Abstract
Fuzzy sets and fuzzy logic have been developed to manage vagueness and uncertainty in a reasoning process of an intelligent system such as a knowledge based system, an expert system or a logic control system. In our previous work, we evaluated the performance of our proposed fuzzy-based Wireless Sensor and Actuator Network (WSAN) testbed that based on data provided by depth and RGB sensors and sink selects an appropriate actuator node. In this paper, we evaluate the performance of our proposed fuzzy-based WSAN simulation and testbed systems considering two actuators. From the performance evaluation, we observe that the difference between simulation and experiment is small when REA2 is small or medium state.
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References
ASUSTeK Computer Inc., https://www.asus.com/3D-Sensor/Xtion_PRO_LIVE/
iRobot Corporation, http://www.irobot.com/
SparkFun Bluetooth Modem - BlueSMiRF Gold, https://www.sparkfun.com/products/12582
Akyildiz, I.F., Kasimoglu, I.H.: Wireless sensor and actor networks: Research challenges. Ad Hoc Networks Journal (Elsevier) 2(4), 351–367 (October 2004)
O¨ zgu¨r B. Akan, Akyildiz, I.F.: Event-to-sink reliable transport in wireless sensor networks. IEEE/ACM Transactions on Networking 13(5), 1003–1016 (October 2005)
Ebisu, K., Inaba, T., Elmazi, D., Ikeda, M., Barolli, L., Kulla, E.: A fuzzy-based testbed design for wireless sensor and actuator networks. In: Proceedings of the 5th International Workshop on Information Networking and Wireless Communications (INWC-2015). pp. 548–553 (September 2015)
Ebisu, K., Inaba, T., Elmazi, D., Ikeda, M., Kulla, E., Barolli, L.: Performance evaluation of a fuzzy-basedwireless sensor and actuator network testbed considering depth and rgb sensors. In: Proceedings of the 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2016). pp. 69–75 (July 2016)
Forlizzi, J., DiSalvo, C.: Service robots in the domestic environment: A study of the roomba vacuum in the home. In: Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction (ACM HRI-2006). pp. 258–265. Utah, US (March 2006)
Ikeda, M., Ebisu, K., Sakai, Y., Elmazi, D., Barolli, L.: Performance evaluation of a fuzzybased wireless sensor and actuator network testbed for object tracking. In: Proceedings of the 6th International Workshop on Methods, Analysis and Protocols for Wireless Communication (MAPWC-2015). pp. 442–447 (November 2015)
Inaba, T., Sakamoto, S., Oda, T., Barolli, L., Takizawa, M.: A new FACS for cellular wireless networks considering QoS: A comparison study of FuzzyC with MATLAB. In: Proceedings of the 18th International Conference on Network-Based Information Systems (NBiS-2015). pp. 338–344 (September 2015)
Jiang, X., Dawson-Haggerty, S., Dutta, P., Culler, D.: Design and implementation of a highfidelity ac metering network. In: Proceedings of the International Conference on Information Processing in Sensor Networks 2009 (IPSN-2009). pp. 253–264. San Francisco, US (April 2009)
Mendel, J.M.: Fuzzy logic systems for engineering: A tutorial. Proceedings of the IEEE 83(3), 345–377 (1995)
Schmitt, S., Will, H., Aschenbrenner, B., Hillebrandt, T., Kyas, M.: A reference system for indoor localization testbeds. In: Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN-2012). pp. 1–8. Sydney, Australia (November 2012)
Sung, J.Y., Guo, L., Grinter, R.E., Christensen, H.I.: My Roomba is Rambo: Intimate home appliances. In: Proceedings of the 9th International Conference on Ubiquitous Computing (UbiComp-2007). pp. 145–162. Seoul, South Korea (September 2007)
Tribelhorn, B., Dodds, Z.: Evaluating the roomba: A low-cost, ubiquitous platform for robotics research and education. In: Proceedings of the IEEE International Conference on Robotics and Automation (IEEE ICRA-2007). pp. 1393–1399. Roma, Italy (April 2007)
Yu, Y., Rittle, L.J., Bhandari, V., LeBrun, J.B.: Supporting concurrent applications in wireless sensor networks. In: Proceedings of the 4th ACM International Conference on Embedded Networked Sensor Systems (ACM SenSys-2006). pp. 139–152. Boulder, US (November 2006)
Zadeh, L.: Fuzzy logic, neural networks, and soft computing. ACM Communications pp. 77–84 (1994)
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Ebisu, K., Inaba, T., Elmazi, D., Ikeda, M., Barolli, L., Kulla, E. (2017). A Fuzzy-Based Wireless Sensor and Actuator Network: Simulation and Experimental Results. In: Barolli, L., Xhafa, F., Yim, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49106-6_69
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DOI: https://doi.org/10.1007/978-3-319-49106-6_69
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