Abstract
This paper presents optimization of router deployment based on genetic algorithm for energy-constrained wireless sensor networks which are used for wildfire monitoring. The router positions are optimized so that the total communication distance is minimized to maximize the lifetime of the sensor network. To consider the real geographical features of the target field, the elevation differences are included in fitness evaluation. It is shown that one can reduce the total communication distance as well as the number of disconnected sensors for both flat and irregular terrains using the present optimization method.
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Teguh, R., Murakami, R., Igarashi, H. (2014). Optimization of Router Deployment for Sensor Networks Using Genetic Algorithm. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8467. Springer, Cham. https://doi.org/10.1007/978-3-319-07173-2_40
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DOI: https://doi.org/10.1007/978-3-319-07173-2_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07172-5
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