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Evolutionary-based Wireless Sensor Deployment for Target Coverage

Abstract : The sensor deployment problem consists in finding an optimal (or near-optimal) way of placing sensors in a given area in order to cover the whole space. However, sometimes it is not necessary to monitor the complete area; one may want to focus on some points considered as target. This leads to the target coverage problem. This problem includes two main processes: (1) placing sensors around the targets, (2) scheduling the activation time redundant sensors in order to lengthen the network lifetime. This paper proposes a multi-objective approach based on genetic algorithms that aims to simultaneously find good positions of sensor nodes and the maximum number of disjoint cover sets. A new chromosome (solution) encoding in which the genes contain both, the position and the identifier of sensor owning group is introduced. The efficiency of the proposed approach is assessed by a comparison with existing methods.
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Communication dans un congrès
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Contributeur : LE2I - université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : lundi 16 janvier 2017 - 14:18:58
Dernière modification le : vendredi 5 août 2022 - 14:54:00



Arouna Njoya,, Wahabou Abdou, Albert Dipanda, Emmanuel Tonye. Evolutionary-based Wireless Sensor Deployment for Target Coverage. 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), University of Bourgogne; University of Milan, Nov 2015, Bangkok, Thailand. pp. 739-745, ⟨10.1109/SITIS.2015.62⟩. ⟨hal-01436462⟩



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