Advertisement

Routing Model Based on Service Degree and Residual Energy in WSN

  • Zhenzhen Sun
  • Wenlong ChenEmail author
  • Xiaolan Tang
  • Guangwu Hu
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 201)

Abstract

Energy constraint of sensor nodes is a key problem in WSN. Energy-based routing mechanism can significantly prolong the lifetime of sensor networks, but the current researches do not consider the number of service objects of a senor node. In this paper, we propose a routing model based on service degree and residual energy, named SERM. We put forward the node service degree to represent the service scale of some node, and the path service efficiency to show the path’s service capability. Then, a multi-path transmission system of wireless sensor networks is designed based on the 2-dimension: the service degree and the residual energy of nodes. Finally, the simulation experiments using OPNET prove that SERM can prolong the network lifetime and collect more sensor data.

Keywords

Service degree Service efficiency Residual energy Lifetime 

Notes

Acknowledgment

This research is supported by the National Natural Science Foundation of China (Nos.61373161, 61502320, 61300171), Youth Backbone of Beijing Outstanding Talent Training Project (No. 2014000020124G133), and the Fundamental Research Project of Shenzhen Municipality (No.JCYJ20160228172531429).

References

  1. 1.
    Liu, M., Cao, J.N., Zheng, Y., Chen, L.J., Xie, L.: Analysis for multi-coverage problem in wireless sensor networks. J. Softw. 18(1), 127–136 (2007)CrossRefzbMATHGoogle Scholar
  2. 2.
    Kaur, R., et al.: Optimized cluster based deployment of sensor nodes to enhance the network lifetime in wireless sensor network. In: Fifth International Conference on Advanced Computing & Communication Technologies (ACCT), pp. 658–665. IEEE Computer Society (2015)Google Scholar
  3. 3.
    Yao, Y., Cao, Q., Vasilakos, A.V.: EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks. IEEE/ACM Trans. Netw. 23(6), 810–823 (2015)CrossRefGoogle Scholar
  4. 4.
    Lee, A., Ra, I.: Adaptive-gossiping for an energy-aware routing protocol in wireless sensor networks. In: International Conference on Wireless Communications & Mobile Computing, pp. 1131–1135. ACM (2010)Google Scholar
  5. 5.
    Rachamalla, S., Kancharla, A.S.: Power-control delay-aware routing and MAC protocol for wireless sensor networks. In: IEEE International Conference on Networking, Sensing & Control, pp. 527–532 (2015)Google Scholar
  6. 6.
    Zaman, N., Low, T.J., Alghamdi, T.: Enhancing routing energy efficiency of wireless sensor networks. In: International Conference on Advanced Communication Technology (ICACT), pp. 587–595. IEEE (2015)Google Scholar
  7. 7.
    Chang, J.H., Tassiulas, L.: Maximum lifetime routing in wireless sensor networks. IEEE/ACM Trans. Netw. 12(4), 609–619 (2004)CrossRefGoogle Scholar
  8. 8.
    Han, K.H., Ko, Y.B., Kim, J.H.: A novel gradient approach for efficient data dissemination in wireless sensor networks. In: IEEE Vehicular Technology Conference, pp. 2979–2983 (2004)Google Scholar
  9. 9.
    Chiang, S.S., Huang, C.H., Chang, K.C.: A minimum hop routing protocol for home security systems using wireless sensor networks. IEEE Trans. Consum. Electron. 53(4), 1483–1489 (2007)CrossRefGoogle Scholar
  10. 10.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., et al.: Wireless sensor networks: A survey. Comput. Netw. 38(4), 393–422 (2002)CrossRefGoogle Scholar
  11. 11.
    Wang, W., Li, Y., Li, H.S., et al.: The analysis of link availability for directional routing in mobile ad hoc network. In: International Conference on Computer Application and System Modeling (ICCASM), pp. 353–356. IEEE (2010)Google Scholar
  12. 12.
    Shah, R.C., Rabaey, J.M.: Energy aware routing for low energy ad hoc sensor networks.In: Wireless Communications and Networking Conference, pp. 350–355. IEEE (2002)Google Scholar
  13. 13.
    Wei, M., Huang, X., Wu, C., et al.: Network coding based energy-efficient multi-path routing for wireless sensor network. In: International Conference on Advances in Mobile Computing & Multimedia, pp. 240–244. ACM (2012)Google Scholar
  14. 14.
    Qi, X.G., Wang, H.F., Zheng, G.Z., Xie, M.D., Duan, L.: Analysis on resilience of wireless sensor networks growth model. J. Softw. 25(1), 131–138 (2014). (in Chinese)Google Scholar
  15. 15.
    Mak, N.H., Seah, W.K.G.: How long is the lifetime of a wireless sensor network? In: International Conference on Advanced Information Networking & Applications, pp. 763–770. IEEE (2009)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Zhenzhen Sun
    • 1
  • Wenlong Chen
    • 1
    Email author
  • Xiaolan Tang
    • 1
  • Guangwu Hu
    • 2
  1. 1.School of Information EngineeringCapital Normal UniversityBeijingChina
  2. 2.Graduate School at ShenzhenTsinghua UniversityShenzhenChina

Personalised recommendations