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- W2368609675 abstract "The present power-harvesting technology can make sensor nodes obtain harvesting energy from the environment automatically,directing at the current cluster routing algorithms for self-energized wireless sensor network the actual environment haven't been considered,that is,different geographic area gains different energy harvesting levels,which will lead less cluster heads,large-scale cluster region and network energy-imbalanced in weaker energy harvesting areas.In this paper,we propose an energy balanced clustering algorithm for self-energized wireless sensor networks-EBCS(Energy Balanced Clustering with Self-Energization),which combines with the real energy-harvesting setting to improve the cluster-head election mechanism.What's more,it adopts an adaptive inter-cluster communication mechanism,to sufficiently recharge and utilize the harvesting energy.Theoretical results and simulation manifest that EBCS algorithm can better keep the default cluster head proportion,and outperforms the two present algorithms in terms of the average residual energy and current available number of nodes in networks." @default.
- W2368609675 created "2016-06-24" @default.
- W2368609675 creator A5047662339 @default.
- W2368609675 date "2013-01-01" @default.
- W2368609675 modified "2023-09-26" @default.
- W2368609675 title "Energy Balanced Clustering Algorithm for Self-Energized Wireless Sensor Networks" @default.
- W2368609675 hasPublicationYear "2013" @default.
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