Efficient Network Restoration Model in WSN Using Genetic Algorithm for XG Applications

Efficient Network Restoration Model in WSN Using Genetic Algorithm for XG Applications

dc.contributor.guide	Kohle, Surekha
dc.coverage.spatial
dc.creator.researcher	Patil, Vishal Bhagatrao
dc.date.accessioned	2025-04-11T04:49:45Z
dc.date.available	2025-04-11T04:49:45Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2018
dc.description.abstract	Wireless sensor networks WSNs play a vital role in diverse applications requiring efficient routing for reliable communication Cluster based routing ensures secure data transfer but faces challenges like traffic analysis node localization and scalability This research proposes innovative solutions including the fuzzy clustering based genetic evolutionary FCGE algorithm for optimized re localization the swarm genetic algorithm influenced cluster based routing protocol SG cluster RP for energy efficiency and the cluster based genetic routing protocol CGRP for scalability FCGE enhances localization accuracy SG cluster RP extends network lifetime and CGRP reduces latency Experimental results confirm their effectiveness in improving WSN performance ensuring adaptability and efficiency across various applications.
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/632772
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Mumbai
dc.publisher.university	Chhatrapati Shivaji Maharaj University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Engineering and Technology
dc.title	Efficient Network Restoration Model in WSN Using Genetic Algorithm for XG Applications
dc.title.alternative
dc.type.degree	Ph.D.