{"title":"Trilateration method based node localization and energy efficient routing using rsa for under water wireless sensor network","authors":"A. Shenbagharaman , B. Paramasivan","doi":"10.1016/j.suscom.2023.100952","DOIUrl":null,"url":null,"abstract":"<div><p><span>UWSN<span><span><span> refers to a collection of numerous underwater wireless sensor-nodes dispersed throughout the marine environment. Proposed work develops node-localization and optimal relay node selection based routing approach for UWSN. </span>Target nodes initially listen to the beacon for a certain amount of time whenever they are within range of an </span>anchor node before retrieving an anchor-node with RSS data. Next, the </span></span>Euclidean distance<span><span><span> between a target node and an anchor node is determined. After that, another two anchor nodes were placed within the transmission range. The suggested approach then uses modified COOT-optimization to determine the target sensor node's<span> coordinates in an effort to reduce localization-error. After that, the process of uneven clustering and selecting the cluster heads was done. For identifying the ideal relay node, the proposed technique employs a parameter-based approach to CH discovery, particularly RSO. Finally, using an information fusion technique, the sensing information is sent through relay nodes. Proposed </span></span>localization<span> and routing algorithm<span> is validated using some of the parameter which achieves better performance like 94% localization accuracy, 6% </span></span></span>localization error<span>, 2.4% throughput value and 81% packet delivery ratio. It performs better when compared to other existing approaches such as DEEC, SEP, ELEACH and LEACH whose localization accuracy are 93%, 84%, 80% and 78%. Thus the techniques utilized in this proposed approach are the best choice for node localization and routing in UWSN.</span></span></p></div>","PeriodicalId":48686,"journal":{"name":"Sustainable Computing-Informatics & Systems","volume":"41 ","pages":"Article 100952"},"PeriodicalIF":3.8000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Computing-Informatics & Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210537923001075","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
UWSN refers to a collection of numerous underwater wireless sensor-nodes dispersed throughout the marine environment. Proposed work develops node-localization and optimal relay node selection based routing approach for UWSN. Target nodes initially listen to the beacon for a certain amount of time whenever they are within range of an anchor node before retrieving an anchor-node with RSS data. Next, the Euclidean distance between a target node and an anchor node is determined. After that, another two anchor nodes were placed within the transmission range. The suggested approach then uses modified COOT-optimization to determine the target sensor node's coordinates in an effort to reduce localization-error. After that, the process of uneven clustering and selecting the cluster heads was done. For identifying the ideal relay node, the proposed technique employs a parameter-based approach to CH discovery, particularly RSO. Finally, using an information fusion technique, the sensing information is sent through relay nodes. Proposed localization and routing algorithm is validated using some of the parameter which achieves better performance like 94% localization accuracy, 6% localization error, 2.4% throughput value and 81% packet delivery ratio. It performs better when compared to other existing approaches such as DEEC, SEP, ELEACH and LEACH whose localization accuracy are 93%, 84%, 80% and 78%. Thus the techniques utilized in this proposed approach are the best choice for node localization and routing in UWSN.
期刊介绍:
Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.