MQTTRoute supports creating multiple dashboards with some pre-built widgets intended to provide better visualization of data. However, Mosquitto does not have any User interface as the data persistence itself is not available. There are some third party User interfaces which are built as a client.

Customization

Above all, The default web interface of the MQTTRoute can be customized as needed. The Product can be white labelled. Mosquitto as a open source MQTT broker can be customized to a larger extent. But the customization is more on the C layer for the Mosquitto and all the building blocks over it need to be recreated. Bevywise MQTTRoute on the other hand allows customization at the appliation layer. Some of the customization includes changing the User interface, advanced visualization, transforming data before storage. Moreover, Bevywise MQTTRoute is not just a Broker, it is a complete IoT application suite with the extendable custom hooks. The custom hooks include Custom UI server, Custom scheduler, Custom data store & Custom authentication.

Integration

Data Hooks, REST API and ML/AI Integration are the three major integration end points of the Bevywise MQTTRoute. MQTTRoute makes a huge leap ahead when you want to build an application over the Mosquitto. With the support of AI/ML integration you can add a ML algorithm into MQTTRoute to automate your machine learning process. Other than REST API’s, Bevywise MQTT server can be customizable to integrate with other MQTT based tools like Google pub/sub, Redis, tableau, modbus and more. Besides that, the cost and the effort spent on customization will be very minimal when compared to Mosquitto.

MQTT Broker Performance Comparison 

Performance of MQTT Broker depends on two main metrics one is the maximum sustainable throughput and the other is the average latency. The first metric is the maximum sustainable throughput at which the Broker is able to process all communicated messages. In terms of sustainability, Mosquitto is built on C and Bevywise MQTTRoute is built on a combination of C & Python for easy extendability and performance. Mosquitto is the fastest MQTT server available today when run as just a message broker. Bevywise MQTTRoute has a throughput at par with the Mosquitto.

The next one is the average latency from publisher to subscriber in a given scenario. Short latencies are important for many IoT applications, where live monitoring of data is desired. In terms of latency, both has a has lower latency/message delivery time across all QOSes. And also, MQTTRoute has the exposure of better latency (less round the trip time) than Mosquitto in QOS 0. To know more on MQTT Broker performance, have a look at the performance comparison study done by University of Szeged, Hungary.

Support & Consulting

MQTTRoute comes with a FREE Support where in we do consluting for your implementation while you will not be getting these supports on the Open Source Brokers. We also provide FREE community support for FREE users. Read more about our support policy.

MQTT Broker comparison Table

Features

MQTTRoute

Mosquitto

Protocol

MQTT, Web socket

MQTT, WebSocket

Visualization of Data

In built Dashboard with details of Devices level. Manage devices with send command, create Rules via UI. Multiple dashboard & widgets support.

Customizable.

thrid party plugin

Security

TLS/SSL,

device level Authentication,

Custom Authentication

TLS / SSL ,

device level authentication

Inbuilt Storage Options

MySQL / SQLite / PostgreSQL

Allows Third-party application to read.

Store data in-memory & File

Only for Internal purpose

Extendable data Storage

Extension based Storage using Custom_storage option. Prebuilt connectors available in Github.

third party plugins for Storage

OS

Windows, Windows server, Linux, Mac and Raspberry Pi

Linux, Mac, Windows and BSD

Rule Engine

YES. Custom Rules can be added from the User Interface.

No

Error Log

YES. Time Out errors , Authentication, Packet errors are deducted and shown on the UI.

Yes, Enabled at the conf file and show in the Terminal

Localization

Yes. Option to customize to any language

No

Clustering

Yes.

No. One used as a single cluster

SaaS based

Yes. IoT Platform supports SaaS based Scalable architecture

No.

Throttling

Developed and will be available soon

Yes

Complete MQTT Standard Support

Yes

Yes

Integration

REST API , Data Plugins, ML/AI

Only DATA Plugins

Docker Support

Yes

Yes

Whitelabel

Yes

Yes

Open source

No

Yes

Built on

C / Python language

C language

MQTT version

Current support MQTT 3.1.1 and MQTT 5 coming soon

Current support MQTT 3.1.1 and MQTT 5 coming soon

Support

24×7 live support via Telephone, Whattsapp, Email.

Forum support

 

The overall MQTT Broker comparison between MQTTRoute & Mosquitto will help you choose the best one for your IoT implementation.

You can try the Bevywise MQTTRoute by downloading it FREE now. The new version of MQTT server, MQTTRoute 3.1 is available to support integration of central identity access management (IAM).

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Feel free to write to support for any questions / suggestions.

