Abstract
In wireless sensor and actor networks, sensors and actors collaborate to get the information about the physical environment and perform appropriate actions. In order to provide effective sensing and acting, a distributed local coordination mechanism is necessary among sensors and actors. In this work, we implement and compare two Fuzzy-Based Systems (FBS1 and FBS2) for actor selection problem. These systems decide whether the actor will be selected for the required job or not, based on data supplied by sensors and actual actor condition. For FBS1, we use three input parameters: job type (JT), remaining energy of actor (REA) and distance of actor from job place (DAJP). The output parameter is actor selection decision (ASD). The simulation results show that the FBS1 decides the actor selection in order to have short delays, low energy consumption, and proper task assignment. For FBS2, we consider four input parameters: JT, REA, DAJP and actor node speed (ANS). The output parameter is the ASD. Comparing complexity of FBS1 and FBS2, the FBS2 is more complex than FBS1. However, it also considers mobility of actor nodes. Thus, the FBS2 is more flexible system than FBS1.
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Elmazi, D., Kulla, E., Oda, T. et al. A comparison study of two fuzzy-based systems for selection of actor node in wireless sensor actor networks. J Ambient Intell Human Comput 6, 635–645 (2015). https://doi.org/10.1007/s12652-015-0279-6
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DOI: https://doi.org/10.1007/s12652-015-0279-6