Skip to main content
Log in

Energy-balanced clustering protocol for data gathering in wireless sensor networks with unbalanced traffic load

  • Published:
Journal of Central South University Aims and scope Submit manuscript

Abstract

Energy-efficient data gathering in multi-hop wireless sensor networks was studied, considering that different node produces different amounts of data in realistic environments. A novel dominating set based clustering protocol (DSCP) was proposed to solve the data gathering problem in this scenario. In DSCP, a node evaluates the potential lifetime of the network (from its local point of view) assuming that it acts as the cluster head, and claims to be a tentative cluster head if it maximizes the potential lifetime. When evaluating the potential lifetime of the network, a node considers not only its remaining energy, but also other factors including its traffic load, the number of its neighbors, and the traffic loads of its neighbors. A tentative cluster head becomes a final cluster head with a probability inversely proportional to the number of tentative cluster heads that cover its neighbors. The protocol can terminate in O(n/lg n) steps, and its total message complexity is O(n 2/lg n). Simulation results show that DSCP can effectively prolong the lifetime of the network in multi-hop networks with unbalanced traffic load. Compared with EECT, the network lifetime is prolonged by 56.6% in average.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. ESTRIN D, GIROD L, POTTIE G, SRIVASTAVA M. Instrumenting the world with wireless sensor networks [C]// Proc of the Int’l Conf on Acoustics, Speech, and Signal Processing (ICASSP 2001). Salt Lake City, UT, USA, 2001: 2033–2036.

  2. LI J Z, GAO H, Survey on sensor network research [J]. Journal of Computer Research and Development, 2008, 45(1): 1–15.

    Google Scholar 

  3. TAN Chang-geng, XU Ke, WANG Jian-xin, CHEN Song-qiao. A sink moving scheme based on local residual energy of nodes in wireless sensor networks [J]. Journal of Central South University of Technology, 2009, 16(2): 265–268.

    Article  Google Scholar 

  4. GAO S, ZHANG H K. Optimal path selection for mobile sink in delay-guaranteed sensor networks [J]. Acta Electronica Sinica, 2011, 39(4): 742–747.

    Google Scholar 

  5. AKYILDIZ L F, SU W, SANKARASUBRAMANIAM Y. A survey on sensor networks [J]. IEEE Communications, 2002, 40(8): 102–114.

    Article  Google Scholar 

  6. LIU M, CAO J N, CHEN G H, CHEN L J, WANG X M, GONG H G. EADEEG: An energy-aware data gathering protocol for wireless sensor networks [J]. Journal of Software, 2007, 18(5): 1092–1109.

    Article  Google Scholar 

  7. ZHOU X L, WU M, XU J B. BPEC: An energy-aware distributed clustering algorithm in WSNs [J]. Journal of Computer Research and Development, 2009, 46(5): 723–730.

    Google Scholar 

  8. YOUNIS O, FAHMY S. HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks [J]. IEEE Transactions on Mobile Computing, 2004, 3(4): 366–379.

    Article  Google Scholar 

  9. HEINZELMAN W, CHANDRAKASAN A, BALAKRISHNAN H. Energy-efficient communication protocol for wireless microsensor networks [C]// Proc of the 33rd Annual Hawaii International Conference on System Sciences. Maui, HI, USA: IEEE Computer Society, 2000: 3005–3014.

    Google Scholar 

  10. LIU X H, LI F M, KUANG H L, FANG Y L. A distributed and directed clustering algorithm based on load balance for wireless sensor network [J]. Journal of Computer Research and Development, 2009, 46(12): 2044–2052.

    Google Scholar 

  11. YANG J, ZHANG D Y, ZHANG Y Y, WANG Y. Cluster-based data aggregation and transmission protocol for wireless sensor networks [J]. Journal of Software, 2010, 21(5): 1127–1137.

    Article  Google Scholar 

  12. WEI Da-li, NAVARATNAM P, GLUHAK A, TAFAZOLLI R. energy-efficient clustering for wireless sensor networks with unbalanced traffic load [C]// Proc of the IEEE Wireless Communications and Networking Conference (WCNC 2010). Sydney, NSW, Australia, 2010: 250–256.

  13. ALBATH J, THAKUR M, MADRIA S. Energy Constrained dominating set for clustering in wireless sensor networks [C]// Proc of 24th IEEE International Conference on Advanced Information Networking and Applications (AINA 2010). 2010.

  14. KIM Dongh-yun, WANG Wei, LI Xian-yue, ZHANG Zhao, WU Wei-li. A new constant factor approximation for computing 3-connected m-dominating sets in homogeneous wireless networks [C]// Proc of The 29th IEEE Conference on Computer Communications (INFOCOM 2010). San Diego, CA, USA, 2010: 1–9.

  15. DING Ling, GAO Xiao-feng, WU Wei-li, LEE Won-jun, ZHU Xu, DU Ding-zhu. Distributed construction of connected dominating sets with minimum routing cost in wireless networks [C]// IEEE 30th International Conference on Distributed Computing Systems (ICDCS 2010). Genova, Italy, 2010: 448–457.

  16. MHATRE V P, ROSENBERG C, KOFMAN D, MAZUMDAR R, SHROFF N. A minimum cost heterogeneous sensor network with a lifetime constraint [J]. IEEE Transactions on Mobile Computing, 2005, 4(1): 4–15.

    Article  Google Scholar 

  17. LONG Jun, GUI Wei-hua. Node deployment strategy optimization for wireless sensor network with mobile base station [J]. Journal of Central South University of Technology, 2012, 19(2): 453–458.

    Article  Google Scholar 

  18. MHATRE V, ROSENBERG K. Design guidelines for wireless sensor networks: Communication, clustering and aggregation [J]. Ad Hoc Network Journal, 2004, 2(1): 45–63.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian-xin Wang  (王建新).

Additional information

Foundation item: Projects(61173169, 61103203) supported by the National Natural Science Foundation of China; Project(NCET-10-0798) supported by the Program for New Century Excellent Talents in University of China; Project supported by the Post-doctoral Program and the Freedom Explore Program of Central South University, China

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kui, Xy., Wang, Jx. & Zhang, Sg. Energy-balanced clustering protocol for data gathering in wireless sensor networks with unbalanced traffic load. J. Cent. South Univ. 19, 3180–3187 (2012). https://doi.org/10.1007/s11771-012-1393-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11771-012-1393-7

Key words

Navigation