Signal processing techniques for energy efficiency, security, and reliability in the IoT domain

Abstract

The next generation of communication networks, known as 5G technologies, is envisioned to address several major technical challenges like increased data rates, efficient spectral use, higher capacity, etc. One of the core pillars of the 5G technologies is the Internet of Things (IoT) use-case. This employs hundreds or even thousands of smart objects serving numerous applications (e.g. environmental monitoring, smart homes, smart traffic management, etc.). Typical IoT applications become feasible through the use of large-scale Wireless Sensor Networks deployed using a number of miniature devices called as sensors or motes. In this chapter, we demonstrate how two popular signal processing techniques, namely Compressive Sensing and Matrix Completion can be used to make feasible energy efficiency, lightweight encryption, and packet loss mitigation. Furthermore, we present an IoT platform based on a Software Defined Radio that provides multiple channel support for both IEEE 802.11 and IEEE 802.15.4 standards.