Optimization of Power Allocation Based on Particle Swarm Optimization in Wireless Location Network

Wireless location network combines data communication, contextual data collection and navigation. The purpose of this network is to determine the positions of agents based on measurements between nodes and nodes. In order to improve the positioning accuracy of wireless location network, the usual method is to increase the density of nodes, especially the density of anchor nodes, so as to optimize the topology of the network. However, the wireless location network node power is limited, especially the wireless sensor network. It is necessary to increase power consumption to meet the needs of a large number of nodes. However, it is required that a certain level of power consumption should be set in the wireless location network, and even require further reduction in power consumption in daily life. At the same time, we need to maintain a certain positioning accuracy, which requires the optimization of power allocation in the network, to make sure that power and positioning accuracy of the network can meet the needs of the actual living. In this paper, an optimization of power allocation based on particle swarm optimization in wireless location network is proposed to optimize the power allocation. The square position error bound is introduced as the evaluation standard of the network positioning accuracy. Through the power optimization, the positioning accuracy of the network is improved.