Wireless Networks

, Volume 25, Issue 6, pp 3103–3113 | Cite as

Opportunistic routing with data fusion for multi-source wireless sensor networks

  • Jianyu LiEmail author
  • Xinchun Jia
  • Xiaojun Lv
  • Zongyuan Han
  • Jiankang Liu
  • Jun Hao


This paper proposes an opportunistic routing with data fusion (ORDF) protocol for the widely used multi-source wireless sensor networks in which the spatial-temporal correlation among sensory data is ubiquitous. In the ORDF protocol, a new routing metric, which considers the data fusion and expected any-path transmissions, is presented to select a next-hop forwarding node that could save the maximal amount of energy. A candidate set selection algorithm is proposed to find the optimal candidate set of each node. An ACK-based coordination method among candidates is also given for the design of the ORDF protocol. Simulation results show that the ORDF protocol can greatly improve the network lifetime and reduce the network delay compared to general opportunistic routing protocol, such as ExOR, EEOR and OAPF. With increase of the number of source nodes, the ORDF protocol has more significant advantages in prolonging the network lifetime and reducing the network delay.


Opportunistic routing with data fusion (ORDF) Multi-source wireless sensor networks (MSWSNs) Data fusion Routing metric ACK-based coordination 



This work was supported by National Natural Science Foundation of China under Grant U1334210 and China Academy of Railway Sciences Foundation under Grant 2016YJ109.


  1. 1.
    Banu, M. B., & Periyasamy, P. (2013). A survey of unipath routing protocols for mobile ad hoc networks. International Journal of Information Technology and Computer Science (IJITCS), 6(1), 57–67.CrossRefGoogle Scholar
  2. 2.
    Sanjit, B., & Robert, M. (2005). ExOR: opportunistic multi-hop routing for wireless networks. ACM Sigcomm Computer Communication Review, 35(4), 133–144.CrossRefGoogle Scholar
  3. 3.
    Azzedine, B., & Amir, D. (2014). Opportunistic routing in wireless networks: Models, algorithms, and classifications. ACM Computing Surveys, 47(2), 1–36.Google Scholar
  4. 4.
    Nessrine, C. (2015). A survey on opportunistic routing in wireless communication networks. IEEE Communication Surveys & Tutorials, 17(4), 2214–2241.CrossRefGoogle Scholar
  5. 5.
    Lu, M. & Wu, J. (2009). Opportunistic routing algebra and its applications. In Proceedings of the IEEE conference on computer communications (INFOCOM), pp. 2374C2382.Google Scholar
  6. 6.
    Zhong, Z. & Nelakuditi, S. (2007). On the efficacy of opportunistic routing, sensor, mesh and ad hoc communications and networks. In Proceeding of IEEE conference on communications society, pp. 441–450.Google Scholar
  7. 7.
    Mao, X. F., Tang, S. J., Tang, Xu X H, Li, X. Y., & Ma, H. D. (2011). Energy-efficient opportunistic routing in wireless sensor networks. IEEE Transaction on Parallel and Distributed Systems, 22(11), 1934–1942.CrossRefGoogle Scholar
  8. 8.
    Qin, Y., Li, L., Zhong, X. X., Yang, Y. Y., & Ye, Y. B. (2015). Opportunistic routing with admission control in wireless ad hoc networks. Computer Communications, 55, 32–40.CrossRefGoogle Scholar
  9. 9.
    Luo, H., Tao, H. X., Ma, H. D., & Das, S. K. (2011). Data fusion with desired reliability in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(3), 501–513.CrossRefGoogle Scholar
  10. 10.
    Zhang, Z. J., Lai, C. F., & Chao, H. C. (2014). A green data transmission mechanism for wireless multimedia sensor networks using information fusion. IEEE Wireless Communication, 21(4), 14–19.CrossRefGoogle Scholar
  11. 11.
    Kreibich, O., Neuzil, J., & Smid, R. (2014). Quality-based multiple-sensor fusion in an industrial wireless sensor network for MCM. IEEE Transactions on Industrial Electronics, 61(9), 4903–4911.CrossRefGoogle Scholar
  12. 12.
    Barnett, J. A. (2008). Computational methods for a mathematical theory of evidence. In Proceeding of international joint conference on artificial intelligence, pp. 868–875.Google Scholar
  13. 13.
    Ma, H. D., Zhao, D., & Yuan, P. Y. (2014). Opportunities in mobile crowd sensing. IEEE Communications Magazine, 52(8), 29–35.CrossRefGoogle Scholar
  14. 14.
    Zhao, D., Ma, H. D., Tang, S. J., & Li, X. Y. (2015). COUPON: A cooperative framework for building sensing maps in mobile opportunistic networks. IEEE Transactions on Parallel and Distributed Systems, 26(2), 392–402.CrossRefGoogle Scholar
  15. 15.
    So, J., & Byun, H. J. (2014). Opportunistic routing with in-network aggregation for asynchronous duty-cycled wireless sensor networks. Wireless Networks, 20(5), 833–846.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Computing TechnologyChina Academy of Railway SciencesBeijingChina
  2. 2.School of Mathematical SciencesShanxi UniversityTaiyuanChina

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