A normalized residual energy clustering for wireless sensor networks

This paper contributes to recent improvements in energy-efficient clustering algorithms for static and homogeneous wireless sensor networks. We propose a modified algorithm, called NREC, which considers information on the locally normalized residual energy of sensor nodes. This information is weighted with the probabilistic threshold used in standard algorithms for periodic election of cluster heads. The performance of our solution is compared with that of previously proposed variants by detailed simulation. Reduction of energy consumed per bit of useful data is shown.