Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Distributed Clustering for Ad Hoc Networks
ISPAN '99 Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks
CODA: congestion detection and avoidance in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A scalable key management and clustering scheme for wireless ad hoc and sensor networks
Future Generation Computer Systems
DECP: A Distributed Election Clustering Protocol for Heterogeneous Wireless Sensor Networks
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Distributed location and lifetime biased clustering for large scale wireless sensor network
ICDCN'06 Proceedings of the 8th international conference on Distributed Computing and Networking
Prolonging the lifetime of wireless sensor network via multihop clustering
NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
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Wireless sensor network is a key technology for new ways of interaction between computers and the physical environment. However, the energy constrained and limited computing resources of the sensor nodes present major challenges in gathering data. Since sensor nodes are densely deployed, redundant data may occur. While cluster-based data gathering is efficient at energy and bandwidth, it is difficult to cluster network efficiently. In this work, a new distributed clustering algorithm for wireless sensor networks is presented. The proposed algorithm learns the previous experiences and makes the clusters based on the density of sensors and the number of cluster members calculated so far. Simulation results show that the proposed algorithm balances the energy dissipation over the whole network thus increases the amount of data delivery to the sink.