iot2

Naturalizing IOT through standardization

ManagementTeamMouli1

Kavitha Gopalan

Internet of Things is one of fast growing technology in the recent years. Its expected that the growth of connected things will be around 50 billion by 2020. Every industry vertical has signed itself into embracing IOT either to create cutting edge products or for optimizing the resource and improve efficiency. As IOT growth explodes there are few challenges that are becoming key road blocks for a wider adoption of IOT. The two of the challenges that stands out are the security and Standardization.

Like any new growing technology standardization is important for IOT. Standardization will allows devices to interoperable in IOT and allow seamless integration between various verticals. Several attempts has been made to standardize IOT, new alliances and consortiums have been formed but there is yet no single winner though many have shown promises for becoming one.

Why is standardizing IOT difficult?

The main reason for the complexity of IOT standardization is the fragmented nature of its adoption base. IOT is a global phenomena and it has expanded its roots to all sectors of life- Factories, Healthcare, transportation, utilities, home. The standards and protocol used for one vertical may not scale well for the other . For example a smart home device may be managed with wireless protocol such as Zigbee or WiFi. But when IOT is used for an M2M application Zigbee or WiFi may not be the right approach we need to look at cellular communication protocols.

Similarly each layer of the IOT architecture could vary depending on which industry its used for. The way an industrial application handles data may be different from the way home device handles it. So arriving at common standard which is aggreable to all has been difficult.

Differences in IOT spring from each layer of the architecture. Each vendor/manufacturer use the approach which easily adaptable to their industry segment.

Where are we now?

Z-wave and Zigbee were the top standards used by several smart home manufacturers in the beginning. But they could not establish themself as the defacto standard for IOT. Then we had many more communication protocols that emerged as the one that could serve the needs of IOT, there re around 12+ protocols now available for IOT, Bluetooth, Zigbee, Zwave, EnOcean, NFC, WiFI, LPWAN, NB-IOT, weightless, LoRA, LTE, Cellular being some of them.

The differences are just not in the communication layer.Different standards are available for data transport in IOT – MQTT, CoAP, REST, SOAP, Websocket.

Many consortium and alliance have been formed to standardize IOT. Some of the as listed below

  • The Open Interconnect Consortium has come out with their IOTvity standards
  • AllSeen Alliance has their ALLJoyn standard.
  • THread group has the thread standard.
  • ZigBee Alliance has their Zigbee standard.
  • Z Wave alliance.
  • Industrial Internet Consortium.

The goal of these consortiums is to find a common ground /standard that every vendor manufacturer can follow while implementing IOT. But unfortunately they haven’t been able to agree on the terms But currently no one has emerged as the leader in setting the standards. Disagreement in standards , licensing has been the reason for no clear winner. Which standard will emerge as a leader will be based on which is easily adoptable by manufacturers.

Right now every vendor puts together the pieces that works best for their application without much thought on the standards. But if IOT has to mature a common standard must emerge which would allow Interoperability of various devices and can scale to different industry verticals seamlessly. Whether this is possible or not depends on how much collaboration happens between these different consortium.

raspberry-pi_connect to Paasmer IoT Platform copy-min

How to Connect Raspberry Pi 3 to the PAASMER IoT Platform

ManagementTeamMouli1

Srinidhi Murthy

In this blog series we look at how to connect a Raspberry PI 3 to the PAASMER IoT Platform.

The PAASMER IoT Platform makes it simple for Internet of Things companies to build and launch IoT enabled hardware. PAASMER currently provides a SDK which can be installed on the hardware.

Modifying a few lines of code to provide the correct credentials and sensor information, it is ready to be connected to the PAASMER IoT Platform. The sensor data is then available on the PAASMER Developer Login, which can be utilized and actions taken by using the control fields to control various other sensors connected to the Hardware.

A pre-requisite for using the SBC-SDK is the available of the Raspberry Pi 3 hardware running Raspbian Jessie OS. More hardware and software support would be added shortly.

