CFCLP-a novel Clustering Framework based on Combinatorial approach and Linear Programming in Wireless Sensor Network
Jyothi A. P, Usha Sakthivel · 2017
It is widely known that the process and performance of data aggregation in wireless sensor network is dependent on the effectiveness of clustering mechanism. However, existing research work towards clustering mechanism has been found to focus on selection on cluster-head majorly on the basis on energy. This is the prime reason for which the energy effectiveness has not completely been achieved in wireless sensor network. The present paper introduces a novel analytical modeling of CFCLP that leverages data aggregation by a novel combinatorial approach using linear programming for evolving up with a new clustering mechanism. A sophisticated mathematical modeling is used for designing and its algorithm being implemented on MEMSIC nodes to find that CFCLP is capable of maintaining good balance between energy saving performance and data delivery among the sensor nodes for longer iterations.