Selection of Actor Nodes in Wireless Sensor and Actor Networks: A Fuzzy-Based Approach Considering Number of Obstacles as New Parameter
2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) (2018)
May 16, 2018 to May 18, 2018
Wireless Sensor and Actor Network (WSAN) is formed by the collaboration of micro-sensor and actor nodes. Whenever there is any special event i.e., fire, earthquake, flood or enemy attack in the network, sensor nodes have responsibility to sense it and send information towards an actor node. The actor node is responsible to take prompt decision and react accordingly. 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: Job Type (JT), Distance to Event (DE), Remaining Energy (RE) and different from our previous work we consider the Number of Obstacles (NO) parameter. The output parameter is Actor Selection Decision (ASD). Based on these parameters, the simulation results show that the proposed system makes a proper selection of actor nodes. The simulation results show that ASD is decrased 23% and 40%, by increasing NO and DE, respectively.
fuzzy set theory, wireless sensor networks
D. Elmazi, M. Cuka, K. Bylykbashi, E. Spaho, M. Ikeda and L. Barolli, "Selection of Actor Nodes in Wireless Sensor and Actor Networks: A Fuzzy-Based Approach Considering Number of Obstacles as New Parameter," 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), Krakow, Poland, 2018, pp. 658-666.