Design of Energy Efficient WSN Using a Noble SMOWA Algorithm

In this paper, the establishment of efficient Wireless Sensor Network (WSN) networks has been projected to minimize consumption energy using a new Self-adaptive Multi-Objective Weighted Approach (SMOWA) algorithm for solving multi-objective problem. The Different WSN nodes deployment policies have proposed and applied in paper design an consumption. After that, cluster head each selected with help duty cycle. configuring networks, SMOWA algorithms developed obtain minimum networks. Energy minimization, as well amount day-saving, calculated different WSNs which configured through policies. major finding research is improve durability (i) applying strategies: (Random, S pattern nautilus shell pattern), (ii) Meta-heuristic (SMOWA Algorithm). research, lifetime increased significant level. To choose best result set from all obtained results some constraints such “equivalent distribution”, “number repetitions”, “maximum storage by node” allowable range.