Two Fuzzy-Based Systems for Selection of Actor Nodes inWireless Sensor and Actor Networks: A Comparison Study Considering Security Parameter Effect

• Published in: Mobile networks and applications Vol. 21; no. 1; pp. 53 - 64
• Main Authors: Elmazi, Donald, Sakamoto, Shinji, Oda, Tetsuya, Kulla, Elis, Spaho, Evjola, Barolli, Leonard
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-02-2016; Springer Nature B.V
• Subjects: Algorithms; Communication; Communications Engineering; Computer Communication Networks; Computer information security; Computer science; Delay; Electrical Engineering; Energy consumption; Engineering; Fuzzy; Fuzzy logic; IT in Business; Network management systems; Networks; Power; Sensors; Simulation; Studies; Tasks; Wireless communication; Wireless networks; United States > US; Fuzzy logic; Wireless sensor and actor networks; Actor nodes selection; Security effects
• ISSN: 1383-469X; 1572-8153
• DOI: 10.1007/s11036-015-0673-5

A group of wireless devices with the ability to sense physical events (sensors) or/and to perform relatively complicated actions (actors), is referred to as Wireless Sensor and Actor Network (WSAN). In WSANs, sensors gather information about the physical events, while actors perform appropriate actions upon the environment, based on the sensed data shared by sensors. In order to provide effective sensing and acting, a distributed local coordination mechanism is necessary among sensors and actors. In this work, we propose and implement two Fuzzy Based Actor Selection Systems (FBASS): FBASS1 and FBASS2. We focus on actor selection problem and implement two fuzzy-based system. 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 use three input parameters for FBASS1: Type of Required Action (TRA), Distance to Event (DE) and Remaining Power (RP). In FBASS2, we add the Security (SC) parameter as additional parameter. The output parameter for both systems is Actor Selection Decision (ASD). The simulation results show that the proposed systems decide the actor selection in order to have short delays, low energy consumption and proper task assignment. Comparing FBASS1 with FBASS2, the FBASS2 is more complex than FBASS1, because it has more rules in FRB. However, FBASS2 is able to decide secure actor nodes, which makes the system more secure.