Performance Analysis of Relay Model-based Energy Harvesting in CR-WBAN

Abstract

An emerging technique was introduced to extend the network lifetime of energy-limited relay nodes in wireless networks. In this paper, the spectral and energy efficiency of Wireless Body Area Networks (WBAN) is investigated. A novel Relay model-based WBAN with Energy Harvesting for enhancing spectrum utilization using Cognitive Radio (CR) technology. This approach involves the surrounding of RF signals, allowing the nodes to gather energy and process data within a WBAN, specifically for medical monitoring purposes enabling the coexistence of diverse implanted devices while maintaining their QoS. It facilitates the simultaneous operation of distinct sensor nodes for primary and secondary networks in on-body CR-WBAN, categorizing nodes based on medical and non-medical applications. The proposed protocols designed for energy harvesting notably Time Switching System (TSS) and Power-Splitting System (PSS) are utilized to enable the cooperation of secondary nodes with the primary network, allowing them to access the spectrum in exchange. The numerical analysis of proposed overlay CR-WBAN in aspects of outage probability, coverage analysis, throughput analysis, and energy efficiency performances considering a delay-limited scenario are examined. The numerical simulations confirm the validity of all the developed theoretical analyses and underscore the efficacy of the considered scheme by verifying using Monte Carlo simulations.