Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
A self-management framework for wireless sensor networks
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
MANNA: a management architecture for wireless sensor networks
IEEE Communications Magazine
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Clustering allows hierarchical structures to be built on the nodes and enables more efficient use of scarce resources, such as frequency spectrum, bandwidth, and energy in wireless sensor networks (WSNs). This paper proposes an energy efficient clustering algorithm for self-organizing and self-managing high-density large-scale WSNs, called SNOWCLUSTER. It introduces region node selection as well as cluster head election based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. Each sensor node autonomously selects cluster heads based on a probability that depends on its residual energy level. The role of cluster heads or region nodes is rotated among nodes to achieve load balancing and extend the lifetime of every individual sensor node. To do this, SNOWCLUSTER clusters periodically to select cluster heads that are richer in residual energy level, compared to the other nodes, according to clustering policies from administrators. To prove the performance improvement of SNOWCLUSTER, the ns-2 simulator was used. The results show that it can reduce the energy and bandwidth consumption for clustering and managing WSNs.