An account created in http://developers.paasmer.co allows for a 30 day trial period to explore the PAASMER IoT platform. After creating and activating the account, the SDK for the appropriate hardware can be downloaded.

Given below are the detailed steps to be followed after downloading the SBC-SDK.

PAASMER IoT SDK for Single Board Computers Running Linux

Overview

The PAASMER SDK for Single Board Computers (SBC) like Raspberry-PI, Intel Edison, Beagle Bone is a collection of source files that enables you to connect to the PAASMER IoT Platform. It includes the trasnport client for MQTT with TLS support. It is distributed in source form and intended to be built into customer firmware along with application code, other libraries and RTOS.

Featuers

The SBC-SDK simplifies access to the Pub/Sub functionality of the PAASMER IoT broker via MQTT. The SDK has been tested to work on the Raspberrp Pi 3 running Raspbian Jessie. Support for Other SBC’s running any flavors of Linux would be available shortly.

MQTT Connection

The SBC-SDK provides functionality to create and maintain a mutually authenticated TLS connection over which it runs MQTT. This connection is used for any further publish operations and allow for subscribing to MQTT topics which will call a configurable callback function when these topics are received.

Pre Requisites

Registration on the portal http://developers.paasmer.co, is necessary to connect the devices to the PAASMER IoT Platform .The SDK has been tested on the Raspberry PI 3 with Raspbian Jessie (https://downloads.raspberrypi.org/raspbian_latest)

Installation

  • Download the SDK or clone it using the command below.
    • $ git clone github.com/PaasmerIoT/SBC-SDK.git
    • $ cd SBC-SDK
  • To connect the device to Paasmer IoT Platfrom, the following steps need to be performed.
    • $ cd external_libs/mbedTLS/
    • $ make
    • $ cd ../../
    • $ sudo ./install.sh
  • Upon successful completion of the above command, the following commands need to be executed.
    • $ sudo su
    • $ source ~/.bashrc
    • $ PAASMER
    • $ sed -i ‘s/alias PAASMER/#alias PAASMER/g’ ~/.bashrc
    • $ exit
  • Go to the diectory below.
    • $ cd samples/linux/subscribe_publish_sample/
  • Edit the config.h file to include the user name(Email), device name, feed names and GPIO pin details.
    #define UserName "Email Address" //your user name used in developer.paasmer.co for registration
    #define DeviceName "" //your device name
    #define feedname1 "feed1" //feed name used for display in the developer.paasmer.co
    #define sensorpin1 gpio-pin-no-for-sensor-1 //modify with the pin number which you connected the sensor, eg 6 or 7 or 22
    #define feedname2 "feed2" //feed name used for display in the developer.paasmer.co
    #define sensorpin2 gpio-pin-no-for-sensor-2 //modify with the pin number which you connected the sensor, eg 6 or 7 or 22
    #define feedname3 "feed3" //feed name used for display in the developer.paasmer.co
    #define sensorpin3 gpio-pin-no-for-sensor-3 //modify with the pin number which you connected the sensor, eg 6 or 7 or 22
    #define feedname4 "feed4" //feed name used for display in the developer.paasmer.co
    #define sensorpin4 gpio-pin-no-for-sensor-4 //modify with the pin number which you connected the sensor, eg 6 or 7 or 22
    #define controlfeedname1 "controlfeed1" //feed name used for display in the developer.paasmer.co
    #define controlpin1 3 //modify with the pin number which you connected the control device (eg.: motor)
    #define controlfeedname2 "controlfeed2" //feed name used for display in the developer.paasmer.co
    #define controlpin2 4 //modify with the pin number which you connected the control device (eg.: fan)
    #define timePeriod 15000 //change the time delay as you required for sending sensor values to paasmer cloud
  • Compile the code and generate output file.
    • $ sudo make
  • Run the code using the command below.
    • $ sudo ./subscribe_publish_sample
  • The device would now be connected to the Paasmer IoT Platfrom and publishing sensor values are specified intervals.

