Engin, Efekan Zafer

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https://gcris.yasar.edu.tr/handle/123456789/12611
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Efekan Zafer Engin
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Araş.Gör.
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01.01.09.07. Yazılım Mühendisliği Bölümü
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Current Staff
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58734166400
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2023 Innovations in Intelligent Systems and Applications Conference ASYU 20231
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    Citation - Scopus: 1
    Optimizing Wireless Sensor Network Deployment with Hybrid Genetic Algorithm
    (Institute of Electrical and Electronics Engineers Inc., 2023) Dogukan Teber; Efekan Zafer Engin; Dindar Öz; Engin, Efekan Zafer; Teber, Dogukan; Oz, Dindar
    Wireless Sensor Networks (WSNs) have vital applications in diverse domains including military environmental monitoring disaster management and security systems. Achieving both m-connectivity and k-coverage is critical for ensuring network reliability and effective area monitoring. In this study we propose a Hybrid Genetic Algorithm for Wireless Sensor Network deployment (HGA-WSN) that combines genetic algorithms with problem-specific local search to efficiently explore solutions. The paper compares HGA-WSN against a standard genetic algorithm a greedy heuristic and a standard simulated annealing implementation. The experiments encompass various problem instances considering different $\mathrm{m}\mathrm{k}$ and target count values. The results validate HGA-WSN's superior performance in terms of sensor count reduction. The algorithm's efficacy in optimizing WSN deployment across diverse applications is evident from its rapid convergence and enhanced connectivity and coverage achievements. © 2023 Elsevier B.V. All rights reserved.