A new fuzzy based clustering algorithm for wireless mobile Ad-Hoc sensor networks

2013 International Conference on Computer Communication and Informatics, ICCCI 2013

Volumn , Issue , 2013, Pages

  Balasubramaniyan, R ^a   Chandrasekaran, M ^b  

^a VRS College of Engineering and Technology   (India)

^b GOVERNMENT COLLEGE OF ENGINEERING   (India)

Author keywords

clustering; flat structure; fuzzy relevance; mobile ad hoc; mobility; resource management and sharing

Indexed keywords

CLUSTERING; FLAT STRUCTURES; FUZZY RELEVANCE; MOBILE AD HOC; RESOURCE MANAGEMENT;

AD HOC NETWORKS; CARRIER MOBILITY; COMMUNICATION; INFORMATION MANAGEMENT; INFORMATION SCIENCE; MOBILE AD HOC NETWORKS; NATURAL RESOURCES MANAGEMENT; RESOURCE ALLOCATION; SENSOR NETWORKS;

CLUSTERING ALGORITHMS;

EID: 84874746037     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCI.2013.6466313     Document Type: Conference Paper

References (30)

1. Anitha, V.S.; Sebastian, M.P. SCAM: Scenario-based clustering algorithm for mobile ad hoc networks. Presented at the Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications, Singapore, October 2009; pp. 97-104.
2. Basagni, S.; Mastrogiovanni, M.; Panconesi, A.; Petrioli, C. Localized protocols for ad hoc Clustering and backbone formation: A performance comparison. IEEE Trans. Parall. Distrib. Sys 2006, 17, 292-306.
3. Dhurandher, S.K.; Singh, G.V. Weighted-based adaptive clustering algorithm in mobile ad hoc networks. Presented at the Proceedings of ICPWC'2005, New Delhi, India, January 2005; pp. 96-100.
4. Gao, L.; Mu, D.; Wang, Y.; Zhang, G.; Zhang, L. A novel clustering algorithm for ad hoc network. Presented at the Proceedings of ICIEA 2009, The 4th IEEE Conference on Industrial Electronic and Applications, Xi'an, China, May 2009; pp. 445-448.
5. Agarwal, R.; Motwani, M. Survey of clustering algorithm for MANET. Int. J. Comput. Sci. Eng 2009, 1, 98-104.
6. Lacks, D.; Chatterjee, M.; Kocak, T. Design and evaluation of a distributed clustering algorithm for mobile ad hoc networks. Comput. J 2009, 52, 656-670.
7. Yang, B.; Xu, J.; Yang, J.; Yang, D. A novel weighted clustering algorithm in mobile ad hoc networks using discrete particle swarm optimization. Int. J. Netw. Manage 2010, 20, 71-84.
8. Islam, T.A.; Manel, G.Z.; Jamal, N.; Julian, M.P. Wireless multimedia sensor networks: Current trends and future directions. Sensors 2010, 10, 6662-6717.
9. Gerla, M.; Tsai, J.T. Multiuser, mobile, multimedia radio network. Wirel. Netw 1995, 1, 255-265.
10. Chattwejee, M.; Das, S.K.; Turgut, D. WCA: A weighted clustering algorithm for mobile ad hoc networks. Cluster Comput 2002, 5, 193-204
11. El-Bazzal, Z.; Kadoch, M.; Agba, B.L.; Gagnon, F.; Bennani, M. A flexible weight based clustering algorithm in mobile ad hoc networks. Presented at the Proceedings of the International Conference on System and Networks Communication (ICSNC'06), Tahiti, French Polynesia, February 2006; pp. 50-56.
12. Heinzelman, W.R.; Chandrakasan, A.; Balakrishnan, H. Energy-efficient communication protocol for wireless microsensor networks. Presented at the Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, 2000, Maui, HI, USA, January 2000; pp. 10-16.
13. Kadri, B.; Mohamed, A.; Feham, M. Secured clustering for mobile ad hoc networks. Int. J. Comput. Sci. Netw. Sec 2007, 7, 27-34.
14. Wang, Y.; Liang, T.; Yang, X.; Zhanh, D. Scalable and effective cluster based routing algorithm using node's location for mobile ad hoc networks. Inform. Technol. J 2008, 7, 958-971.
15. Atanassov, K. Intuitionistic fuzzy sets. Fuzzy Sets Syst 1986, 20, 87-96.
16. Chinara, S.; Rath, S.K. A survey on one-hop clustering algorithms in mobile ad hoc networks. J. Syst. Manage 2009, 17, 183-207.
17. Baker, D.J.; Ephremides, A. The architectural organization of a mobile radio network via a distributed algorithm. IEEE Trans. Commun 1981, 29, 1694-1701.
18. Ephremides, A.; Wieselthier, J.; Baker, D. A design concept for reliable mobile radio network with frequency hopping signaling. Proc. IEEE 1987, 75, 56-73.
19. Villalba, L.J.G.; Orozco, A.L.S.; Cabrera, A.T.; Abbas, C.J.B. Routing protocols in wireless sensor networks. Sensors 2009, 9, 8399-8421.
20. Niu, J.; Deng, Z. Collaborative distributed scheduling approaches for wireless sensor network. Sensors 2009, 9, 8007-8030.
21. Ohta, T.; Inoue, S.; Kakuda, Y. An adaptive multihop clustering science for highly mobile ad hoc networks. Presented at the Proceedings of the Sixth International Symposium on Autonomous Decentralized Systems (ISADS'03), Pisa, Italy, April 2003; pp. 1-8.
22. Qiu, X.; Liu, H.; Li, D.; Yick, J.; Mukherjee, B. Efficient aggregation of multiple classes of information in wireless sensor networks. Sensors 2009, 9, 8083-8108.
23. Adabi, S.; Jabbehdari, S.; Rahmani, A.; Adabi, S. A Novel distributed clustering algorithm for mobile ad-hoc networks. J. Comput. Sci 2008, 4, 161-166.
24. Zhang, Y.; Ng, J.M.; Low, C.P. A distributed group mobility adaptive clustering algorithm for mobile ad hoc networks. Comput. Commun 2009, 32, 189-202.
25. Basu, P.; Khan, N.; Little, T.D.C. A mobility based metric for clustering in mobile ad hoc networks. Presented at the Proceedings of IEEE ICDCS 2001 Workshop on Wireless Networks and Mobile Computing, Mesa, AZ, USA, April 2001; pp. 1-19.
26. Gayathri, V.; Sabu, E.; Srikanthan, T. Size-restricted cluster formation and cluster maintenance technique for mobile ad hoc networks. Int. J. Netw. Manage 2007, 17, 171-194.
27. Chinara, S.; Rath, S.K. A survey on one-hop clustering algorithms in mobile ad hoc networks. J. Syst. Manage 2009, 17, 183-207.
28. Gupta, I.; Riordan, D.; Sampalli, S. Cluster-head election using fuzzy logic for wireless sensor networks. Presented at the Proceedings of the 3rd Annual Communication Networks and Services Research Conference, Nova Scotia, Canada, May 2005; pp. 255-260.
29. Tan, H.; Zeng, W.; Bao, L. PATM: Priority-based adaptive topology management for efficient routing in ad hoc networks. Presented at the Proceedings of International Conference on Computational Science, Singapore, May 2005; pp. 485-492.
30. Available online: http://www.isi.edu/nanam/ns (17 May 2011)..