Aiming at the problem of low localization accuracy in Distance Vector-Hop (DV-Hop) algorithm, a localization algorithm based on adaptive PSO algorithm was proposed for wireless sensor networks. First of all, through single jumped average error correction average distance, and then using the average jump from receiving much of the anchor node estimate the distance between the nodes, to optimize estimated distance, the adaptive particle swarm optimization algorithm was used to optimize the position of the unknown node coordinates obtained by least square method, avoid APSO algorithm using adaptive operator algorithm trapped in local optimum, and get the global optimal. Simulation results show that the proposed algorithm is better than DV-Hop algorithm and PSO-DVHop algorithm in positioning accuracy under different anchor ratio, node number and communication radius.

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In order to solve the poor performance of location in RSSI localization Algorithm, caused by the link between anchor nodes and node to be positioning, this paper presents a positioning algorithm, which chooses anchor nodes based on Link quality Select strategy (LS) in a wireless sensor network. The method combines LS which plays a key role in localization with Weighted Centroid Localization Algorithm. The theoretical analysis and simulation results show that it raises the node ratio which can be located, and the accuracy of positioning can be well improved. Keywords-received signal strength indicator; weighted centroid localization algorithm; link quality; wireless sensor networks I.

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