Energy Harvesting for Throughput Enhancement of Cooperative Wireless Sensor Networks

Abstract

We consider an energy harvesting for cooperative wireless sensor networks with a nonlinear power consumption model. The information transmission from the source node to the destination node is assumed to occur via several clusters of decode-andforward relay nodes. We assume that all the source and relay nodes have the ability to harvest energy from the environment and use that harvested energy to transmit and forward the information to the next hop. Under such assumption, the objective of our design is to improve the total throughput of the end-to-end link over a number of transmission blocks subject to constraints on energy causality, battery overflow, and time duration for energy harvesting. The optimization problem is found to be a nonconvex maximin fractional program, which is difficult to solve in general. We present an efficient iterative algorithm to solve the optimization problem. Specifically, by introducing novel transformations, we apply an approximate convex technique to obtain a convex problem at each iteration. We then propose an iterative power allocation algorithm which converges to a locally optimal solution at a Karush-Kuhn-Tucker point. Numerical results are provided to evaluate the proposed scheme.

Performance analysis of the clustering-based multihop wireless energy harvesting sensor networks over symmetric and asymmetric fading channels

“…Note that q k (') can be found in the same manner as that of the Rician case again with F h (x) of equation ( 16) replaced by equation (23).…”

“…To the best of our knowledge, an analysis in terms of the outage probability, effective transmission rate, and the throughput of the clustering-based multihop relaying with EH relays under the scenario of WIPT has not been reported in the literature. A closely related system model is studied in Nguyen et al, 23 where the throughput of a wireless sensor network with EH nodes in the framework of clustering-based DF relaying is analyzed under the assumption that the EH nodes can harvest energy from the surrounding environment, whereas in this work, EH nodes can harvest energy only through the signal transmitted by the information source.…”

Buffer-aided relaying scheme with energy harvesting in a cognitive wireless sensor network

“…1,2 In a WSN, energy efficiency is crucial because it determines the network lifetime. As such, multihop transmissions using wireless relays have been accepted as a powerful means to improve the energy efficiency of the WSNs.…”

“…Wireless sensor networks (WSNs) are considered key enablers for the Internet of Things (IoT), and these are employed over a wide range of use cases, including building management, transportation and logistics, health care, and smart grids. 1,2 In a WSN, energy efficiency is crucial because it determines the network lifetime. As such, multihop transmissions using wireless relays have been accepted as a powerful means to improve the energy efficiency of the WSNs.…”

“…Recently, wireless energy harvesting has emerged as a promising solution for sensors to obtain unlimited energy from their surrounding environment. 2 Apart from the conventional renewable energy sources, such as solar and wind energy, the radio frequency (RF) energy is a viable source for energy harvesting and it has been extensively studied in recent years. 3 For multihop transmission systems, in particular, two energy harvesting protocols, namely, time-switching relaying (TSR) and powersplitting relaying (PSR) protocols, were proposed in Nasir et al 4 However, the concept of a cognitive radio can be incorporated into WSNs to circumvent the limitations imposed by conventional WSNs operating in the unlicensed spectrum.…”