A self-adaptive clustering based algorithm for increased energy-efficiency and scalability in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) represent a new dimension in the field of networking. The collaboration of large numbers of networked sensors will revolutionize the multitude of applications where WSNs can be applied, in the near future. In this paper we suggest a self-adaptive clustering based scheme for WSNs. A dynamic clustering scheme for the self-configuration of nodes in the WSN is discussed. We also outline a self-adapting algorithm for optimizing the sleep times of the nodes in the cluster by adapting to varying traffic loads. Our discussion aims to produce a reliable and robust sensing network, that promises more energy saving, scalability, and increased lifetime for the WSN. We do not base our discussion in this paper on any specific application, and expect our scheme to hold for all generic applications where WSNs can be used.