A review on the implementation of multiobjective algorithms in wireless sensor network

Wireless sensor networks have various contradictory requirements like other types of networks. Network lifetime, cost, coverage, connectivity and delivery latency are the major requirements in these networks. Along with these requirements, limited computational and power resources and low communication capabilities are also hardening the problem to be solved. One of the ways of providing the required parameters for WSNs is exploiting the deployment methods. In this paper different Multi-Objective Evolutionary Algorithms and their usage for optimizing WSN deployment are investigated and a review of existing solutions is presented. Besides, various objectives are considered and the optimization problem formulation is studied. Lastly, existing simulation environments used for evaluating such solutions are discussed