Optimization of immune particle swarm algorithm and application on wireless sensor networks

Jiang Fei

Laboratory of Intelligent Information Processing, Suzhou University, Suzhou 234000, China

School of Information Engineering, Suzhou University, Suzhou 234000, China

As a new network technology, wireless sensor network (WSN) have been applied to military, intelligent transportation, environmental monitoring and other fields. Localization is one of the important support technologies of Wireless Sensor Networks. Location information is important to network monitoring. It is meaningless, if there is no location information. We need to adopt a certain mechanism and algorithm to implement the localization of Wireless Sensor Networks. Based on the analysis of the features of Wireless Sensor Networks on range-free positioning algorithm and DV-Hop positioning algorithm error sources, this paper focuses on the improvement research on DV-Hop positioning algorithm. Inspired by biological immune system and mechanism, this paper introduces the immune information processing mechanisms in the immune system to the particle swarm optimization algorithm and thus gets an immune particle swarm optimization (IPSO) algorithm. By applying into the running of DV-Hop positioning algorithm, the paper proposes a DV-Hop improved algorithm, which is, the WSN positioning algorithm based on IPSO algorithm. Simulation experiments show that the improved algorithm can significantly reduce positioning errors to improve positioning accuracy.