Abstract
The lifetime of a wireless sensor network is dependent on the type of sensor deployment. If the application permits deterministic deployment of nodes and if the sensor nodes are limited, quality of sensing and energy conservation can be enhanced by restricting the sensing range requirement. This paper addresses deterministic deployment of nodes for probabilistic target Q-coverage. A probabilistic coverage model considers the effect of distance and medium on the sensing ability of a node. We use Artificial Bee Colony (ABC) algorithm to compute the optimal deployment of sensor nodes such that the required sensing range is minimum for probabilistic target Q-coverage.
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Mini, S., Udgata, S.K., Sabat, S.L. (2013). Artificial Bee Colony Algorithm for Probabilistic Target Q-coverage in Wireless Sensor Networks. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_40
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DOI: https://doi.org/10.1007/978-3-319-03753-0_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03752-3
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