Implementation and comparison of two intelligent systems based on fuzzy logic for actor selection in WSANs: effect of node density on actor selection

Abstract

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 are responsible 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 propose and implement two fuzzy based actor selection systems (FBASS): FBASS1 and FBASS2 for actor selection in WSANs. The systems decide whether the actor will be selected for the required job or not based on data supplied by sensors and actual actor condition. We evaluated the proposed system by computer simulations. Comparing FBASS1 with FBASS2, the FBASS2 is more complex than FBASS1, because it has more rules in fuzzy rule base (FRB). By increasing node density, the FBASS2 can save better the energy.