LUCA: An Energy-efficient Unequal Clustering Algorithm Using Location Information for Wireless Sensor Networks

摘要: Over the last several years, various clustering algorithms for wireless sensor networks have been proposed to prolong network lifetime. Most provide an equal cluster size using node's ID, degree and etc. However, many of these heuristically determine size, even though significantly affects energy consumption entire network. In this paper, we present a theoretical model propose simple algorithm called Location-based Unequal Clustering Algorithm (LUCA), where each has different based on its location information which is distance between head sink. LUCA, in order minimize network, larger as increasing from Simulation results show that LUCA achieves better performance than conventional efficiency.