A Fuzzy-Based System for Actor Node Selection in WSANs Considering Level of Received Signal

Abstract

Wireless Sensor and Actor Network (WSAN) is formed by the collaboration of micro-sensor and actor nodes. The sensor nodes have responsibility to sense an event and send information towards an actor node. The actor node is responsible to take prompt decision and react accordingly. In order to provide effective sensing and acting, a distributed local coordination mechanism is necessary among sensors and actors. In this work, we consider the actor node selection problem and propose a fuzzy-based system (FBS) that based on data provided by sensors and actors selects an appropriate actor node. We use 4 input parameters: Distance to Event (DE), Number of Sensors per Actor (NSA), Remaining Energy (RE) and Level of Received Signal (LRS) as new parameter. The output parameter is Actor Selection Decision (ASD). Considering NSA parameter, the ASD has better values when NSA is medium. Thus, when the NSA value is 0.5 the load is distributed better and in this situation the possibility for the actor to be selected is high. Also, for higher values of LRS, the actor is selected with high possibility.