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Coverage and secrecy analysis of RF-powered Internet-of-Things

Coverage and secrecy analysis of RF-powered Internet-of-Things

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The objective of this chapter is to provide a comprehensive performance analysis of RF-powered IoT using tools from stochastic geometry. In order to capture the cyber-physical nature of IoT, our emphasis is on the metrics that jointly characterize the wireless, energy harvesting, and secrecy aspects. In the first part of this chapter, we characterize the joint probability of receiving strong enough signal and harvesting sufficient energy to operate the link. We term this the joint coverage probability. In this analysis, we assume that the locations of the sources of RF signals and the locations of the IoT devices are modeled using two independent Poisson point processes (PPPs). For this setup, we derive insightful mathematical expressions for key performance metrics, which collectively provide insights into the effect of the different system parameters on the overall system performance and how these parameters can be tuned to achieve the performance of a regular battery -powered system. In the second part of this chapter, we also incorporate the secrecy aspect in our analysis. In particular, we study the secrecy of RF signals when the RF-powered IoT devices are placed close to the sources of RF signals. Rigorous mathematical expressions are derived for various performance metrics, which provide several useful system design insights.

Chapter Contents:

  • 6.1 Introduction
  • 6.1.1 Literature review
  • 6.2 RF-energy harvesting from a coexisting cellular network
  • 6.2.1 System setup
  • 6.2.2 Performance metrics
  • 6.2.3 Analysis and main results
  • 6.2.4 Numerical results and discussion
  • 6.3 RF-energy harvesting from a coexisting, secrecy-enhancing network
  • 6.3.1 System setup
  • 6.3.2 Performance metrics
  • 6.3.3 Analysis and main results
  • 6.3.4 Numerical results and discussion
  • 6.4 Summary
  • Acknowledgment
  • References

Inspec keywords: stochastic processes; Internet of Things; probability; cyber-physical systems; energy harvesting

Other keywords: stochastic geometry; secrecy aspects; mathematical expressions; RF signals; independent Poisson point processes; RF-powered IoT devices; energy harvesting; comprehensive performance analysis; joint coverage probability; wireless energy harvesting; cyber-physical nature; regular battery -powered system; key performance metrics

Subjects: Energy harvesting; Mobile, ubiquitous and pervasive computing

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