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author:

Chen, L. (Chen, L..) [1] | Yang, D. (Yang, D..) [2] | Xu, Z. (Xu, Z..) [3] | Chen, C. (Chen, C..) [4]

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Scopus

Abstract:

Dynamic clustering provides a scalable and energy efficient solution for data transmission in wireless sensor networks. Observing the fact that the cluster reorganization can not solve the problem of imbalanced energy consumption in the inter-cluster communication, we propose an adaptive routing strategy for cluster-based wireless sensor networks (ARC). The goal of ARC is to balance the energy consumption of nodes by adaptively controlling the modes of inter-cluster routing. In ARC, an adaptive energy threshold and a tunable cost function are designed for cluster heads to make routing decisions. Simulation results demonstrate that ARC effectively balances the energy consumption in the inter-cluster communication, and hence improves the energy efficiency and prolongs the network lifetime. © 2015 IEEE.

Keyword:

Adaptive Routing; Dynamic Clustering; Energy Efficiency; Wireless Sensor Networks

Community:

  • [ 1 ] [Chen, L.]School of Electrial Engineering and Automation, Fuzhou University, Fuzhou, 350000, China
  • [ 2 ] [Chen, L.]Fujian Key Laboratory of Industrial Control Information Security Technology, Fuzhou, 350000, China
  • [ 3 ] [Yang, D.]School of Electrial Engineering and Automation, Fuzhou University, Fuzhou, 350000, China
  • [ 4 ] [Xu, Z.]School of Electrial Engineering and Automation, Fuzhou University, Fuzhou, 350000, China
  • [ 5 ] [Xu, Z.]Fujian Key Laboratory of Industrial Control Information Security Technology, Fuzhou, 350000, China
  • [ 6 ] [Chen, C.]School of Electrical, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

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Source :

Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

Year: 2015

Page: 5224-5229

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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