Internet of Things

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Top IoT Platforms and Tools for Developers

Development of applications has taken a big leap after evolution of IoT app development companies. They build projects that are fast and easy to develop, very affordable and extremely successful.

Topmost IoT Skills to look out for

Developers need to be proficient in following skills to be apt for creating IoT projects:

  • Data science and analytics – 1027%*
  • Data mining: 230%
  • Matlab: 78%
  • Machine Learning: 199%
  • IT & Networking – 120%
  • Network security: 46%
  • Computer networking: 91%
  • Linux system administration: 26%
  • Engineering & Architecture – 68%
  • AutoCAD: 217%
  • Circuit design: 231%
  • 3D design: 29%
  • Wearables – 68%
  • GPS development: 66%
  • Electrical engineering: 159%
  • 3D design: 29%
  • Security – 51%
  • Security infrastructure: 194%
  • Network security: 46%
  • Security engineering: 124%
  • Connected Home – 41%
  • Microcontroller programming: 225%
  • Raspberry Pi: 17100%*
  • Circuit design: 231%
  • Web, Mobile and Software Development – 40%
  • iPhone app development: 40%
  • Node.js: 86%
  • MongoDB: 63%
  • Big data, data storage and processing/backend programming – 17%
  • Apache Spark: 1667%*
  • MongoDB: 63%
  • Big data: 183%

The percentage corresponding to these skills show the rise in popularity and demand for given skills in market.

Development of a Distributed IoT Service or an IoT Device

Programmers need to make use of embedded programming in order to develop IoT devices. Software components that are embedded within the device can be a small computer within the device and the application software / program that makes it run. Examples of IoT devices are Coonected home devices, wearables, circuit design, 3D deign and GPS programming etc.

Few points to be mentioned while creating a distributed IoT service:

  • Data and Analytics
  • Networking and IT Services
  • Designing and development of an integrated UI (E.g. – A simple mobile application to maintain and control temperature within room)

Read Also : Top 5 Trends in Internet of Things on 2017

IoT Platforms for Development

Interactive IoT devices and objects can be developed over Arduino platform. It combines a physical board processor that shields with individual libraries of C Code. This also comes with an integrated development environment (IDE) for writing, compiling and transferring code. Some development environment for IoT device development are:

  • Windows 10IoT Core – makes use of Visual Studio and Arduino Wiring API
  • Raspberry Pi 2
  • IBM’s Quarks IoT tools
  • Losant
  • Tessel 2
  • Platformio
  • Twilio Programmable Wireless
  • IBM Watson
  • IFTTT
  • Dronesmith
  • Kinoma
  • M2M Labs Mainspring
  • Flutter etc.

IoT Operating Systems and Hardware

From small prototypes to large technologies, the list of embedded devices goes on. Small computing devices embedded within are known as chips or boards. These come in various price ranges and levels of processing capabilities.

IoT Hardware Components include:

  • single-board processors like the Arduino Uno;
  • low-power boards;
  • field-programmable gate arrays (FPGA);
  • shields, which are smaller boards that plug into main boards to extend functionality by abstracting specific functions (e.g., interactive displays, GPS, heat and light sensors).

BeagleBoard is another small board computer that works with Linux Operating System, making use of an ARM processor.
Intel’s Edison and Galileo are other reliable options for large scale production
Qualcomm has also produced some technologies for the same platform

Sensor and Beacon Technology

IoT objects are able to broadcast information to nearby mobile devices by making use of bluetooth beacons. These are low power sensors that work on Bluetooth Low Energy (BLE) mechanism. While we are close to an IoT device, our mobile phone receives signals via one way communication mechanism. BLE requires less power, is economical (battery of a beacon can last upto 3 years, once charged). It can ideally be used for small mobile applications.

Summary

Thus IoT App Development Companies follow certain criteria for development and integration of IoT into their smart devices. These are:

  • Selection of appropriate application software
  • Selection of appropriate hardware platform
  • Creation of Integrated UI
  • Development of appropriate API’s, procedure calls and web sockets
  • Set up analytics, data storage and security

Appropriate application of these devices can lead to overall growth and development of economy.

Top 5 Trends in Internet of Things on 2017

Every user requires a single access point instead of multiple interfaces which are well connected, smart and fast. Almost every industry is investing in Internet of Things (IoT) recently.

Keeping this in view, let’s discuss 5 topmost IOT trends to watch out for in year 2017:

Application Programming Interface (API’s)

  • API’s acts as an interface and usually function to connect large amounts of relevant information with Internet of things. This makes it more useful and powerful.
  • API’s are considered as market enabler and are quintessential part of Internet of Things, without which they cannot work.
  • Multiple devices can be connected with each other, thus enabling large amount of data exposure and possibility to explore unseen dimensions via internet of things. This may even include monetizing it in future.

Internet of Things Platforms

  • Apps driven platform is getting replaced by Artificial Intelligence driven platform.
  • Good platforms provide enormous value by linking IoT to advanced analytics and applications to generate business outcomes. This enables the generated data to be meaningfully used by the users.
  • An IoT platform is required to collect data, connect devices, handle hundreds of vendors and dozens of wireless standards (like LoRa and SigFox etc.) and must be scalable enough to send messages across the network.
  • Platforms must be able and efficient enough to add close loop automation, privacy, security, cognitive and insight generation.
  • IoT can sometimes even act as an agent to transform business.

Security

  • Security is an important aspect, when everything is connected via internet. People rely on internet as it makes their lives easier and happier.
  • Application developers, device Manufacturers, operators, consumers, enterprise businesses and integrators etc all have to follow best practices to keep their data secure.
  • A multi-layered approach is required for Internet of Things security. Security approach must start with hardware devices then coming over to software / firmware.
  • A sequence of education, interoperability and decent design along with a proactive approach in designing security features is required to create better products and solutions.

Cognitive Computing

  • Internet of Things presents tremendous opportunities.
  • The commoditization of sensors, memory and processors has made things more intelligent rather than just being connected in a network and being identified with their IP addresses.
  • Traditional IoT implementations are accompanied by cognitive computing which increases the amount of data that helps in improving the learning environment and increases the possibilities of edge analytics.
  • Multiple data streams can be combined with cognitive IoT.
  • Sensors can be made capable of diagnosing and getting adapted with the environment, without human interference.
  • IoT value is further showcased by artificial intelligence, cognitive IoT and machine learning. To make use of existing IoT data and information new approaches are required

Blockchain

  • Blockchain enhances data security by making seamless transactions and enhancing supply chain efficiency.
  • In upcoming years, companies will start leveraging blockchain in 3 different ways:
  • Reduces cost and accelerate transactions – time commitment and monetary costs can be reduced as the transactions become one to one and no sort of middlemen are involved. Various app development companies have emerged up, that help in increasing audience size within estimated budget by incorporating IOT into their businesses.
  • Builds trust – between the parties and people that transact mutually

Conclusion

IoT solutions are the major driving force behind transformation of big industries. This will enhance new business models and enable changes in work processes, enhance customer experience and cost containment.