Support

The support forum is hosted on the GitHub, issues can be identified by users and the Team from Paasmer would be taking up requstes and resolving them. You could also send a mail to support@paasmer.co with the issue details for quick resolution.

smartthings_2

Is Node Red the key to unlocking the potential of Internet of Things

ManagementTeamMouli1

Kavitha Gopalan

IOT is in forefront of all technology discussion. Lot of new tools, platforms and product evolve everyday to meet the growing needs of the IOT market.

Developing IOT applications can be a daunting task . There are so many pieces to be glued together for the IOT product or solution from sensors, gateways, cloud, middleware, analytics and so on and not to mention the task of understanding the various application development frameworks and standards that come with it.

IBM’s open source project Node Red is intended to reduced the software complexity of building IOT project and help in rapid development of applications.

Node Red is a powerful open source visual tool used for building IOT applications. It revolves around the concept of wiring together the different pieces of blocks to create the functionality. It has multiple pre-built code blocks known as “Node” which can be called to perform a task. For example, if you want to turn on your LED bulb with a twitter hashtag #Led you can simply connect the twitter node ,trigger node and your bulb.Node red is a flow based programming tool where series of nodes represents events and trigger based on event can be programmed.

Programming Visually With Node-RED: Wiring Up The Internet Of Things With Ease written by Jesus Dario Rivera from Toptal gives a very good introduction into using Node red to create smart home application

He writes

“To demonstrate how Node-RED fits into the realm of Internet of Things, let us build an application to change the color of a smart bulb. Not everyone may have the same smart lighting system at their disposal, but there is nothing to worry about, as you can find the appropriate Node-RED module from the official flow repository. However, to make things even easier let us go for something smarter”
Read mode here https://www.toptal.com/nodejs/programming-visually-with-node-red

Also read PAASMER’s blog on How to connect devices to AWS IOT in this blog
http://blogs.paasmer.co/series-blogs-connect-esp-8266-nodemcu-aws-iot/

Stream_Analytics_1

How to setup Stream Analytics for IoT

ManagementTeamMouli1

Srinidhi Murthy

What is Stream Analytics
Stream analytics or Streaming analytics typically means making analytically informed decisions in milliseconds, while examining many thousands of events per second, generated from many millions of devices which can also be enriched by many other disparate sources of data.

Stream analytics is important for institutions and individuals alike. We need to know what is happening now and not miss out on anything important. An event with a particular machine at my productions plant or someone breaking and entering my home is of importance to me now and not later as this helps me in immediately initiating remedial actions based on events.

IoT is a typical use case for Stream Analytics as we have millions of things generating many million events which need to analyze on the fly and make informed choices either automatically or by human intervention.

Stream_Analytics_paasmer

A Streaming analytics platform has the following features:-

  • Data or events are analyzed in almost real time.
    • They may be routine monitoring, counting, alerting and reporting of data.
    • They may also include this filtered data or enriched data to be fed into complex decision making systems for training and predictive analytics.
  • Every incoming event is distinctly processed.
  • Events may be stored for future usage.
  • Immediate actions are possible after processing of events, albeit simple actions like sending alerts, mails, streaming etc.

Advantages of Streaming Analytics:-

  • Business value of data diminishes with age. With streaming analytics, an immediate action based on data is possible.
  • Immediate threats to life, infrastructure is drastically reduces.
  • Predictive maintenance to cut future losses.

Conclusion: We have options from all three major IoT platform providers AWS, Azure and Google to do stream Analytics. A detailed study on each of this platform will be published as whitepaper, watch our resource page for this whitepaper click here.

Smart_home_protected_paasmer

Smart Home :- A protected Nest or an Open Book

ManagementTeamMouli1

Kavitha Gopalan

IOT is revolutionizing several industries including the consumer industry. Smart home has emerged as one of the top adopters of IOT with some of the cool innovative products. And its growing at a phenomenal phase. In 2016, 80 million smart home devices were delivered worldwide, a 64 percent increase from 2015, according to IHS Markit . CES 2017 saw around 190 exhibitors showcasing some of the innovative and futuristic smart home offering.

