Performance Evaluation of a Fuzzy-Based Wireless Sensor and Actuator Network Testbed for Object Tracking
Makoto Ikeda, Keisuke Ebisu, Yuki Sakai, Donald Elmazi, Leonard Barolli, Elis Kulla · 2015
Wireless Sensor and Actuator Networks (WSANs) have emerged as a variation of wireless sensor networks. WSANs are capable of monitoring physical phenomenons, processing sensed data, making decisions based on the sensed data and completing appropriate tasks when needed. Many surveillance cameras are used in facilities in order to keep secure environment. Human operators are now physically unable to constantly monitor these cameras. The devices deployed in the environment are sensors able to sense environmental data, actuators able to react by affecting the environment or have both functions integrated. In previous work, we proposed a fuzzy-based testbed that based on data provided by sensors and actuators selects an appropriate actuator node. In this paper, we evaluate its performance testbed system for object tracking. From the evaluation results, we found that the system detects the actuators in order to have low latency and proper task assignment considering multi actuators.