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The robust application of wireless sensor networks has increased during thepast decade due to the potential use of wireless nodes in transmission ofinformation by decreasing latency for surveillance and monitoring. The studyproposes an Energy Efficient Dynamic Scenario (EEDS) for cluster headallocation for optimum balance in the energy consumption of the whole networkthat will prolong the lifetime of the network in an efficient manner. In thispaper, a two-level fuzzy logic is proposed in choosing cluster head based onnode localization and network traffic. In the upper decision making levelcalled global level of qualification leads to better performance of theinference system based on all the above six fuzzy parameters for establishingan energy efficient network model. We develop an algorithm to calculate energyacross the network if the source and destination is known. We evaluate the costand benefit of the data fusion, in order to adaptively adjust whether fusionshall be performed for minimizing the total energy consumption when energyefficient node scheduling migrates from a particular node to another node.Simulation results show that EEDS gives the best performance with respect tonetwork life time density and residual energy of the node.

Impact of two-level fuzzy cluster head selection model for wireless sensor network: An Energy efficient approach in remote monitoring scenarios