Optimization of self-directed target coverage in wireless multimedia sensor network.
Optimization of self-directed target coverage in wireless multimedia sensor network.
复制标题
无线多媒体传感器网络自定向目标覆盖优化
DOI：
10.1155/2014/416218
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发表时间：
2014
影响因子：
--
通讯作者：
Wang R
中科院分区：
文献类型：
--
作者：
Yang Y;Wang Y;Pi D;Wang R
无线多媒体传感器网络（WMSNs）中的视频和图像传感器具有定向视角和有限感知角度的特点。因此，传统传感器网络中采用圆形感知模型解决目标覆盖问题的方法不适用于WMSNs。基于提出的FoV感知模型和FoV圆盘模型，通过目标与传感器当前方位的偏转角和目标与传感器的距离来定义期望的多媒体传感器对目标的覆盖程度。针对单传感器单目标、多传感器单目标和单传感器多目标问题，分别提出了基于期望覆盖值的目标覆盖优化算法。选择传感器旋转的方向覆盖落在该传感器FoV盘中的每个目标作为候选方向，并利用遗传算法求解具有NP完全复杂性的多传感器多目标问题，从而得到覆盖网络中所有目标的近似最小传感器子集。仿真结果表明了该算法的性能以及目标数目对得到的子集的影响。
Video and image sensors in wireless multimedia sensor networks (WMSNs) have directed view and limited sensing angle. So the methods to solve target coverage problem for traditional sensor networks, which use circle sensing model, are not suitable for WMSNs. Based on the FoV (field of view) sensing model and FoV disk model proposed, how expected multimedia sensor covers the target is defined by the deflection angle between target and the sensor's current orientation and the distance between target and the sensor. Then target coverage optimization algorithms based on expected coverage value are presented for single-sensor single-target, multisensor single-target, and single-sensor multitargets problems distinguishingly. Selecting the orientation that sensor rotated to cover every target falling in the FoV disk of that sensor for candidate orientations and using genetic algorithm to multisensor multitargets problem, which has NP-complete complexity, then result in the approximated minimum subset of sensors which covers all the targets in networks. Simulation results show the algorithm's performance and the effect of number of targets on the resulting subset.
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影响因子：
6
作者：
Cardei, M;Wu, J
通讯作者：
Wu, J
使用遗传算法在定向传感器网络中基于优先级的目标覆盖
影响因子：
2.9
作者：
Wang, Jian;Niu, Changyong;Shen, Ruimin
通讯作者：
Shen, Ruimin
影响因子：
5.6
作者：
Tezcan, Nurcan;Wang, Wenye
通讯作者：
Wang, Wenye
影响因子：
5.6
作者：
Akyildiz, IF;Su, W;Cayirci, E
通讯作者：
Cayirci, E
影响因子：
2.5
作者：
Wan, Peng-Jun;Yi, Chih-Wei
通讯作者：
Yi, Chih-Wei