Ant colony based coverage optimization in wireless sensor networks

• Autorzy: Khoshrangbaf Mina , Akram Vahid Khalilpour , Challenger Moharram

Identyfikatory

DOI

10.15439/2022F177

• Konferencja: 17th Conference on Computer Science and Intelligence Systems
• Języki publikacji: EN

Abstrakty

EN

Maximizing the covered area of wireless sensor networks while keeping the connectivity between the nodes is one of the challenging tasks in wireless sensor networks deployments. In this paper we propose an ant colony-based method for the problem of sensor nodes deployment to maximize the coverage area. We model sensor locations as a graph and use an adapted ant colony optimization-based method to find the best places for each sensor node. To keep the connectivity of the sensor network, every sensor must be covered by the other sensors; this is a hard constraint that is applied to the cost function as a penalty. The proposed algorithm is evaluated with different number of sensor nodes and sensing ranges. The simulation results showed that increasing the number of iterations in the algorithm generates better coverage ratio with the same number of nodes.

Słowa kluczowe

EN

wireless sensor networks; node deployment; coverage maximization; ant colony optimization

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 32
• Strony: 155--159
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wykr.

Twórcy

autor

Khoshrangbaf Mina

• International Computer Institute Ege University Izmir, Turkey

autor

Akram Vahid Khalilpour

• International Computer Institute Ege University Izmir, Turkey

autor

Challenger Moharram

• Department of Computer Science, University of Antwerp and Flanders Make Antwerp, Belgium

Bibliografia

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• 5. Wang, Hui, et al. "A self-deployment algorithm for maintaining maximum coverage and connectivity in underwater acoustic sensor networks based on an ant colony optimization." Applied Sciences 9.7 (2019): 1479.
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• 12. Liu, Xuxun, and Desi He. "Ant colony optimization with greedy migration mechanism for node deployment in wireless sensor networks." Journal of Network and Computer Applications 39 (2014): 310-318.
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• 17. Fathima, K. Syed Ali, and K. Sindhanaiselvan. "Ant colony optimization based routing in wireless sensor networks." International Journal of Advanced Networking and Applications 4.4 (2013): 168.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).