Probabilistic dynamic deployment of wireless sensor networks by artificial bee colony algorithm.
Probabilistic dynamic deployment of wireless sensor networks by artificial bee colony algorithm.
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DOI：
10.3390/s110606056
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Gorkemli B
中科院分区：
文献类型：
--
作者：
Ozturk C;Karaboga D;Gorkemli B
随着无线传感器网络的使用和发展，与这些网络相关的问题也逐渐被认识到。动态部署是直接影响无线传感器网络性能的主要问题之一。本文将人工蜂群算法应用于固定和移动的传感器网络的动态部署中，通过尝试增加网络的覆盖区域来达到更好的性能。一个概率检测模型被认为是获得更真实的结果，同时计算有效覆盖面积。将该算法的性能与粒子群优化算法进行了比较，粒子群优化算法也是一种基于群的优化技术，以前用于无线传感器网络部署。结果表明，人工蜂群算法在无线传感器网络的动态部署中具有较好的应用前景。
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.
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影响因子：
1.8
作者：
Karaboga, Dervis;Basturk, Bahriye
通讯作者：
Basturk, Bahriye
影响因子：
4
作者：
Qi, Guang-ping;Song, Ping;Li, Ke-jie
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Li, Ke-jie
影响因子：
8.7
作者：
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3.9
作者：
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5.6
作者：
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通讯作者：
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