S. Harihara Gopalan , Dattatray G. Takale , B. Jayaprakash , Vivek Pandiya Raj
{"title":"An energy efficient routing protocol with fuzzy neural networks in wireless sensor network","authors":"S. Harihara Gopalan , Dattatray G. Takale , B. Jayaprakash , Vivek Pandiya Raj","doi":"10.1016/j.asej.2024.102979","DOIUrl":null,"url":null,"abstract":"<div><p>The extension of wireless sensor network (WSN) lifetime and reduction of power consumption are now important objectives in sensor network research. Energy-efficient communication networks are required when using a WSN. WSNs are additionally constrained in terms of energy by clustering, storage, communication capacity, high configuration complexity, low communication speed, and limited computing. Furthermore, choosing a cluster head is still difficult when minimizing WSN energy. In this study, the Bacterial Foraging Optimization with Harmony Search Algorithm (BFO-HSA) is used to cluster sensor nodes (SNs). Eliminating latency, reducing distance, and stabilizing energy consumption are the main goals of research in order to maximize the choice of cluster heads. In WSNs, maximizing the use of energy resources is a crucial issue due to these limitations. The quickest path is found dynamically by decreasing network overhead through the use of a cross-layer-based opportunistic routing protocol (CORP). PDR, packet latency, throughput, power consumption, network lifetime, packet loss rate, and error estimation are all assessed using the suggested method; the outcomes outperformed those of previous approaches. Results for quality-of-service parameters include PDR (98.5 %), packet latency (0.019 s), throughput (0.98 Mbps), power consumption (9.75 mJ), network lifespan (5250 cycles), and PLR (1.5 %) for 100 nodes.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"15 10","pages":"Article 102979"},"PeriodicalIF":6.0000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S209044792400354X/pdfft?md5=1df64fcaa34f789e210830a70b9dcbe9&pid=1-s2.0-S209044792400354X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209044792400354X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The extension of wireless sensor network (WSN) lifetime and reduction of power consumption are now important objectives in sensor network research. Energy-efficient communication networks are required when using a WSN. WSNs are additionally constrained in terms of energy by clustering, storage, communication capacity, high configuration complexity, low communication speed, and limited computing. Furthermore, choosing a cluster head is still difficult when minimizing WSN energy. In this study, the Bacterial Foraging Optimization with Harmony Search Algorithm (BFO-HSA) is used to cluster sensor nodes (SNs). Eliminating latency, reducing distance, and stabilizing energy consumption are the main goals of research in order to maximize the choice of cluster heads. In WSNs, maximizing the use of energy resources is a crucial issue due to these limitations. The quickest path is found dynamically by decreasing network overhead through the use of a cross-layer-based opportunistic routing protocol (CORP). PDR, packet latency, throughput, power consumption, network lifetime, packet loss rate, and error estimation are all assessed using the suggested method; the outcomes outperformed those of previous approaches. Results for quality-of-service parameters include PDR (98.5 %), packet latency (0.019 s), throughput (0.98 Mbps), power consumption (9.75 mJ), network lifespan (5250 cycles), and PLR (1.5 %) for 100 nodes.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.