The idea of connecting the everyday home devices to Internet and its ability to be controlled form anywhere was refreshing and everyone jumped on the smart home train. Answering your door even while you are on a vacation, turning on your sprinkler while you are away from home, getting your coffee ready while you still asleep all these looked like a dream from a SCi-FI movie and yet it was affordable and adoptable. This helped in the steep growth of smart home products in the last couple of years. Definitely smart home is taking the concept of home to a new level.

However the question remains if the privacy and security which is the foundation of home will get lost as we move into the era of smart home. Is my private data safe anymore? Am I the only one who knows about me?

Home Smart Home: Domesticating the Internet of Things written by Kent Mundle of toptal discuss this key aspect.

He says “The home is the original security device – the original firewall. But now, as we allow the entire world to float through our walls and into our homes, have we deflated the entire meaning of our home that has stood for millennia? We speak of security and privacy now in the context of technical systems and hardware. But have we forgotten the origin of what privacy meant? In the spaces where we were once the most intimate, by inviting the world in we are becoming the most exposed. To adopt the Smart Home, must we forfeit the home?

Read more here https://www.toptal.com/designers/interactive/smart-home-domestic-internet-of-things

The Smart home devices have become the hub for several security attacks. The recent Mirai security attack used smart home devices as botnet to create havoc. Hence it becomes imperative to secure the connected devices to prevent any unwarranted usage.

PAASMER IOT platform follows a ground-up implementation to ensure data from device to cloud and beyond is secure and no data compromise happens. It also ensures that the devices are not exposed for any kind of attack.

Read more about how PAASMER IOT platform help to build secure IOT products and solutions.

http://blogs.paasmer.co/securing-iot-devices-through-paasmer/

iot-and-security-challenges

Real State of IoT and the Security challenges

ManagementTeamMouli1

Chandramouli Srinivasan

In a recent article by our friend Nermin at Toptal says “The Internet of Things (IoT) has been an industry buzzword for years, but sluggish development and limited commercialization have led some industry watchers to start calling it the “Internet of NoThings”. Double puns aside, IoT development is in trouble. Aside from spawning geeky jokes unfit for most social occasions, the hype did not help; and, in fact, I believe it actually caused a lot more harm than good. There are a few problems with IoT, but all the positive coverage and baseless hype are one we could do without. The upside of generating more attention is clear: more investment, more VC funding, more consumer interest”

He also says the top two challenges that continues to haunt IoT as “1) Security – Just not the vulnerable devices that gets hacked but also the misuse of the data collected from devices. 2) Hardware pain points – Security needs to be built from hardware and that comes at a additional cost”

While the concerns are genuine on security, we have been talking to a few IoT device manufacturers on the need to increase their budget for hardware and software to secure the devices they use or sell. Most of these cases, we still a lot of reluctance to implement additional security at an additional cost on the consumer side while enterprises are willing to secure the devices at an additional cost. Also the new software paradigms of “IoT on ToR” and “IoT on BlockChain” are also starting to get traction and they also are going to come at additional cost. It appears like it will take many more massive security attacks like Anti-DDoS to shift the mindset to put security first in IoT product designs. The questions remains as “Are we willing to pay the price for what?”

Read full article from Nermin in this link : https://www.toptal.com/it/are-we-creating-an-insecure-internet-of-things

Also check out our article on “IoT on BlockChain” in this link : http://blogs.paasmer.co/a-marriage-made-in-heaven-iot-blockchain/

lpwan-iot

The Choice of IOT network – LPWAN leading the way?

ManagementTeamMouli1

Kavitha Gopalan

IOT is the next technology transition where devices allow us to sense, control and manage the devices by making them smarter and connecting them through an intelligent network.

