A particle swarm approach for uniform cluster distribution in data centric wireless sensor networks

This paper presents a scheme, in which the collaborative efforts of limited number of sensor nodes provide the social guidance for localization process to be used for uniform distribution of the clusters, over the network area. Utilizing the information provided in the form of gbest value and the direction for position update as social guidance, the sensor nodes localize them iteratively adjusting their position in the swarm, relying on the measurements obtained from RSSI. Utilizing this location information, sensor nodes assign them to different clusters. Results of the simulations carried out in NS-2, show that the proposed algorithm is capable of localizing the sensor nodes and has a great potential of uniform cluster distribution, provided RSS indicators give necessary support for distance estimation.