A Fuzzy-Based System for Actor Node Selection in WSANs Considering Task Accomplishment Time as a New Parameter

The growth in sensor networks and importance of active devices in the physical world has led to the development of Wireless Sensor and Actor Networks (WSANs). WSANs consist of a large number of sensors and also a smaller number of actors. Whenever there is any emergency situation i.e., fire, earthquake, flood or enemy attack in the area, sensor nodes have the responsibility to sense it and send information towards an actor node. According to these data gathered, the actor nodes take a prompt action. 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 to carry out a task. We use 4 input parameters: Task Accomplishment Time (TAT), Distance to Event (DE), Power Consumption (PC) and Number of Sensors per Actor (NSA). The output parameter is Actor Selection Decision (ASD). We evaluate the proposed system by simulations. The simulation result show that the shorter the time for an actor to complete a task, the higher is the posssibility of the actor to be selected to carry out the job.

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