Connectivity control in WSN based on fuzzy logic control

Abstract

The connectivity of a wireless sensor network (WSN), specified as the percentage of nodes that are able to reach the base station (BS) that relays nodes data to other networks, has to be kept as high as possible, without either increasing significantly the energy consumption or worsening the WSN overall performance. Modelling accurately a WSN and designing a control system for accomplishing the desired network connectivity is an effortful task. In this paper, an approach based on fuzzy logic control is proposed, as it provides a better trade-off between accuracy, effort and time. The control system running in each node will manage both the communication range to guarantee a minimum number of neighbors called node degree , and the node degree itself, depending on the node's battery level at each moment. The fuzzy controller running in a node will monitor the own node's parameters, without flooding WSN with monitoring messages.