Energy-Efficient Resource Allocation and Relay-Selection for Wireless Sensor Networks

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Abstract

We study a cooperative wireless network in the framework of this inquiry. This network is made up of two transceiver nodes that connect with one another through two-way amplify-and-forward (AF) relay nodes that have a limited amount of energy. This network is used to study the problem. The energy that is included inside the signal that has been received is used by the relay nodes in order to magnify the signal before it is retransmitted to the transceiver nodes. As a consequence of this, the transceiver nodes are able to transfer both information and energy at the same time. In order to accomplish simultaneous information extraction and energy harvesting at the relay, we study a time switching-based relaying (TSR) protocol in addition to a power splitting-based relaying (PSR) mechanism. TSR stands for time switching relaying, while PSR stands for power splitting relaying. By using the dual decomposition strategy, we are able to provide a solution to the problem that is close to optimal. The findings of the simulation indicate that the joint resource allocation plan that was recommended fulfils the required requirements for service quality, and that the degree of energy efficiency that may be achieved is greater than that of some projects that are currently being worked on. In addition, the resource allocation approach that has been provided works better in terms of convergence under a variety of topologies. This demonstrates the high scalability of the resource allocation system. The results of an in-depth simulation are presented to illustrate how well our proposed method works in terms of the distribution of transmitting power among the nodes and the overall utility that the network provides. As a consequence of this, there is reason to be positive about the future of practical applications including the joint optimization technique. © 2024, Ismail Saritas. All rights reserved.

Year of Publication
2024
Journal
International Journal of Intelligent Systems and Applications in Engineering
Volume
12
Issue
5s
Number of Pages
113-121,
Type of Article
Article
ISBN Number
21476799 (ISSN)
Publisher
Ismail Saritas
Journal Article
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