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Abstract
The thesis proposes a new bio-mimetic meta-heuristic soft-computing optimization model for WSNs. It employs the modeling of single objective and multi-objective functions. Firstly, it introduces the main idea of the LEACH algorithm. Secondly, it proposes a WSN`s lifetime optimization model based on bat swarm optimization algorithm. Thirdly, it introduces a WSN`s lifetime optimization model based on flower pollination optimization algorithm. Lastly, contribution of the proposed research model takes place by explaining the WSN`s coverage and energy optimization model based on multi-objective bat swarm optimization algorithm