Received Signal Strength Indicator Node Localization Algorithm Based on Constraint Particle Swarm Optimization

Abstract: Because the received signal strength indicator (RSSI) value greatly changes, the direct use of RSSI value has more errors in the positioning process as the basis to calculate the position of anchornodes. This paper proposes a RSSI node localization algorithm based on constraint particle swarmoptimization (PSO-RSSI). In the algorithm, particle swarm optimization is used to select anchor nodes setwhich are near the unknown node. The algorithm takes an element in the set, and measure distancebetween it and the other elements in the set. Then, the maximum likelihood method is used to calculatethe coordinates. According to the difference between the calculated coordinates and the actual coordinatesof the anchor node, the obtain coordinate of unknown node is corrected. When all the elements in the set perform such operation, the statistical methods are used to determine the coordinates of the unknown node. The algorithm embodies all the reference points influence on positioning, corrects the error problemon a single reference node positioning in the past. The simulation results show that the effect of the PSORSSI algorithm is more excellent.
Keywords: constraint particle swarm optimization, wireless sensor network, RSSI algorithm, node localization
Author: Songhao Jia, Cai Yang
Journal Code: jptkomputergg150056

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