Minimum Energy with Desired Reliable Data Fusion in Wireless Sensor Networks

This paper presents an in depth analysis of the variation of the state of art methods ( PEGASIS, HEED protocol ) which tackle the dilemma of maintaining both area coverage and network connectivity under energy constraint and optimal data fusion among the sensor nodes in Wireless Sensor Network. In order to ensure the energy competence restraint among all the sensor nodes , construct a cluster based topology in which cluster head election and cluster formation are very important issues that deeply affect network lifetime of Wireless Sensor Network. The proposed work maximize the network lifetime by dynamically designate the set of cluster heads according to their residual energies, their distance to their neighboring non- cluster head active nodes, and their position within the graph formed by cluster heads. Consequently energy dissipation among all the sensor nodes can be controlled by the exploitation of the data fusion tree which connect all the cluster heads and construct distance reliant probabilistic event detection, where the probability that a sensor detects an event is function of the distance of that sensor from the event. After the deployment of the clustering architecture ensuring maximum network lifetime and energy efficiency, implement a Minimum Energy Reliable Information Gathering (MERIG) when performing data fusion. By adaptively using redundant transmission on fusion routes without acknowledgements, packets with more information are delivered with higher reliability. Simulation results show that energy efficient information reliability can be guaranteed in an reliable wireless environment with the use of the proposed schemes.