An Interactive Genetic Algorithm for Mobile Sensor Networks | Zendy

Ali Norouzi | Zendy; Faezeh Sadat Babamir | Zendy; Abdül Halim Zaim | Zendy

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An Interactive Genetic Algorithm for Mobile Sensor Networks

Author(s) -

Ali Norouzi,

Faezeh Sadat Babamir,

Abdül Halim Zaim

Publication year - 2013

Publication title -

studies in informatics and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.321

H-Index - 22

eISSN - 1841-429X

pISSN - 1220-1766

DOI - 10.24846/v22i2y201311

Subject(s) - computer science , fitness function , node (physics) , genetic algorithm , wireless sensor network , energy consumption , function (biology) , real time computing , energy (signal processing) , algorithm , distributed computing , computer network , machine learning , ecology , statistics , mathematics , structural engineering , evolutionary biology , engineering , biology

In this paper, we describe an interactive approach to design mobile sensor networks. The node-mobility aspect requires an online or interactive algorithm to determine the optimal network-coverage solution for a given area of interest. Hence, we develop a real-time genetic algorithm to find the suitable direction of node locomotion, considering either coverage of the target area or estimation of the optimum energy consumption. The main purpose is to provide a solution that can extend the network lifetime. The simulation results indicate that the proposed fitness function achieves our objectives.

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