Volume 45 Issue 1
Jan.  2019
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LIU Wei, DU Jiahong, JIA Suling, et al. Energy efficient clustering routing protocol for wireless sensor networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(1): 50-56. doi: 10.13700/j.bh.1001-5965.2018.0251(in Chinese)
Citation: LIU Wei, DU Jiahong, JIA Suling, et al. Energy efficient clustering routing protocol for wireless sensor networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(1): 50-56. doi: 10.13700/j.bh.1001-5965.2018.0251(in Chinese)

Energy efficient clustering routing protocol for wireless sensor networks

doi: 10.13700/j.bh.1001-5965.2018.0251
Funds:

National Key R & D Program of China 2017YFB1002000

Aeronautical Science Foundation of China 

National Natural Science Foundation of China 61502320

Science Foundation of Shenzhen City in China JCYJ20160419152942010

More Information
  • Corresponding author: PU Juhua, E-mail: pujh@cqjj8.com
  • Received Date: 02 May 2018
  • Accepted Date: 28 Jul 2018
  • Publish Date: 20 Jan 2019
  • Wireless sensor networks (WSNs) have attracted extensive attention due to their wide range of potential applications. Network energy conservation, energy consumption reduction and lifetime extension are problems which must be solved. In this paper, some concrete analyses on the typical clustering protocols have been made, and based on the comparative study, an energy efficient clustering routing protocol——BCCP based on node correlation for wireless sensor networks is proposed. With the use of node location correlation and residual energy, energy consumption balancing algorithm reduces clustering iteration times. Then uniform distribution of cluster head nodes is obtained and communication energy consumption between cluster head nodes and member nodes is reduced. Therefore, the algorithm reduces energy consumption of network. With the use of data similarity and cooperative correlation among nodes, energy consumption reduction algorithm reduces data traffic of internal-cluster and external-cluster communication. Therefore, the algorithm reduces energy consumption of network. The experimental results show that BCCP has a distinct advantage in balancing, number of live nodes and reducing energy consumption comparing to other current methods.

     

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