Best MQTT Broker for IoT / IIoT Application Development

Best MQTT Broker for IoT / IIoT Application Development

The number of devices getting connected to the internet day over day is increasing astoundingly. Forbes estimate, by 2020, more than 34 billion devices will be online. MQTT is getting a huge adoption across industry and personal connectivity.  Hence, this mandates a need for a more powerful and highly extendable and best MQTT Broker for managing your devices. Bevywise MQTT Broker is a lightweight middleware that can help you work on your core business challenge and leave the data collection to the tool. Here we have listed some important criteria which makes Bevywise MQTT Broker standalone to be the best in the market.

Perfectly compliance with MQTT

Every MQTT Solution should support MQTT specification managed by OASIS MQTT Technical Committee. It should cent percent compliance with the MQTT standard specification. For more information, you can glean from the MQTT.org site.

 Bevywise MQTT Broker in that case, is built according to the  MQTT 3.1 and MQTT 3.1.1 version specifications. It connects any device and system reliably and securely via the standard MQTT messaging protocol. Beyond this MQTT 5 beta version is also available. Initially it is available only for ubuntu users.

Faster Throughput MQTT Broker

Fast and reliable message delivery / M2M connectivity is important for all IoT Applications.

Hence, we cautiously built the broker to get the best of both worlds. Therefore, We built the core engine on C and can give you the fastest throughput. The broker can read at a rate of 3 MB per second. For example, A typical deployment where devices send 50 bytes of data, the broker can handle 55,000 to 60,000 messages per second.

Data Analytics Integration

Enterprise / OEMs use a large number sensor to monitor and analyze their devices & product performance. One Size doesn’t fit all. This is true for every enterprise & OEMs going to implement IoT. As IOT is a diversified implementation, we allow users to store data into any of their engines as needed. You can process the data  by them before they send it to the storage. Some of the custom store implementation done by our customers.

You can use the custom store for the integration of the data received with any application. One of our customers has integrated the Broker with the softlab24 using the customer store. In addition, the new additional hooks will help you flexibly integrate your IoT data into any of the analytics for perfect visualization and data analysis.

We can provide a more customized integration of the MQTT Broker.  We would be happy to add your integration story here. Let us talk

Monitor & Create Custom Alarms

To Err is Human is the ultimate reason, why human invented machines. On the other hand, A continuous process industry, health care, logistics, National security and other mission-critical operations needs 24 X 7 monitoring. We built MQTTRoute with a Rule engine which helps administrators create event based rules for the sensor data. With this admins can easily create an alert message and send the message to a specific subscriber or web application. This help user from wasting human power and money.

MQTT Communication Security

With rapid increase IoT device connection to internet, many IoT bots or malicious data will crash the device and steal or know your data from via crashed device. Bevywise MQTT Broker has the most powerful and flexible security options. Enable TLS / SSL communication between your edge device & the MQTT Broker for a secure data flow. You can also create individual and highly secure authentication keys for each of your devices and make sure no one can intrude into the system.

Best  MQTT Broker Dashboard

IoT application needs a 360 overview of device status and the real time data monitoring for decision-making and analysis.  An overall summary dashboard gives the complete real-time overview and general status of the system.

Hence, MQTTRoute is much more than a middleware. It provides an option to view the list of devices connected right now and dig deeper into each device by messages, subscriptions, etc.  You can use the User interface to send a device management command to any of the devices. Administrators will be able to add Authentication keys from the user Interface dynamically without a Broker restart. Users can easily change the broker to their language via localization support. The MQTT Broker UI is also built with a dynamic update of the data from the server without a refresh for better monitoring of devices. Choosing the best MQTT Broker will mostly rely on the customizable dashboards which is the key for application output. Hence, Bevywise MQTT Broker provides option to customize UI with python hooks to integrate widgets based on Industrial / Business needs. You will be able to design your own UI to make it flexible for your industry.

With the latest update, we have added the support of creating multiple dashboard along with some built-in widgets from user interface itself.

High availability support

MQTT Broker should not fail as it is a necessary part of any IoT Application’s messaging framework. Failures can occur due to poor network connectivity, software and hardware component failures & more. Hence, Messaging services should be functionally available to ensure that they are up and running always. That’s why High availability MQTT Cluster is crucial for any IoT deployments.

Bevywise MQTT Broker is one such middleware which has cluster capability that will not fail and ensure that they are highly available.

Read this article to set up high availability MQTT Cluster with the MQTT Broker.

