A Mobile Wireless Sensor Network Emphasizing Region of Interest via a More Effective Swarm Intelligence Method

Autonomous mobile nodes along with stationary nodes deployment in wireless sensor network (WSN) makes WSN more effective for monitoring very dynamic environment where temporal changes in the heterogeneous parameters occur. In order to gather all required information and process them with higher accuracy requires higher resources, e.g. Higher number of nodes contributing in a particular task. Number of nodes requirement shrinks with the merge of mobile nodes and stationary nodes in wireless sensor network. Basic idea is to let mobile nodes move to assist others while they are seating inactive. Recent years, there have been many algorithms, those mostly mimics swarm intelligence in order to act on region of interest within WSN coverage area. In this paper an improved method of mobile nodes allocation to make the system more effective has been proposed, which performs more efficiently in extreme conditions in comparison with the existing swarm intelligence algorithms and it has been demonstrated through simulation.