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Abstract
A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental condition such as  temperature,  sound,  pressure, etc. and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; today such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on. How nodes communicate with each other effectively and intelligently is a key issue in these types of networks. This work presents a simple but yet efficient network discovery and an intelligent metric for route selection in smart environments that combines several parameters through the use of fuzzy logic, shortest hop method and through virtual backbone scheduling (VBS).
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References
[2] Ghost city testbed for smart city technology. [Online]. Available: http://www.urenio.org/2012/05/17/ghost-city-testbed-for-smart-city-technology/
[3] WISEBED, Wireless sensor network testbed. [Online]. Available: http://www.wisebed.eu
[4] Libelium completes Smart Cities wireless sensing platforms. [Online]. Available: http://www.environmental-expert.com/news
[5] X. Ju, H. Zhang, and D. Sakamuri, “NetEye: A User-Centered Wireless Sensor Network Testbed for High-Fidelity, Robust Experimentation,†in International Journal of Communication Systems, 2012.
[6] J. M. Mendel, “Fuzzy logic systems for engineering: a tutorial,†Proceedings of the IEEE, vol. 83, no. 3, pp. 345–377, Mar. 1995.
{7} Development of Virtual Backbone Scheduling Technique with Clustering For Faster Data Collection in Wireless Sensor Networks. [Online] Available: http://www.ijceronline.com/papers/Vol3_issue5/Part.4/E035425030.pdf