An Energy-aware Routing Protocol Based on Network Coding for Wireless Sensor Networks

Conference paper
First Online:
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 237)

Abstract

In this paper, an energy-aware routing protocol based on network coding (NCEAR) is presented for wireless sensor networks which the energy is constrained. First, considering the rate matching problem of data flows, NCEAR adopts the distributed network coding to calculate the transmission cost of nodes, which reduces the energy consumption. In addition, NCEAR is capable of predicting the congestion degree of nodes through the energy consumption speed, thus balancing the network traffic. What’s more, in order to reduce the probability of link failure and the number of routing maintenance, the protocol takes nodes with the minimum residual energy into consideration and sets the minimum threshold. The simulation results show that compared with other protocols, NCEAR can effectively reduce energy consumption of the transmission, balance the network energy and traffic, prolong the network lifetime and improve the throughput.

Keywords

Energy-aware Network coding Wireless sensor networks 
This is a preview of subscription content, log in to check access

Notes

Acknowledgments

This work was supported by NSFC (No. 61372069), “111" project (No. B08038) and the Fundamental Research Funds for the Central Universities.

References

  1. 1.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., et al.: Wireless sensor networks: a survey. Comput. Netw. Int. J. Comput. Telecommun. Netw. 38(4), 393–422 (2002)Google Scholar
  2. 2.
    Perkins, C., Belding-Royer, E., Das, S.: Ad hoc on-demand distance vector (AODV) Routing. RFC Editor (2003)Google Scholar
  3. 3.
    Johnson, D.B.: The dynamic source routing protocol for mobile ad hoc networks (2007). draft-ietf-manet-dsr-09.txt
  4. 4.
    Ahlswede, R., Cai, N., Li, S.Y.R., et al.: Network information flow. IEEE Trans. Inf. Theory 46(4), 1204–1216 (2000)MathSciNetCrossRefMATHGoogle Scholar
  5. 5.
    Wang, H., Xie, H., Qiu, L., et al.: COPE: traffic engineering in dynamic networks. In: Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, pp. 99–110. ACM (2006)Google Scholar
  6. 6.
    Gu, Y., Han, H., Li, X., et al.: Network coding-aware routing protocol in wireless mesh networks. J. Tsinghua Univ. (Nat. Sci. Ed.) 20(1), 40–49 (2015)Google Scholar
  7. 7.
    Zhenzhao, W., Zhijie, C., Wenling, X.: Energy aware routing strategy based on network coding for ad hoc networks. J. Comput. Sci. 43(7), 106–110 (2016)Google Scholar
  8. 8.
    Le, J., Lui, J.C.S., Chiu, D.M.: DCAR: distributed coding-aware routing in wireless networks. IEEE Trans. Mob. Comput. 9(4), 596–608 (2010)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.State Key Laboratory of Integrated Service NetworksXidian UniversityXi’anChina

Personalised recommendations