Coverage Optimization in Wireless Sensor Networks Using Memetic Algorithm

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dc.contributor.authorChaima, Bougoutaia
dc.contributor.authorTakoua, Khelifi
dc.contributor.authorSupervisor: Raouf Ouanis, Lakehal Ayat
dc.date.accessioned2025-07-07T14:25:32Z
dc.date.available2025-07-07T14:25:32Z
dc.date.issued2025-06-15
dc.description.abstractThis dissertation addresses the coverage optimization problem in Wireless Sensor Networks (WSNs), a critical factor affecting network efficiency and sustainability. A hybrid memetic algorithm is proposed, combining global and local search strategies to optimize sensor de ployment and reduce overlap while maintaining maximum coverage with minimal sensor us age. A precise mathematical model is formulated, and simulation experiments are conducted to evaluate the performance of the proposed approach. Results show significant improve ments in coverage quality and energy efficiency compared to conventional algorithms
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/46727
dc.language.isoen
dc.publisherMohamed Boudiaf University of M'sila
dc.subjectMemetic Algorithms
dc.subjectWireless Sensor Networks
dc.subjectCoverage Optimization
dc.titleCoverage Optimization in Wireless Sensor Networks Using Memetic Algorithm
dc.typeThesis

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