Distributed Clustering for Ad Hoc Networks
ISPAN '99 Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Impact of radio irregularity on wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Wireless sensor networks
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
On Constructing k-Connected k-Dominating Set in Wireless Networks
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Heuristic Constraint-Path Routing Decision System
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Energy Conserving Architectures and Algorithms for Wireless Sensor Networks
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 09
PEACH: Power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks
Computer Communications
Genetic Algorithmic Topology Control for Two-Tiered Wireless Sensor Networks
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Distributed energy-efficient hierarchical clustering for wireless sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
The Design and Simulation of a Mobile Radio Network with Distributed Control
IEEE Journal on Selected Areas in Communications
Node clustering in wireless sensor networks: recent developments and deployment challenges
IEEE Network: The Magazine of Global Internetworking
Mobile Information Systems - Internet of Things
Minimum distance clustering algorithm based on an improved differential evolution
International Journal of Sensor Networks
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Clustering techniques have emerged as a popular choice for achieving energy efficiency and scalable performance in large scale sensor networks. Cluster formation is a process whereby sensor nodes decide which cluster head they should associate with among multiple choices. Typically this cluster head selection decision involves a metric based on parameters including residual energy and distance to the cluster head. This decision is a critical embarkation point as a poor choice can lead to increased energy consumption, thus compromising network lifetime. In this paper we present a novel energy efficient cluster formation algorithm based on a multi-criterion optimization technique. Our technique is capable of using multiple individual metrics in the cluster head selection process as input while simultaneously optimizing on the energy efficiency of the individual sensor nodes as well as the overall system. The proposed technique is implemented as a distributed protocol in which each node makes its decision based on local information only. The feasibility of the proposed technique is demonstrated with simulation results. It is shown that the proposed technique outperforms all other well known protocols including LEACH, EECS and HEED resulting in a significant increase in network life.