Clustering Algorithms of Wireless Sensor Networks

Topology control is one of the most important parts of Wireless Sensor Networks (WSNs)which is the current hotspot of research and application. Comparing with the other traditional wireless networks, this paper firstly summarizes the specialties of typic WSNs, and then studies the recent representative clustering algorithms in this area by summing up their characteristics and application areas, posting their limitations, and pointing out the future trend of the Clustering Arithmetic of WSNs emphatically.

[1]  Jie Wu,et al.  EECS: an energy efficient clustering scheme in wireless sensor networks , 2005, PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005..

[2]  Maggie Xiaoyan Cheng,et al.  Energy-efficient broadcast and multicast routing in ad hoc wireless networks , 2003, Conference Proceedings of the 2003 IEEE International Performance, Computing, and Communications Conference, 2003..

[3]  Catherine Rosenberg,et al.  Design guidelines for wireless sensor networks: communication, clustering and aggregation , 2004, Ad Hoc Networks.

[4]  Deborah Estrin,et al.  Geography-informed energy conservation for Ad Hoc routing , 2001, MobiCom '01.

[5]  Ossama Younis,et al.  Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach , 2004, IEEE INFOCOM 2004.

[6]  S.A. Khan,et al.  Analyzing & Enhancing energy Efficient Communication Protocol for Wireless Micro-sensor Networks , 2005, 2005 International Conference on Information and Communication Technologies.

[7]  François Baccelli,et al.  Poisson-Voronoi Spanning Trees with Applications to the Optimization of Communication Networks , 1999, Oper. Res..

[8]  Xiang-Yang Li,et al.  Localized topology control for heterogeneous wireless sensor networks , 2006, TOSN.

[9]  Hwa-Chun Lin,et al.  A clustering technique for large multihop mobile wireless networks , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[10]  Mohammed Feham,et al.  A novel cluster-based self-organization algorithm for wireless sensor networks , 2008, 2008 International Symposium on Collaborative Technologies and Systems.

[11]  Jiejun Kong,et al.  The challenges of building mobile underwater wireless networks for aquatic applications , 2006, IEEE Network.

[12]  C. Bettstetter,et al.  Time and message complexities of the generalized distributed mobility-adaptive clustering (GDMAC) algorithm in wireless multihop networks , 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

[13]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[14]  Nael B. Abu-Ghazaleh,et al.  A taxonomy of wireless micro-sensor network models , 2002, MOCO.

[15]  Sajal K. Das,et al.  WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks , 2002, Cluster Computing.

[16]  Jim Kurose,et al.  A survey of practical issues in underwater networks , 2007 .

[17]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.

[18]  Yuan Li,et al.  Research challenges and applications for underwater sensor networking , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[19]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[20]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[21]  Dahlia Malkhi,et al.  K-clustering in wireless ad hoc networks , 2002, POMC '02.

[22]  Stefano Basagni,et al.  Distributed clustering for ad hoc networks , 1999, Proceedings Fourth International Symposium on Parallel Architectures, Algorithms, and Networks (I-SPAN'99).

[23]  Christian Bettstetter,et al.  On the Message and Time Complexity of a Distributed Mobility – Adaptive Clustering Algorithm in Wireless Ad Hoc Networks , 2001 .

[24]  Ming-Jer Tsai,et al.  A Comment on "HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks' , 2006, IEEE Transactions on Mobile Computing.

[25]  Catherine Rosenberg,et al.  Homogeneous vs heterogeneous clustered sensor networks: a comparative study , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).