System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICNP '02 Proceedings of the 10th IEEE International Conference on Network Protocols
Load-Balancing Clusters in Wireless Ad Hoc Networks
ASSET '00 Proceedings of the 3rd IEEE Symposium on Application-Specific Systems and Software Engineering Technology (ASSET'00)
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Energy-centric enabling tecumologies for wireless sensor networks
IEEE Wireless Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
International Journal of Sensor Networks
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
An energy-efficient adaptive clustering algorithm with load balancing for wireless sensor network
International Journal of Sensor Networks
TCTM: an evaluation framework for architecture design on wireless sensor networks
International Journal of Sensor Networks
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Clustering methods have shown their promising effects in the conservation of energy in Wireless Sensor Networks (WSNs). In this paper, we present a Ring-structured Energy-efficient Clustering Architecture (RECA) for WSNs to prolong the network lifetime. RECA uses deterministic cluster-head management algorithm to evenly distribute the work load among the nodes within a cluster. Nodes within a cluster make local decisions on the fair-share length of their duty cycle according to their remaining energy supply and those of the rest of the nodes within the same cluster. This guarantees that all nodes deplete their energy supply at approximately the same time regardless of the initial amount of energy in their battery. Simulation study has been used to evaluate the performance of RECA. The results show that RECA is efficient in managing energy in a wide range of networks settings. The results also show the importance of even energy dissipation with regard to network lifetime. Finally, we propose mechanisms to improve the robustness of RECA and ensure that there is an upper bound on the period of time during which a cluster remains without a cluster-head.