Mahboubi Hamid, Aghdam Amir G, Sayrafian-Pour Kamran
Department of Electrical & Computer Engineering, McGill University, 845 Rue Sherbrooke O, Montréal, Québec H3A 0G4 Canada.
Department of Electrical & Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. W., EV012.179, Montréal, Québec H3G 1M8 Canada.
IEEE Trans Industr Inform. 2016;12(2). doi: 10.1109/tii.2016.2521710.
Mobile sensor networking technology has attracted considerable attention in various research communities in recent years due to their widespread applications in civilian and military environments. One objective when using mobile sensors is to obtain maximum field coverage by properly deploying sensor nodes. In many real-world applications a priori knowledge about the best deployment position for the sensors is not available. However, the motion capability of the sensors could allow each node to adjust its position (i.e. relocate) so that a better (and ultimately maximal) coverage is achieved. In this paper, a novel autonomous joint sensing range and relocation control algorithm is presented that achieves improved coverage and network lifetime at the same time. In the proposed algorithm, the sensing range of each sensor is adjusted iteratively based on its residual energy. At the same time, the sensor is directed to move within its corresponding multiplicatively weighted Voronoi (MW-Voronoi) region to ultimately increase sensing coverage in the field. Simulation results demonstrate the efficacy of the technique.
近年来，移动传感器网络技术因其在民用和军事环境中的广泛应用而在各个研究领域引起了相当大的关注。使用移动传感器的一个目标是通过合理部署传感器节点来获得最大的区域覆盖。在许多实际应用中，关于传感器最佳部署位置的先验知识是不可用的。然而，传感器的移动能力可以使每个节点调整其位置（即重新定位），从而实现更好（最终达到最大）的覆盖。本文提出了一种新颖的自主联合感知范围和重新定位控制算法，该算法同时实现了更好的覆盖和网络寿命。在所提出的算法中，每个传感器的感知范围根据其剩余能量进行迭代调整。同时，引导传感器在其相应的乘性加权Voronoi（MW-Voronoi）区域内移动，以最终增加该区域的感知覆盖。仿真结果证明了该技术的有效性。
