A Fuzzy-Based System for Actor Node Selection in WSANs for Improving Network Connectivity and Increasing Number of Covered Sensors

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 that based on data provided by sensors and actors selects an appropriate actor node. We use 4 input parameters: Size of Giant Component (SGC), Distance to Event ( DE), Remaining Energy (RE) and Number of Covered Sensors (NCS) as new parameter. The output parameter is Actor Selection Decision (ASD). The simulation results show that by increasing SGC to 0.5 and 0.9, the ASD is increased 12% and 68%, respectively.