Top 10 Emerging IoT Technologies
The technologies and the principles of IoT (Internet of Things) will have a broad influence on organizations affecting the strategy of a business, risk management, and technical zones like ‘architecture’ and ‘network design’. IoT will need an extensive range of technologies and skills that many companies have not yet mastered. According to Nick Jones, a vice president and distinguished analyst at Gartner (world’s foremost research and advisory company), the top 10 emerging IoT technologies are as follows:
- IoT Security: Security technologies will be compulsory to guard IoT devices and platforms from both information attacks and physical meddling, to encrypt their communication, and to address novel challenges, such as imitating “things” or denial-of-sleep attacks that drain batteries. IoT security will be difficult to analyze by the fact that many “things” use simple processors and Operating Systems (OSs) that may not support the state-of-the-art security approaches.
- IoT Analytics: IoT business models will deploy the information collected by “things” in multiple ways, which will require new analytic tools and algorithm. As data volume augments over the next 5 years, the needs of the IoT may deviate further from conventional analytics.
- IoT Device (Thing Management): Long-lasting nontrivial “things” will require management and monitoring embracing device monitoring, firmware and software updates, diagnostics, crash analysis and reporting, physical management, and security management. Tool should be up to managing and monitoring thousands and presumably even millions of devices.
- Not High Power and Short IoT Networks: Not high power and short-range networks will regulate wireless IoT connectivity by the year, 2025 outnumbering connections exploiting wide-area IoT networks. Commercial and technical tradeoffs signify that many solutions will coexist without a single dominant winner.
- Low Power and Wide Area Networks: Conventional cellular networks do not provide a good amalgamation of technical features and operational cost for those IoT applications that require wide area coverage joint with comparatively low bandwidth, good battery life, low hardware and operating cost, and high connection density. Emerging standards like narrowband IoT very likely dominate this space.
- IoT Processors: The procedures and architectures deployed by IoT devices describe many of their capabilities, such as whether they are up to robust security and encryption, power consumption, and whether they are advanced enough to support an Operating System (OS), updateable firmware, and embedded device management agents. Comprehending the implications of processor choices will require deep technical skills.
- IoT Operating Systems: Conventional OSs, such as Windows and iOS were not designed for IoT applications. They utilize too much power, require swift processors, and sometimes lack features like guaranteed real-time response. They possess large memory footprint for small devices and may not support the chips that IoT developers exploit. As a result, a wide range of IoT-specific OSs have been developed suiting distinct hardware footprints and future needs.
- Event Stream Processing: Some IoT apps (applications) can generate high data rates that should be analyzed in real-time. Systems producing tens of thousands of events per second are common, and millions of events per second can occur in some situations. In order to address such requirements, distributed stream computing platforms have come into existence that can process very high-rate data streams and do tasks, such as real-time analytics and pattern identification.
- IoT Platforms: IoT platforms bundle up many of the infrastructure components of an IoT system into a sole product. The service provided by IoT platforms fall into three main categories that are as follows: low-level device control and operations, IoT data acquisition, transformation, and management, and IoT application development.
- IoT Standards and Ecosystems: Standard and their allied Application Programming Interfaces (APIs) will be vital, because IoT devices will need to interoperate and interconnect, and many IoT business models will depend on sharing data between multiple devices and organizations. Numerous IoT ecosystems will emerge, and organizations creating products may have to develop variants to support multiple standards or ecosystems.