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An HEED-Based Study of Cell-Clustered Algorithm in Wireless Sensor Network for Energy Efficiency

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Abstract

Unbalanced energy consumption of sensor nodes in wireless sensor network (WSN) leads to the formation of hotspots that can shorten network lifetime. Based on the study of hybrid energy-efficient distributed (HEED) clustering, a cell-clustered algorithm for energy efficiency (CC-HEED) is proposed to save the limited network energy in WSN. According to the power consumption model, the inner cluster regions in this hierarchy network are further divided into several cell-shaped areas, in which cell nodes are brought out to assemble the data in each cell area. In addition, comparisons are performed on network lifetime with other traditional routing algorithms to verify the validity of the routing protocol. Simulation results show that the proposed CC-HEED can significantly reduce energy consumption in WSN, and network lifetime is prolonged notably with high energy efficiency.

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References

  1. André, R., Alok, S., & Marc, S. (2013). Lifetime maximization in wireless directional sensor network. European Journal of Operational Research, 231, 229–241.

    Article  Google Scholar 

  2. Li, B. Y., & Chuang, P. J. (2013). Geographic energy-aware non-interfering multipath routing for multimedia transmission in wireless sensor networks. Information Sciences, 249, 24–37.

    Article  Google Scholar 

  3. Yu, J. G., Deng, X., & Yu, D. X. (2013). CWSC: Connected k-coverage working sets construction algorithm in wireless sensor networks. International Journal of Electronics and Communication, 67, 937–946.

    Article  Google Scholar 

  4. Zhang, P. F., Xiao, G. X., & Tan, H. P. (2013). Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors. Computer Networks, 57, 2689–2704.

    Article  Google Scholar 

  5. Senouci, M. R., Mellouk, A., & Senouci, H. (2012). Performance evaluation of network lifetime distribution for WSN routing. Journal of Network and Computer Applications, 35(4), 1317–1328.

  6. Wang, H., Ren, W., & Cui, Y. (2012). An adaptive WSN node tracking algorithm based on rough-set neural network. Procedia Engineering, 29, 1750–1754.

  7. Wang, Z., Wang, Y. L., & Ma, M. D. (2013). Efficient localization for mobile sensor networks based on constraint rules optimized Monte Carlo method. Computer Networks, 57, 2788–2801.

    Article  Google Scholar 

  8. Stojmenovic, I., & Lin, X. (2001). Power-aware localized routing in wireless networks. IEEE Transactions on Parallel and Distributed Systems, 12, 1122–1133.

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the Natural Science Foundation of Jiangsu Province (BK20130977), the Natural science foundation for colleges and universities in Jiangsu Province (13KJB580007) and Graduate Innovation Funding Project of Jiangsu Province (KYLX_0867) for partly funding this project.

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Authors and Affiliations

  1. College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, 210037, China

    Guangbing Xiao, Ning Sun, Liya Lv & Jianxiao Ma

  2. College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, 210037, China

    Yong Chen

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  1. Guangbing Xiao
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  2. Ning Sun
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  3. Liya Lv
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  4. Jianxiao Ma
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  5. Yong Chen
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Correspondence to Yong Chen.

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Xiao, G., Sun, N., Lv, L. et al. An HEED-Based Study of Cell-Clustered Algorithm in Wireless Sensor Network for Energy Efficiency. Wireless Pers Commun 81, 373–386 (2015). https://doi.org/10.1007/s11277-014-2134-z

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  • DOI: https://doi.org/10.1007/s11277-014-2134-z

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