Affiliation:
1. Amity University – Mumbai, India
Abstract
The industrial IoT marching towards the digital twin and the broad spectrum of applications need the specialized low power protocols for communication and data transfer. This chapter provides a comprehensive discussion on the challenges, opportunities, use cases, platforms, and protocols for the deployment of low power protocols in the context of IoT applications. Moreover, discussion extends to the various custom techniques for energy saving in the communication of sensors to hardware, hardware to Cloud, and deferred data pushing in edge computing. The traditional wireless data transfer and communication protocols are suitable in case of the hardware platforms connected with seamless power supply. However, there is need of low power protocols 6LoWPAN, LoRaWAN, Sub 1, ZigBee, BLE, NFC, and other telecommunication protocols across several IoT applications. The SBCs and micro-controllers are not always equipped with these protocol-enabled hardware. This chapter addresses the suitable hardware and combination with low energy options as per the budget, range, and specifications.
Reference39 articles.
1. Toward Better Horizontal Integration Among IoT Services;A. F.Ala;IEEE Communications Magazine Communications Standards,2015
2. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
3. A Bluetooth Low Energy Based Beacon System for Smart Short Range Surveillance;B. G.Anilkumar;IEEE International Conference on Recent Trends in Electronics Information Communication Technology,2016
4. Antonio, J. J., Miguel, A. Z., & Antonio, F. G. S. (2010). An Architecture Based on Internet of Things to Support Mobility and Security in Medical Environments. IEEE CCNC Proceedings, 1-5.
5. CEPM. (2017). Case Study – CEPM. White Paper by Ingenu,1-2.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Machine Learning Supported Statistical Analysis of IoT Enabled Physical Location Monitoring Data;New Trends in Computational Vision and Bio-inspired Computing;2020
2. Convergence of Manufacturing Cloud and Industrial IoT;Applying Integration Techniques and Methods in Distributed Systems and Technologies;2019