Energy harvesting wireless sensor networks (EH-WSNs) appear as the fundamental backbone of research that attempts to expand the lifespan and efficiency of sensor networks positioned in resource-constrained environments. This review paper provides an in-depth examination of latest developments in this area, highlighting the important components comprising routing protocols, energy management plans, cognitive radio applications, physical layer security (PLS), and EH approaches. Across a well-ordered investigation of these features, this article clarifies the notable developments in technology, highlights recent barriers, and inquires avenues for future revolution. This article starts by furnishing a detailed analysis of different energy harvesting methodologies, incorporating solar, thermal, kinetic, and radio frequency (RF) energy, and their respective efficacy in non-identical operational circumstances. It also inspects state-of-the-art energy management techniques aimed at optimizing energy consumption and storage to guarantee network operability. Moreover, the integration of cognitive radio into EH-WSNs is acutely assessed, highlighting its capacity to improve spectrum efficiency and tackle associated technological problems. The present work investigates ground-breaking methodologies in PLS that uses energy-harvesting measures to improve the data security. In this review article, these techniques are explored with respect to classical encryption and discussed from network security points of view as well.The assessment furthers criticizes traditional routing protocols and their significance in EH-WSNs as well as the balance that has long been sought between energy efficiency and security in this space. This paper closes with the importance of continuous research to tackle existing challenges and to leverage newly available means as highlighted in this document. In order to adequately serve the increasingly changing requirements of EH-WSNs, future research will and should be geared towards incorporating AI techniques with some advanced energy storage solutions. This paper discusses the integration of novel methodologies and interdisciplinary advancements for better performance, security, and sustainability for WSNs.

Energy harvesting wireless sensor networks (EH-WSNs) appear as the fundamental backbone of research that attempts to expand the lifespan and efficiency of sensor networks positioned in resource-constrained environments. This review paper provides a in-depth examination of latest developments in this area, highlighting the important components comprising routing protocols, energy management plans, cognitive radio applications, physical layer security (PLS), and EH approaches. Across a well-ordered investigation of these features, the article clarifies the notable developments in technology, highlights recent barriers, and inquires avenues for future revolution. The article starts by furnishing a detailed analysis of different energy harvesting methodologies, incorporating solar, thermal, kinetic, and radio frequency (RF) energy, and their respective efficacy in non-identical operational circumstances. It also inspects state-of-the-art energy management techniques aimed at optimizing energy consumption and storage to guarantee network operability. Moreover, the integration of cognitive radio into EH-WSNs is acutely assessed, highlighting its capacity to improve spectrum efficiency and tackle associated technological problems. The present work investigates ground-breaking methodologies in Physical Layer Security (PLS) that uses energy harvesting measures to improve the data security. In this review article, these techniques are explored with respect to classical encryption and discussed its as well the network security points of view. The assessment furthers criticizes traditional routing protocols and their significance in Energy Harvesting Wireless Sensor Networks (EH-WSNs) as well as the balance that has long been sought between energy efficiency and security in this space. The paper closes with the importance of continuous research to tackle existing challenges and to leverage newly available means as highlighted in this document. In order to adequately serve the increasingly changing requirements of EH-WSNs, future research will and should, be geared towards incorporating AI techniques with some advanced energy storage solutions. This paper discusses the integration of novel methodologies and interdisciplinary advancements for better performance, security and sustainability for WSNs.

Cooperative energy harvesting wireless sensor networks (EH-WSNs) using energy-harvesting-based physical layer security (PLS) appears to be a promising way to meet information security and energy efficiency goals at the same time. PLS uses energy harvesting (EH) features to protect data while transmitting. This eliminates the need for traditional upper-layer data encryption. However, this method introduces new challenges, particularly in scenarios where potential adversaries can intercept sensitive information through network relays. When it comes to multihop, multipath cooperative EH-WSNs, it becomes even more complicated to optimize transmit power for EH while reducing eavesdropping risk. In this study, three routing protocols, direct route designation (DRD), casual route designation (CRD), and superlative route designation (SRD) are presented. The protocols will improve multihop, multipath cooperative EH-WSNs’ security in the presence of eavesdroppers as well as noises at the transceiver. In this framework, both source nodes and relay nodes use power-beaming techniques to make their data transmission operations easier. This study goes beyond the protocol recommendations by presenting comprehensive closed-form formulas and asymptotic outage probability analysis for each protocol under various eavesdropping attack scenarios, i.e., coordination and noncoordination of eavesdroppers. According to simulation data, the suggested SRD protocol outperforms the CRD and DRD protocols by 19% and 25%, respectively, when eavesdroppers are not coordinating. The suggested SRD protocol outperforms the CRD and DRD protocols by 28% and 32%, respectively, in terms of eavesdropper coordination.

Over the past two decades, numerous research projects have concentrated on cognitive radio wireless sensor networks (CR-WSNs) and their benefits. To tackle the problem of energy and spectrum shortfall in CR-WSNs, this research proposes an underpinning decode-&-forward (DF) relaying technique. Using the suggested time-slot architecture (TSA), this technique harvests energy from a multi-antenna power beam (PB) and delivers source information to the target utilizing energy-constrained secondary source and relay nodes. The study considers three proposed relay selection schemes: enhanced hybrid partial relay selection (E-HPRS), conventional opportunistic relay selection (C-ORS), and leading opportunistic relay selection (L-ORS). We present evidence for the sustainability of the suggested methods by examining the outage probability (OP) and throughput (TPT) under multiple primary users (PUs). These systems leverage time switching (TS) receiver design to increase end-to-end performance while taking into account the maximum interference constraint and transceiver hardware inadequacies. In order to assess the efficacy of the proposed methods, we derive the exact and asymptotic closed-form equations for OP and TPT & develop an understanding to learn how they affect the overall performance all across the Rayleigh fading channel. The results show that OP of the L-ORS protocol is 16% better than C-ORS and 75% better than E-HPRS in terms of transmitting SNR. The OP of L-ORS is 30% better than C-ORS and 55% better than E-HPRS in terms of hardware inadequacies at the destination. The L-ORS technique outperforms C-ORS and E-HPRS in terms of TPT by 4% and 11%, respectively.