Performance Evaluation of Wireless Sensor Network Using Genetic Algorithm
In this paper, the authors present evolutionary computation approach i.e. genetic algorithm for improving performance of wireless sensor network in disaster conditions. A successful disaster management requires fast synchronization of existing resources. At time of disaster, wireless sensor network becomes very complex. In such conditions connectivity among nodes should be maintained in disaster scenarios due to constrained and mobile conditions it becomes difficult to maintain connectivity. In this paper, they propose genetic algorithm for performance enhancement of wireless sensor network in disaster condition since number of parameters is considered, a genetic algorithm and the network simulator NS-2 is proposed for simulation.