If you look at the building blocks of IoT there are four main blocks 1) Sensors or things or Edge as you may call it 2) The Local Network; this can include a gateway, which translates proprietary communication protocols to Internet Protocol 3) Internet 4) Back end services.

The local network or the network that connects the “things” and places them on the internet is what we will focus today. Choosing the right communication technology is crucial to the success of building an efficient IOT system.

There are many choices available like cellular, Wi-Fi, ZigBee, Z-Wave, En-Ocean, 6LoWPAN and LPWAN. Most of these technologies except cellular and LPWAN are mostly suited for short range communication typically an indoor kind of application. IOT connects millions of sensors to the internet. For connecting these devices to internet and to be able to control and manage from anywhere would require us to use either cellular or LPWAN.

Here is a simple comparison of various IOT networks available and their distinctive features.

Technology3GLTEWiFiZigbee6LoWPANLPWAN
Long RangeYesYesNoNoLimited 1.5KmYes
Tx Current Consumption500-1000mA600-1100mA19-400mA34mA35mA20-70mA
Operating Battery Life2-4 hours2-3 hours2-8 hours60 hoursVariable10 to 20 years
Module Cost$35-$50$40-$80$5-$8$6-$12$3$2-$5

Long Range, Low power consumption , long battery life and low cost are the key factors which make LPWAN ideal network of choice for IOT. Lets dig a bit deeper into this.

In a typical IOT implementation there could be multiple sensors which could be sensing and transmitting the data. These are readings like the temperature or moisture level etc. which are short and simple message. For examples the Sensors in the factory floor sending data or sensors in the crop field sending the moisture level or location information send by fleets.

Using cellular for transmitting these simple message is overkill. It consumes more power and it is going to be costly. Cellular connections for streaming video, games, and conversation require relatively huge bandwidth compared to the simple status reports that will make up the bulk of Internet of Things transmissions.

The other challenge in an IOT application is the power consumption. LPWAN consumes extremely low power and can operate for years on a battery.

LPWAN provides long range communication, consumes low power and costs very less compared to a cellular network. Many service providers are already considering LPWAN.

What is LPWAN?

LPWAN stands for Low Power Wide Area Network. Long Range, Low Power and Low data throughput are the key characteristics of LPWAN. LPWAN sits in a sweet spot of IOT – Long range and Low bandwidth.

lpwan_iot_network

Some of the characteristics of LPWAN

SpectrumUn licensed <1GHz, 2.4GHz
Long Range10s Km
Battery LifeUpto 20 years
Low BandwidthUpto 100Kbit/s
Low Chip cost<$5
Low subscription Costs<$10
LatencyUpto Mins

LPWAN typical use cases involve long range communications even in dense urban areas or Remote application requiring long battery life. Examples would include Smart city, smart lighting, smart metering, smart factory, Smart grid, Smart agriculture.

There are multiple long range low power networks evolving like SIGFOX, LoRA, WAVIOT. Ingenu, weightless-N.

LoRA and Sigfox are in the top of LPWAN lists with good hardware availability and maturity. Both companies have different technologies and business model but their goal is to make more and more mobile network operators to adopt their technology.And the comparison between them are for another blog.

For now it looks like LPWAN will be leading the way for IOT networks but if 5G comes with a bang to take IOT head on then the table could turn. Only time will tell!

iot_smart_city

Peek into How Smart Cities are Shaping across the Globe

ManagementTeamMouli1

Kavitha Gopalan

Smart City has become more than a buzzword in the recent time, Government and city officials are looking for ways to use the concept of smart cities projects for resolving the challenges faced by cities. According to various market research Smart city market size will grow to around $1.4 trillion by the year 2020 which is quite significant.

It’s difficult to accurately define what is smart city. The idea is to make a city “smart” and efficient to improve the living condition of its citizens and propelling itself for a prosperous growth. It’s a vision in which the challenges in the cities like environment, economic, demographic and social are overcome by using digital technology. A Smart City could help in cities betterment through

  • Efficiency improvement – prevent wastage.
  • Economic impact like reduce cost, increase revenue.
  • Environmental impact like reduced CO2 emission, pollution reduce the wastage of resources like electricity, water.
  • Social inclusiveness – providing open data to public to help then in decision and interacting with city officials.
  • City attraction.

