• Manjeet kaur
• Sandeep kaur

Wireless sensor network detects the physical world whether it is temperature, weight, dampness and some other condition exercises. Wireless sensor network incorporates sensors nodes and a base station (sink) and there are such huge numbers of sensors which make a network. This clustering component is utilized as a part of request to aggregate the nodes having least separation from base station. In this paper existing approach without fuzzy and proposed system are heterogeneous conventions appears. Both the conventions are sufficiently efficient yet do not consider the energy scattering amid the cluster head determination stage. In this paper the hybrid algorithm based on ACO and ANT+BEE along with artificial neural network is proposed. In the event that cluster head choice stage is dynamic at that point beginning energy doled out to the nodes are reestablished. This system guarantees that the lifetime of the network is rationed and more through puts are accomplished. The parameters considers for assessment are parcel to cluster head, bundles to base station, dead nodes and alive nodes.

WSN, ANN, Cluster head selection

"Enhanced evolutionary fuzzy based approach for minimizing energy consumption in WSN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.110-119, March-2019, Available :http://www.jetir.org/papers/JETIR1903121.pdf

"Enhanced evolutionary fuzzy based approach for minimizing energy consumption in WSN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp110-119, March-2019, Available at : http://www.jetir.org/papers/JETIR1903121.pdf