Node Clustering in Wireless Sensor Networks by Considering Structural Characteristics of the Network Graph

The deployment of wireless sensor networks in many application areas, e.g., aggregation services, requires self-organization of the network nodes into clusters. Quite a lot of node clustering techniques have appeared in the literature, and roughly fall into two families; those based on the construction of a dominating set and those which are based solely on energy considerations. The former family suffers from the fact that only a small subset of the network nodes are responsible for relaying the messages, and thus cause rapid consumption of the energy of these nodes. The later family uses the residual energy of each node in order to direct its decision about whether it will elect itself as a leader of a cluster or not. This family's methods ignore topological features of the nodes and are used in combination with the methods of the former family. We propose a novel distributed clustering protocol for wireless sensor networks, based on a novel metric for characterizing the importance of a node, w.r.t. its contribution in relaying messages. The protocol achieves small communication complexity and linear computation complexity. Experimental results for various sensor network topologies show that the protocol generates only a few clusters, guaranteeing a small number of message relays thus improving network lifetime

[1]  Mahtab Seddigh,et al.  Dominating Sets and Neighbor Elimination-Based Broadcasting Algorithms in Wireless Networks , 2002, IEEE Trans. Parallel Distributed Syst..

[2]  Deborah Estrin,et al.  Habitat monitoring with sensor networks , 2004, CACM.

[3]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[4]  Hyuk Lim,et al.  J-Sim: a simulation and emulation environment for wireless sensor networks , 2006, IEEE Wireless Communications.

[5]  Yu-Chee Tseng,et al.  Wireless sensor networks for emergency navigation , 2006, Computer.

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

[7]  Mario Gerla,et al.  Adaptive Clustering for Mobile Wireless Networks , 1997, IEEE J. Sel. Areas Commun..

[8]  Jie Wu,et al.  A Dominating-Set-Based Routing Scheme in Ad Hoc Wireless Networks , 2001, Telecommun. Syst..

[9]  Shashi Phoha,et al.  Self-organizing sensor networks for integrated target surveillance , 2006, IEEE Transactions on Computers.

[10]  Ambuj K. Singh,et al.  DIST: a distributed spatio-temporal index structure for sensor networks , 2005, CIKM '05.

[11]  Robert Tappan Morris,et al.  Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks , 2002, Wirel. Networks.

[12]  Yannis Manolopoulos,et al.  Generalized Indexing for Energy-Efficient Access to Partially Ordered Broadcast Data inWireless Networks , 2006, 2006 10th International Database Engineering and Applications Symposium (IDEAS'06).

[13]  Ravi Prakash,et al.  Max-min d-cluster formation in wireless ad hoc networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[14]  Ossama Younis,et al.  Node clustering in wireless sensor networks: recent developments and deployment challenges , 2006, IEEE Network.

[15]  Anis Laouiti,et al.  Multipoint Relaying: An Efficient Technique for Flooding in Mobile Wireless Networks , 2000 .

[16]  Alessandro Panconesi,et al.  Localized protocols for ad hoc clustering and backbone formation: a performance comparison , 2006, IEEE Transactions on Parallel and Distributed Systems.

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

[18]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[19]  Anthony Ephremides,et al.  The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm , 1981, IEEE Trans. Commun..

[20]  Mario Gerla,et al.  Multicluster, mobile, multimedia radio network , 1995, Wirel. Networks.