An Improved DV-Hop Wireless Sensor Network Localization Algorithm

ABSTRACT

The positioning accuracy is not high for the range-free localization algorithm DV-Hop in wireless sensor networks and the Particle Swarm Optimization algorithm is proposed to optimize the positioning accuracy of the DV-Hop and the IDV-Hop localization algorithm is also proposed. Firstly, the IDV-Hop utilizes DV-Hop to estimate the measuring distances between nodes to be positioned and the beacon node, then the Particle Swarm Optimization algorithm is used to maximize the IDV-Hop fitness function to obtain the location coordinates of each node to be positioned. Simulation results show that, compared to the DV-Hop algorithm and GADV-Hop algorithm, IDV-Hop algorithm provides higher positioning and can meet the requirements of most wireless sensor network applications.

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