A STUDY OF LOCALIZED ALGORITHM FOR SELF-ORGANIZED WIRELESS SENSOR NETWORK AND ITªS IMPLEMENTATION

Arnab Kundu

Abstract: Communication between two nodes is a big issue in now days. To achieve that, wireless network plays a big role. With limited source of energy, memory & computation power wireless sensor networks can be composed by mass number of sensor nodes. Where the sensors’ lifetime depend on energies. Like autonomous system in LAN, cluster can be defined for wireless sensor network, where cluster head plays the prime role for the energy conservation. So, the optimization of cluster head within cluster along with number of nodes is a big research issue. Here I have analyzed the advanced optimization algorithm for sensor network clustering theoretically. I have tried to test the proposed method as a clustering algorithm and compared it with other recent sensor network clustering algorithm named Algorithm for Cluster Establishment (ACE)

Keywords: ACE; Data sets; Localized algorithm; Migration; Spawning threshold function

DOI: https://doi.org/10.15623/ijret.2013.0204015