Energy-efficient and Multi-stage Clustering Algorithm in Wireless Sensor Networks Using Cellular Learning Automata

References

• W Heinzelman, A Chandrakasan and H Balakrishnan, “Energy Efficient Communication Protocol for Wireless Microsensor Networks”, Intl. Conf. on System Sciences, Hawaii, January 2000.
   Google Scholar
• S Bandyopadhyay and E Coyle, “An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks”, In Proc. of the 22nd Annual Joint Conf. of the IEEE Computer and Communications Societies (INFOCOM 2003), San Francisco, California , April 2003.
   Google Scholar
• M Demirbas, A Arora and V Mittal, “FLOC: A Fast Local Clustering Service for Wireless Sensor Networks”, In Proc. of Workshop on Dependability Issues in Wireless Ad Hoc Networks and Sensor Networks (DIWANS’04), Palazzo dei Congressi, Florence, Italy, June 2004.
   Google Scholar
• S Banerjee and S Khuller, “A Clustering Scheme for Hierarchical Control in Multi-hop Wireless Networks”, In Proc. Of the 20th Annual Joint Conf. of the IEEE Computer and Communications Societies (INFOCOM), pp. 1028–1037, Anchorage, AK, USA, 2001.
   Google Scholar
• W Chen, J Hou and L Sha, “Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks”, Proceedings of the 11th IEEE International Conference on Network Protocols, pp. 284–94, 2003.
   Google Scholar
• D Liu, “Resilient Cluster Formation for Sensor Networks”, 27th International Conference on Distributed Computing Systems, 2007.
   Google Scholar
• P Krishna, N H Vaidya, M Chatterjee and D K Pradhan, “A Cluster-based Approach for Routing in Dynamic Networks”, ACM SIGCOMM Computer Communication Review, pp. 49–65, 1997.
   Google Scholar
• A Amis, R Prakash, T Vuong and D T Huynh, “MaxMin D-Cluster Formation in Wireless Ad Hoc Networks”, Proceedings of IEEE INFOCOM, pp. 32– 41, 2000.
   Google Scholar
• O Younis and S Fahmy, “HEED: A Hybrid, EnergyEfficient, Distributed Clustering Approach for Ad Hoc Sensor Networks”, IEEE Transactions on Mobile Computing, pp. 366–79, 2004.
   Google Scholar
• C Y Wen, W A Sethares, “Automatic Decentralized Clustering for Wireless Sensor Networks”, EURASIP Journal on Wireless Communications and Networking, pp. 686–97, March 2005.
   Google Scholar
• K Shin, A Abraham and S Y Han, “Self Organizing Sensor Networks Using Intelligent Clustering”, Intl. Conf. on Computational Science and Applications, UK, M. Gavrilova et al. (Eds.), Lecture Notes in Computer Science (LNCS 3983), Springer Verlag, Germany, pp. 40–9, 2006.
   Google Scholar
• M Ye, Ch Li, G Chen and J Wu, “EECS: An Energy Efficient Clustering Scheme in Wireless Sensor Networks”, In Proc. of the IEEE Intl. Workshop on Strategies for Energy Efficiency in Ad Hoc and Sensor Networks (IWSEEASN’05), April 2004.
   Google Scholar
• V Mittal, M Demirbas and A Arora, “LOCI: Local Clustering Service for Large Scale Wireless Sensor Networks”, Technical Report OSU-CISRC-2/03-TR07, Ohio State University, 2003.
   Google Scholar
• S Soro and W B Heinzelman, “Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering”, 5th Intl. IEEE Workshop on Algorithms for Wireless, Mobile, Ad Hoc and Sensor Networks (WMAN05), April 2005.
   Google Scholar
• Y Guo and J MeNair, “Cost Efficient Cluster Formation for Wireless Sensor Networks”, In Proc. of the Intl. Conf. on Cybernetics and Information Technologies, Systems and Applications (CITSA),Orlando, Florida, July 2004.
   Google Scholar
• M Lotfinezhad and B Liang, “Energy Efficient Clustering in Sensor Networks with Mobile Agents”, In Proc. of the IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, Louisiana, March 2005.
   Google Scholar
• K Akkaya and M Younis, “A survey on routing protocols for wireless sensor networks”, Elsevier Ad Hoc Network Journal, pp. 325–49, 2005.
   Google Scholar
• M Ilyas and I Mahgoub, “Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems”, London, Washington, D.C: CRC Press; 2005.
   Google Scholar
• O Younis and S Fahmy, “Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid, EnergyEfficient Approach”, In Proc . of IEEE INFOCOM, vol. 1, pp. 629–40, March 2004.
   Google Scholar
• H Huang and J Wu, “A Probabilistic Clustering Algorithm in Wireless Sensor Networks”, In Proc. of IEEE 62nd Semiannual Vehicular Technology Conference (VTC), Sept. 2005.
   Google Scholar
• N Farajzadeh and M R Meybodi, “Learning Automata-based Clustering Algorithm for Sensor Networks”, Proceedings of 12 th Annual CSI Computer Conference of Iran, Shahid Beheshti University, Tehran, Iran, pp.780–7 , Feb.20–22 ,2007.
   Google Scholar
• M Esnaashari and M R Meybodi, “A Cellular Learning Automata based Clustering Algorithm for Wireless Sensor Networks”, Sensor Letters, 2008.
   Google Scholar
• M A L Thathachar and P S Sastry, “Varieties of Learning Automata: An Overview”, IEEE Transaction on Systems, Man and Cybernetics-Part B: Cybernetics, Vol. 32, No. 6, PP. 711–22, 2002.
   Google Scholar
• K S Narendra and M A L Thathachar, “Learning Automata: An Introduction”, Englewood Cliffs, NJ: Prentice-Hall Inc, 1989.
   Google Scholar
• M R Kharazmi and M R Meybodi, “Image Restoration Using Cellular Learning Automata”, In Proc. of 2nd Iranian Conf. on Machine Vision, Image Processing and Applications, Tehran, Iran, pp. 261–70, 2003.
   Google Scholar
• M R Meybodi, H Beygi and M Taherkhani, “Cellular Learning Automata and its Applications”, Journal of Science Tech., Sharif (Sharif University of Technology, Tehran, Iran), pp. 54–77, 2004.
   Google Scholar
• M R Meybodi and M Taherkhani, “Application of Cellular Learning Automata in Modeling of Rumor Diffusion”, In Proc. of 9th Conf. on Electrical Engineering, Power and Water Institute of Technology, Tehran, Iran, pp. 102–10, May 2001.
   Google Scholar
• H Beigy and M R Meybodi, “A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach”, Springer-Verlag Lecture Notes in Computer Science, Vol. 2690, pp. 119–26, 2003.
   Google Scholar
• H Beigy and M R Meybodi, “Call Admission in Cellular Networks: A Learning Automata Approach”, Springer-Verlag Lecture Notes in Computer Science, Vol. 2510, pp. 450–7, 2002.
   Google Scholar