REST API Integration

In spite of MQTT being a powerful Communication protocol, we should not use them for building manager application integration. Refer to the best practices why MQTT is not the right choice for the manager application. MQTT Broker comes with a rich set of REST APIs which can be used for integration of your manager and also for building mobile applications over MQTT Broker.

Run anywhere

MQTTRoute can be run on Windows 7  &  10 Desktop and Windows Server 2012 & 2016, Ubuntu, Redhat, Raspberry Pi & Mac OS. You can run Broker on premise, private cloud and public cloud as needed. The server application can be run as a windows service or can be run using MMonit, docker / Kubernettes or using OS Service rules.

Faster Development Cycle

The framework has been added with multiple hooks so that we will be able to build application much faster. You will be able to add your AI / ML code and also customize widgets as needed. In one of our hackathon event, we were able to build IoT Application in a day using MQTT Broker.

With the powerful key functionalities & hooks, MQTTRoute can be the best choice as a MQTT Broker to build & manage your IoT Applications.

A recent deeper analysis of MQTT Brokers in the market by University of Szeged, unveiled that Bevywise MQTTRoute stands second along with Mosquitto on the message processing performance.

MQTTRoute defeats all prime MQTT Brokers such as HiveMQ, ActiveMQ with its message processing capabilities and better latency.

Check out the comparative study now!

I believe this article will help you choose the best MQTT Broker. Get Started with your IOT Implementation by downloading the FREE MQTT Broker now.

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Feel free to contact support for a free consultation.

 

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MQTT Broker Web interface – Refreshing Looks

MQTT Broker Web interface – Refreshing Looks

With the big launch of new version of MQTT Broker in a last week, we have updated the MQTT Broker web interface for the new looks.

Sounds amazing right!!

With a new modernising look and a fresh coat of paint, MQTT Route comes up with the better user interface. Starting with the typeface and layout to color and imagery, you will discern a lot of precise variations throughout the product. A good user experience depends not only on the performance but also on the user interface of the product. Hence, we want to make you feel amazed with the use of MQTT dashboard. Let us have a closer look at the new UI.

Refreshing the UI

At some point, all products must go through a visual refresh of some category or type. The freshen up of MQTT Broker Web interface was done to make it as attractive as possible. Users will witness the more cleaner user interface for the easier device management and the information will be displayed better to view the most important data.

Here is what it looked like before.

mqtt-dashboard

With the new cleaner and simplified user interface, users can experience the colourful and eye-catchy visuals to place a great emphasis on the data.

MQTT Route 3.0 dashboard

Enhancing the User Experience

MQTT Broker new UI now provides easy to view events and commands that are published from the connected device. The sign up page of MQTTRoute has been modified to look impressive and informative with the sneak peek of all available features. The default MQTT Dashboard comes up with more simplified data fields to allow users to add and update information easily and quickly. Multiple dashboard creation and widgets addition has been moved to the user interface for the ease of use.

Responsive Mobile User Experience

We are living in a multi-screen community where it is important for the product to be viewable across multiple devices as per the need of the users. Hence it’s fair for the users to expect appealing user interface with both desktop and mobile friendly. In that case, MQTTRoute new UI now provides mobile support that scales up and down automatically to match the mobile device it’s being viewed on providing a responsive user experience.

How widgets can help?

Every IoT application needs a powerful user interface to help users view and understand the real-time data captured by the IoT devices. It require dynamic UI’s which can fulfill the needs of multiple users. Ergo, MQTTRoute supports multiple MQTT dashboard creation with some built-in widgets to represent the data visually. It is not always necessary to write code to customize the MQTT dashboard. Users can just create multiple dashboard and lay out the widgets on the dashboard from the user interface itself. Simply pick the desirable one from the list of 8 pre-configured widgets, set up MQTT topic, right colors and relish a value bringing visuals.

Menu bars in the UI is a slot to access other available features in the MQTT Broker. Although it is a needed one, sometimes the user needs to have a menu bar free page with the full view of created widgets. To avail this, User can maximize the page view to display widgets in a complete page without other menus.

Besides this, User can download the data displayed in each widgets as CSV from the MQTT Broker web interface.

We keep on improving and adding necessary features of MQTT Broker. No matter how big we get, we will carry on to concentrate on the core user experience and make the application more efficient to handle and use.

Try the latest version of MQTT Broker for FREE

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For more reference, please refer our help document.

All New MQTT Broker, the MQTTRoute 3.0 is out now!!

All New MQTT Broker, the MQTTRoute 3.0 is out now!!

After months of preparations and development we take enormous pleasure on announcing the availability of updated version of Bevywise MQTT Broker, MQTTRoute 3.0.

Sounds great right!!

