Abstract: Wireless sensor networks are an emergent technology for monitoring physical world. The energy constriction of Wireless sensor networks requires energy (resource) saving and so elongating the network lifetime become the utmost imperative goalmouths of numerous routing conventions. Clustering is a strategic technique used to prolong the lifetime of a sensor network by plummeting energy consumption. This research work is taking traditional probabilistic clustering protocol concepts, also considering heterogeneity in wireless sensor network as an effective way to increase the network lifetime and stability. Many issues in Wireless Sensor Networks (WSNs) are formulated as multidimensional optimization problems, and approached through self-organizing concept and load balancing architecture. We are proposing a distributed energy and geographically dynamic clustering scheme with adaptive cluster formation process for efficient routing in wireless sensor network, to make an optimized cluster head selection process and adaptive cluster formation which depends upon current network conditions and resource status. Simulation results show that with this network designing the network lifetime and stability period increases extensively.

Keywords: Wireless sensor network, Energy efficient clustering, Adaptive Self-Organization, routing, Energy Distribution, Network density, Network Lifetime, Adaptive clustering.