Performance Evaluation of a Fuzzy-Based Wireless Sensor and Actuator Network Testbed Considering Depth and RGB Sensors
Keisuke Ebisu, Takaaki Inaba, Donald Elmazi, Makoto Ikeda, Elis Kulla, Leonard Barolli · 2016
Wireless Sensor and Actuator Networks (WSANs) have emerged as a variation of wireless sensor networks. WSANs have great potential for improving many current applications, such as environmental monitoring/surveillance, life science and rescue/support operations. In previous work, we proposed a fuzzy-based WSAN testbed that based on data provided by sensors and actuators select an appropriate actuator node. In this paper, we evaluate the performance of our proposed fuzzy-based WSAN testbed system considering depth and RGB sensors. We show the implemented realtime control applications in testbed system. From the results, we observe that our testbed have a good performance for different job types.