Multi-objective optimization in wireless sensors networks

In most wireless sensor network (WSN), energy is a limited resource. Indeed, a sensor has a limited power source (like a battery). When this power source is empty, the sensor stops working. In this paper, we will present the modeling of a multi-objective problem. The first objective is the maximizat...

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Bibliographic Details
Published inICM 2011 Proceeding pp. 1 - 4
Main Authors Le Berre, M., Hnaien, F., Snoussi, H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
Subjects
Biological cells
Equations
Genetic algorithms
Mathematical model
Minimization
Optimization
Wireless sensor networks
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Summary:In most wireless sensor network (WSN), energy is a limited resource. Indeed, a sensor has a limited power source (like a battery). When this power source is empty, the sensor stops working. In this paper, we will present the modeling of a multi-objective problem. The first objective is the maximization of the coverage of the area under time, the second objective is the maximization of the lifetime of the network depending on coverage, and finally the minimization of the financial cost (i.e. the number of sensors). The resolution of this problem will be done by multi-objective algorithm NSGA-II [6], SPEA-II [5] and multi-objective ant colony optimization (MOACO) [8].
ISBN:9781457722073
1457722070
ISSN:2159-1660
DOI:10.1109/ICM.2011.6177401