The benefits & excellence, the new version is going to provide for the budding application developers to advanced IOT end users will be as great as it sounds. These are intended to make your  IoT application development & application usage much easier & quicker. A few months back, in our MQTTRoute 2.0 update release, we have added some extensions with python hooks such as Custom UI, Custom storage & custom scheduler module which helps you build your application faster within a day. This just leaves your development challenge for your IOT Server application. We still want you to make your IoT application development process easier and also to make you visualize, access and what more you want to do with the data in a way you need. Hence, MQTTRoute is enhanced to support building multiple dashboards with some built-in widgets and to perform data aggregation with scheduler module for effective analysis. Let us take a quick ride on newly added functionalities & its usages.

Let data speak louder

One of the key challenges that every IoT application face is the interpretation of data & analysing it. Connecting data to your central server & collecting it alone will not be a successful IoT application. This is one of the major challenges in IoT application development. The data generated from different IoT devices will not be adaptable  unless you can analyze them and convert them into a comfortable way that is easy to comprehend, process and display visually. Hence, adding up data visualization has become the integral part of any IIoT / IoT application development process. The data becomes more meaningful when it is monitored and analyzed with the use of visualizations. Such capabilities will help in making accurate decisions. That is why they should focus on making their IoT data more meaningful, with data visualization to be able to identify and then act upon it quickly.

We know that the utilities of user interface differ with each application, it is not good to provide the tiresome static dashboard to view & access data. Hence, in the previous update, we have added some python extensions which allow developers to extend the custom user interface module to create their own dashboard & present the data in a way they need. We still want to ease the way of creating custom dashboards for our users. Hence we have added a few pre-built widgets which they can use to present the data in colourful charts & graphs.

Create Multiple Dashboards

A Single dashboard to view, manage & access all the generated data will always not appreciable as the IoT applications deals with n number of data sets & parameters / KPIs. So it is fair to provide the support of creating multiple dashboards for the IoT application. That’s why in the new version of MQTT Broker, we allow users to create & customize multiple dashboards exactly the way they want them.

Let’s say, a plant manager of an energy industry, producing energy from varied types of sources, who wants to have all the metrics at his fingertips to keep an eye on the effective working of a industry. As a large plant’s energy production and consumption is complex, dashboard with the complete overview is needed to get an idea of its functioning, efficiency, capacity etc. That is significant when it comes to make important decisions or taking immediate action on energy usage and optimization. The key factor that he need to measure is Availability Factor, Energy distribution & Performance ratio etc. For each key factors there will be n number of parameters to be considered. Hence each factor needs a separate dashboard to have better understanding.

With the new update, we support 8 built-in widgets includes Text, Color, Line, Bar, Gauge, Vertical gauge, Horizontal gauge, LED Light. These pre-configured widgets will allow users to create a customizable live Dashboard. Each widget has a separate way of representing data and hence the right set of data must be paired with right visualization widget to expect a compelling insight.

  • Text widget – More often used to display a string of text.

  • Color widget – A palette of colors to display the data.

  • Line chart – To illustrate trends in data over a period of time.

  • Bar chart – To present data that shows changes over time.

  • Gauge – To present data on a relative scale, including peak values.

  • Vertical Gauge – Same as gauge with vertical scale & multiple pointers.

  • Horizontal Gauge – Same as Gauge with horizontal scale & multiple pointers.

  • LED Light widget – To display the device status.

Perform data aggregation easily

As discussed earlier, Data analysis is the important part of any IoT application. The IoT application will become successful only when the data collected is analysed better to gain valuable insights from it. In between data and data analysis, there is a step known as data aggregation. The raw data which is generated directly from devices should not be used to process directly and it must be cleaned to fit in. Here comes the data aggregation. For example, raw data can be aggregated over a given time period to provide statistics such as average, minimum, maximum, sum, and count. After the data is aggregated and written to a view or report, you can analyze the aggregated data to gain insights about particular resources or resource groups.

To make such aggregation easier, we have added scheduler option. The scheduler module helps in an easy aggregation of data over a time period and the aggregated data can be viewed as reports to perform perfect analysis. This makes an easy and effective analysis of data.

This new additional functionalities will ease & fasten the IoT application development process helping developers to effectively address their development challenges.

Feel free to write to support for a complete Demo.

Download MQTTRoute 3.0 now to get started with your IoT implementation.

