Wireless Sensor Networks (WSNs) are utilized broadly in numerous mission basic applications like war zone observation, natural checking, woods fire observing and so on A ton of exploration is being finished to decrease the energy utilization, improve the organization lifetime and adaptation to internal failure ability of WSNs. In this paper, we propose an energy mindful directing calculation for group based WSNs alongside an ANFIS assessor-based information conglomeration plot called Neuro-Fuzzy Improvement Model (ANFIS-NFO) for the plan of shortcoming open minded. The calculation depends on a sharp technique of group head (CH) choice, remaining energy of the CHs and the intra-group distance for group development. To work with information steering, a coordinated virtual spine of CHs is built which is established at the sink. The proposed calculation is additionally displayed to adjust energy utilization of the CHs during information directing cycle. We demonstrate that the calculation accomplishes consistent message and straight time intricacy and they favorable to effectively recognize the flawed CHs by the use of the proposed ANFIS assessor and perform between group shortcoming open minded information accumulation..
Keywords: Wireless Sensor Networks, Neuro-Fuzzy Optimization Model, Fault Tolerant, ANFIS