WSN plays a vital role in remote applications, especially during the rapid communication. The energy dissipation due to the occurrence of energy hole is an important reason for ineffective data transfer over WSN. The improper selection of cluster head greatly minimizes the network lifetime and the early expiry of sensor nodes. To overcome these issues, the ultimate goal of this paper is to develop an evolutionary energy hole alleviation along with significant cluster head selection (EEHA-CH) in two different stages. In the first stage, the area of the WSN is portioned into concentric circles and distributing the sensor nodes in a uniform random manner to avoid the void hole. The second stage involves in nominating the optimal cluster head with the knowledge of fuzzy inference system and genetic algorithm, especially in case of uncertainty the energy hole alleviation is done more prominently. The simulation results proved the performance of the proposed approach EEHA-CH is better than the existing protocols used for comparison.
Volume 11 | 10-Special Issue
Pages: 549-558
DOI: 10.5373/JARDCS/V11SP10/20192841