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The eFon Technology’s Smart Home security system trusts Bevywise MQTT Solution

The eFon Technology’s Smart Home security system trusts Bevywise MQTT Solution

The eFon Technology is one of the notable firms in Taiwan which provides home security solution for their customers. For years, eFon technology keeps the security of their customers as top priority. Today, they benefits several people throughout the region of Taiwan with an absolute home security solution ensuring as safe and secure as possible. They have developed the edge product with all the sensors needed for monitoring the Temperature, Humidity, Co2, Smoke and a few more critical information. They build actuators to control the Door & Windows. In 2018, eFon technology began using Bevywise MQTT Broker to act as a middleware & to collect data from their edge device for their home security systems. The use of MQTT here has been so successful & this IoT use case has benefited the eFon technology in providing a perfect smart home security solutions to their customers.

Smart Home Security Solution – Why MQTT?

There is an increasing need for the Smart Home security system in today’s world. Hence IoT home security system with camera is the gaining more adoption as it can create instant alerts to users anywhere over the internet.  The system also helps you control your appliance in home remotely. An article in “A Secure Life” outlines the top 10 reasons why you should have a IoT Home security system.

Interlinking & managing home security systems can be made achievable using the Message Queuing Telemetry Transport (MQTT) protocol. In today’s connected world, While there are many internet protocols in abundant, MQTT is often used in smart home security hubs. This is because, MQTT is uniquely designed for automation. In easy words, we need a communication protocol when we need to communicate between connected devices and controller & MQTT does that. This is because, its a light weight protocol, which has a very low footprint to send and receive data. So it uses very less amount of data to send and receive information. Therefore, MQTT is the best for smart home security systems.

Also, home security systems are highly expected to provide high standards & sophistications. Here are some critical factors that every home security system should have

  • Secure data transfer – Security is decisive in today’s world. If any intruder breaches such IoT connected security system, it pave the way for them to spy or rob homes.

  • Reliability and Flexibility – Another critical factor in home security systems is that connectivity should remain reliable and available.

By focusing on above challenges, you may ask How MQTT solves this? The thing is, even though there is no security options built inside MQTT, it provides some security protection & shield. The protocol enables client authentication which permits a two-side hand shake. If the connected  device supports SSL/TLS, then this technique allows for encryption of data in the message. The give & take authentication and encryption could prevent intruders and man-in-the middle attacks. This is how MQTT provides a secured data transmission. And also, MQTT is frequently used to master the gap between different protocols, so that different devices can communicate with each other even if they do not communicate using the same protocol. Coming to reliability, MQTT’s lightweight design, publish/subscribe method and quality of service levels deals with the reliability and efficiency requirements for home security systems.

Challenges they faced

The eFon technology need to differentiate themselves with unique offerings in order to retain customers in a competitive market.

 It includes,

  • Security system should serve multiple customers.
  • A dashboard for each user that can alarm and alert based on their own threshold value.
  • User interface that speaks their own language & also live CCTV video streaming.
  • Integrate UI with social platform.

Finally, eFon Technology need a complete MQTT server with embedded security, reliability & flexible functionalities along with the above mentioned sophistication.

Solutions we provided

As mentioned earlier, The eFon Technology has their own edge device with all the sensors needed. They use Bevywise MQTT Broker to collect data from their sensors by connecting it to the gateway. They were able to push the data based on the sensors to the Dashboard and create rules to show alerts based on received values. Bevywise MQTT Broker comes up with the custom store option which was leveraged and integrated with the Social Platform with a two way handshake model.  It helps them push the data to the Social application hosted separately. The Social application stores the mapping between the User gateway and the customer login to provide the corresponding alerts. In addition, MQTTRoute supports running it as a service & hence they were able to host it as a service on the Alibaba cloud to run it parallel to our Platform.

 MQTT Broker also supports users working with their native-language. This helps them have UI which speaks their local language.

 

The configuration screen and the alarm screens are as show in the figures below.

 

Configuring the Alarms for the individual

Figure 1 – Configuring the Alarms for an Individual

Live data view for particular individual

Figure 2 – Live Data view for a particular individual.

The User dashboard also has support for the streaming of the camera data from the individual customers home. The widget has an option to configure the IP Address of the Camera by the individual user.

Bevywise Networks customized the Social Web premium edition to store the Customer values and also provided an option on MQTT Broker to pull the list of sensors of the particular customer based on the data pushed from the edge devices.

In conclusion, we were able to use our MQTT Client modules & quickly build & provide them a complete solution. This is one of the internet of things success stories of MQTT implementation.

“ The team at Bevywise Networks is IoT domain and technology experts. Their expertise helped us converge on our implementation much easier and faster. We would be happy to recommend Bevywise for any IoT Implementation.”

– Shan Lin Chin, Efon Technology, Taiwan.

You can download the complete case study from here.

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