title: Probabilistic dynamic deployment of wireless sensor networks by artificial bee colony algorithm.
abstract: As the usage and development of wireless sensor networks are increasing, the problems related to these networks are being realized. Dynamic deployment is one of the main topics that directly affect the performance of the wireless sensor networks. In this paper, the artificial bee colony algorithm is applied to the dynamic deployment of stationary and mobile sensor networks to achieve better performance by trying to increase the coverage area of the network. A probabilistic detection model is considered to obtain more realistic results while computing the effectively covered area. Performance of the algorithm is compared with that of the particle swarm optimization algorithm, which is also a swarm based optimization technique and formerly used in wireless sensor network deployment. Results show artificial bee colony algorithm can be preferable in the dynamic deployment of wireless sensor networks.
authors.affiliation: Computer Engineering Department, Engineering Faculty, Erciyes University, Kayseri, Turkey. celal@erciyes.edu.tr
authors.forename: Celal
authors.initials: C
authors.lastname: Ozturk
authors.forename: Dervis
authors.initials: D
authors.lastname: Karaboga
authors.forename: Beyza
authors.initials: B
authors.lastname: Gorkemli
mesh_terms: D000465:Algorithms; D000818:Animals; D001516:Bees / Q000502:physiology*; D001522:Behavior, Animal; D003195:Computer Communication Networks; D003198:Computer Simulation; D004867:Equipment Design; D015233:Models, Statistical; D008962:Models, Theoretical; D011336:Probability; D011381:Programming Languages; D013997:Time Factors; D059015:Wireless Technology