An improved PSO-based method in hybrid WSNs using nodes density

Qi Zhang, Weiqing Qu
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Abstract

Constructing a hybrid sensor network with a mixture of mobile sensors and static sensors can achieve a balance between sensor coverage and sensor cost. In this paper, we propose an improved PSO-based method to guide the movement of mobile sensors in hybrid networks. In this paper, static and mobile sensors detect coverage holes locally and use the density and distance as parameter to drive the mobile sensors to move. Simulation results show that the method achieve suitable trade-off between coverage and sensor cost.
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基于节点密度的混合WSNs改进pso方法
构建由移动传感器和静态传感器组成的混合传感器网络,可以实现传感器覆盖和传感器成本的平衡。在本文中,我们提出了一种改进的基于粒子群算法的方法来指导混合网络中移动传感器的运动。本文采用静态和移动传感器局部检测覆盖孔,并以密度和距离为参数驱动移动传感器移动。仿真结果表明,该方法实现了覆盖和传感器成本之间的合理权衡。
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