Towards Distributed Wireless Intelligent Sensor Networks
Over the past few years, approaches including artificial intelligence models into Wireless Sensor Networks have gained much attention within the research community. However, little attention has been paid to integrate Fuzzy Rule Based-Systems into Wireless Sensor Network. Since traditional approaches of Fuzzy Rule Based-Systems cannot be applied, due to limited resources that the sensors nodes have, the principal aim of this work is to design a distributed knowledge based Wireless Sensor Network, where each node of the network executes an adapted Fuzzy Rule Based-System. This aim has been divided into the followings: 1) to design a Fuzzy Rule Based-System adapted to a sensor node, 2) to design an application protocol which allows transmitting knowledge bases to sensors nodes and 3) to simulate a particular scenario with network simulator ns-2. The performance of a Sun SPOT sensor has been evaluated and a comparison to other devices is reported. The results show that a Sun SPOT sensor can execute properly a Fuzzy Rule Based-System adapted to it, and that it is possible to create a useful distributed knowledge based Wireless Sensor Network.
KeywordsIntelligent sensor Fuzzy Rule Based-Systems ns-2 WSN WISN
Unable to display preview. Download preview PDF.
- 2.Averkin, A.: Soft Computing in WSNs. In: Proc. of the EUSFLAT, pp. 387–390 (2007)Google Scholar
- 3.Benoit, E., Dapoigny, R., Foulloy, L.: Fuzzy-Based Intelligent Sensor: Modelling, Design, Application. In: Proceeding of the 8th IEEE International Conference on Emerging Technologies, pp. 401–407 (2001)Google Scholar
- 5.Canada-Bago, J., Gadeo-Martos, M.A., Fernandez-Prieto, J.A., Velasco, J.R.: Poster Abstract: A Knowledge Based Wireless Sensor Network. In: Roedig, U., Sreenan, C.J. (eds.) EWSN 2009. LNCS, vol. 5432. Springer, Heidelberg (2009)Google Scholar
- 7.IEEE 802.15.4 Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications for Low-Rate Wireless Personal Area Networks (2006)Google Scholar
- 9.Karlsson, B.: Intelligent Sensor Networks - an Agent-Oriented Approach. In: Workshop on Real-World Wireless Sensor Networks (2005)Google Scholar
- 10.Kulakov, A., Davcev, D.: Tracking of unusual events in wireless sensor networks based on artificial neural-networks algorithms. In: Proc. of the International Conference on Information Technology: Coding and Computing. IEEE, Los Alamitos (2005)Google Scholar
- 11.Montenegro, G., Kushalnagar, N., Hui, J., Culler, D.: RFC 4944: Transmission of IPv6 packets over IEEE 802.15.4 networks. IETF (2007)Google Scholar
- 12.Perkins, C., Belding-Royer, E., Das, S.: Ad hoc On-Demand Distance Vector (AODV) Routing, RFC 3561 (2003)Google Scholar
- 13.Shan, Q., Liu, Y., Prosser, G., Brown, D.: Wireless intelligent sensor networks for refrigerated vehicle. In: Proceeding of the 6th IEEE Circuits and Systems Symposium on Emerging Technologies, vol. 2, pp. 525–528 (2004)Google Scholar
- 14.Sun Microsystems. Home of project Sun SPOT, http://www.sunspotworld.com
- 15.Texas Instruments. 2.4 GHz IEEE 802.15.4/Zigbee-ready RF transceiver (rev. B)Google Scholar
- 16.The network simulator - ns-2 (2002), http://www.isi.edu/nsnam/ns/