Bio-inspired mobility in environment aware wireless sensor networks

Abstract

Today's wireless sensors act as information agents, our eyes and ears, for all types of applications, especially in inaccessible regions. But these sensors are resource-constrained devices; the key challenges remain in exploiting their limited time-life. A crucial factor to achieve this is to develop appropriate mobility models that would assure high information coverage of the desired deployed region within the area. We propose a biologically inspired mobility model to direct sensors' movement towards the target area. We show the benefits acquired in terms of data coverage and efficient resource-utilization.