Multi Objective Optimization in Wireless Sensor Network
The wireless sensor network is one of the most interesting research topics in the information technology domain. Among various challenges in WSN one of the important challenges is optimization in the presence of different conflicting objective. In this work different conflicting objective has discussed and it was Observed that network coverage, network connectivity and network lifetime are important issue in WSN. With these objective Non-dominated Sorting Genetic Algorithm (NSGA-III) is used for optimization. simulation result is shown and discussed in the result and discussion. we summaries range of different studies of optimization and discuss the open problem to be targeted in future research.