The growth of Internet of things and AI will drive the adoption of smart cities quicker. Internet of Things allow the devices to be interconnected and allows them to communicate their status and data to others. This allows various services in the City to be interlinked and transforming them to a smart city

A smart city will have interlinked city services like trans portion, schools, libraries, transportation systems, hospitals, power plants, water supply networks, waste management, law enforcement, others. By interlinking the information from various city services the inefficiencies and challenges faced by the city could be mitigated.

A smart city should have implemented features like Smart Grid, Smart Traffic management, Smart parking, Smart street light management, Smart natural resource utilization.

Some of the smart City initiatives include

Smart Traffic management: The sensor data from the streets streamed live could transmit status of traffic on streets and connecting this data to the transportation system could divert the traffic to a less congested route. This could also be interlinked to the home assistance device like Alexa to inform citizen on the status.

Other similar application would be a smart parking system. Here the parking spaces fitted with sensors could transmit the status of occupancy and interlinking it to the various parking spaces in the city could allow citizen to find the nearest parking space to their destination through a mobile app.

Smart waste management in which the waste disposal happens in an efficient way and helps reduce the overall cost. Sensors fitted in garbage can signal when they are full and waste disposal can be initiated. This helps in reducing the logistics management of the vehicle to only when required and helps in reducing unnecessary movement of vehicle in road.

Smart Lighting which helps to reduce electricity consumption through the use of smart lighting control, like turning on only when the ambient light is low and turning off when not needed. Smart Lighting systems are frequently also equipped with central management software that monitors usage and leads to maintenance efficiency.

A new report released this year by Juniper research ranked Singapore as the smartest City followed by Barcelona, London, San Francisco and Oslo. They used some 40 metrics to evaluate covering technology, transport, energy, open data and economy higher weight age for transport and energy. Some of the smart city initiative by them includes

Singapore: sensors to track smoking in unauthorized zone , open data from sensors and cameras to track traffic which public can view, smart traffic light , smart parking, Singapore encourages use of public transportation and has reduced the number of private vehicle on road.

Barcelona: smart traffic management system, smart parking technology, smart streetlights, and sensors for monitoring air quality and noise, smart grid pilot projects, smart meters, smart sensors for irrigation.

London: technology to help tackle congestion and make parking simpler and Smart transportation.

SFO: smart parking, smart urban development initiatives, smart transportation.

Oslo: reduce energy consumption and greenhouse gas emissions, sensor network to help improve the care of sick, elderly patients, smart LED lighting and has launched a broad sensing network for monitoring traffic levels.

There are lot of projects that could be done in a city which could deem itself propelling the city to being considered a “smart city”. But will there be a smart City “achieved” status? Probably no because there will always be room for improvement and it will be ongoing process.

iot_block_chain

A Marriage made in Heaven – IoT & Blockchain

ManagementTeamMouli1

Chandramouli Srinivasan

One of the Forrester research predictions for IoT in 2017 is the marriage of IoT with Blockchain which could resolve all the potential security threats & vulnerabilities of IoT. Blockchain was originally designed for financial applications like virtual currency (Bitcoins). However, experts predict that its application in other area like IoT can offer an immense secure advantage.

Blockchain technology – that highly disruptive online general ledger or database – is poised to recast the Internet of Things, opening it up to networks and partnerships to accelerate its value. Blockchain “may have the most impactful potential of the entire portfolio of disruptive technologies that are now emerging.” That’s because blockchain is likely to impact many aspects of business operations and strategies – such as business models, processes, supply chains and customer relationships. The Internet of Things, in particular, is an initiative will see a re-arrangement due to blockchain.

