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
