Wireless sensor network is still one of the widest research areas for the researchers, which is made of self-sufficient sensor nodes in a group called cluster to screen physical or ecological conditions of the environment. Energy utilization and routing are the central issues in remote sensor systems. Therefore, numerous conventions have been proposed to minimize the energy utilization of these sensor nodes. The fundamental objective of this exploration is to enhance the directing procedure. This paper presents evolutionary bacteria foraging optimization method, named as EBFO, which uses a fitness function to measure the combined energy of the all sensor nodes in the cluster to make sure overall energy of cluster lesser energy than combined energy. It provides better field placement and cluster head selection. The results show the improvement in the energy efficiency and routing process in WSN as compared to standard BFO.
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