The definition of blockchain is in its ability to digitally deliver “peer-to-peer value exchange.” Security and verifiability is inherently protected through its “globally distributed computations and heavy duty encryption — that ensure the integrity of the data traded among billions of devices without going through a trusted third party. Trust is hard-coded into the Blockchain platform and the platform acts as a ledger of accounts, a database, a notary, a sentry and clearing house, all by consensus.

Here is the picture of a typical Blockchain transaction

iotandblockchain

How can Blockchain be used in IoT?
In an IoT network, the blockchain can keep an immutable record of the history of smart devices. This feature enables the autonomous functioning of smart devices without the need for centralized authority. Thus, the blockchain opens the door to a series of IoT scenarios that were remarkably difficult, or even impossible to implement without it.

By leveraging the blockchain, IoT solutions can enable secure, trustless messaging between devices in an IoT network. In this model, the blockchain will treat message exchanges between devices like financial transactions in a bitcoin network. To enable message exchanges, devices will leverage smart contracts which then model the agreement between the two parties.

In this scenario, we can sensor from afar, communicating directly with the irrigation system to control the flow of water based on conditions detected on the crops. Similarly, smart devices in an oil platform can exchange data to adjust functioning based on weather conditions.

Using the blockchain will enable true autonomous smart devices that can exchange data, or even execute financial transactions, without the need of a centralized broker. This type of autonomy is possible because the nodes in the blockchain network will verify the validity of the transaction without relying on a centralized authority.

PAASMER is one of the few platforms that already has a working prototype implementation of Blockchain for IoT. Production & commercial usage of this implementation is slated for general availability in PAASMER within the next couple of years.

prognosis_paasmer

Prognosis 2017 for IOT

ManagementTeamMouli1

Kavitha Gopalan

IOT has seen unprecedented growth in last few years. But In 2016 IOT saw a lot of traction and the real value IOT brings to enterprise and Industry is driving wider adoption. This could well extend into 2017.

Forrester has recently published their prediction on what 2017 holds for IOT in “Predictions 2017: Security And Skills Will Temper Growth Of IoT”. There are also other research firms publishing IoT prediction for 2017. This blog compiles the key trends emerging from these researches and what the industry experts.

Edge (Fog) Architecture evolution
Edge computing will become vital for Internet of things. Fog computing is concept of moving the cloud closer to the devices collecting the data. This helps to restrict moving only the needed data to cloud and thus saving on bandwidth, latency and security. For Industrial IOT this will become a key architecture. Our platform’s key differentiating factor is our Edge innovation including Edge Operating system, Edge Database, Edge Analytics and Edge Machine Learning.
Know more about Fog Computing from this blog.

Cloud and Artificial Intelligence
Cloud will continue to be an anchor in almost all IOT implementation for data collection. New mechanism for data collection could emerge and AI will play a key role in IOT.

Block Chain and IOT will form the partnership
“We will see the first prototypes of smart contracts built on blockchain” says this Forbes article. Marriage of blockchain and IOT could start emerging in 2017. Blockchain could play a key role in securing IOT. Here is see our article that talks about how we intend to do this marriage on our platform here

Network specifically for IOT will emerge
IOT network requirements are unique, they transfer lots of small bytes of data over different communication channel. Different network topologies have emerged from Zigbee, Zwave and then we have continued using existing ones like Wi-Fi and bluetooth. New wireless communication technologies like LoRaWAN, Sigfox, or 3GPP’s narrowband (NB)-IoT are being designed specifically for IOT. Different countries have launched specific networks for IOT.

Security will be a key discussion point for IOT implementation
We have seen large scale security breach from IOT devices in 2016 like the MIRA attacks. This could continue well into 2017 , new types of attacks using IOT botnets could emerge and security could be a widespread discussion topic. This could lead to higher focus on security for new implementation in 2017.

IOT will surely continue emerge as a much hotter technology in 2017. We can definitely see IOT solving lot of real problems and bringing transformation into this world. Only 2017 will tell if these predictions are true and any other new trends will be evolving in the field of IOT.