Movatterモバイル変換

[0]ホーム
URL:

Skip to main content
Springer Nature Link
Log in

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

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

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.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  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.

    Article  Google Scholar 

  2. Sanjit, B., & Robert, M. (2005). ExOR: opportunistic multi-hop routing for wireless networks.ACM Sigcomm Computer Communication Review,35(4), 133–144.

    Article  Google Scholar 

  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. Nessrine, C. (2015). A survey on opportunistic routing in wireless communication networks.IEEE Communication Surveys & Tutorials,17(4), 2214–2241.

    Article  Google Scholar 

  5. Lu, M. & Wu, J. (2009). Opportunistic routing algebra and its applications. InProceedings of the IEEE conference on computer communications (INFOCOM), pp. 2374C2382.

  6. Zhong, Z. & Nelakuditi, S. (2007). On the efficacy of opportunistic routing, sensor, mesh and ad hoc communications and networks. InProceeding of IEEE conference on communications society, pp. 441–450.

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  12. Barnett, J. A. (2008). Computational methods for a mathematical theory of evidence. InProceeding of international joint conference on artificial intelligence, pp. 868–875.

  13. Ma, H. D., Zhao, D., & Yuan, P. Y. (2014). Opportunities in mobile crowd sensing.IEEE Communications Magazine,52(8), 29–35.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

Download references

Acknowledgements

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

Author information

Authors and Affiliations

  1. Institute of Computing Technology, China Academy of Railway Sciences, Beijing, China

    Jianyu Li, Xiaojun Lv & Zongyuan Han

  2. School of Mathematical Sciences, Shanxi University, Taiyuan, China

    Xinchun Jia, Jiankang Liu & Jun Hao

Authors
  1. Jianyu Li

    You can also search for this author inPubMed Google Scholar

  2. Xinchun Jia

    You can also search for this author inPubMed Google Scholar

  3. Xiaojun Lv

    You can also search for this author inPubMed Google Scholar

  4. Zongyuan Han

    You can also search for this author inPubMed Google Scholar

  5. Jiankang Liu

    You can also search for this author inPubMed Google Scholar

  6. Jun Hao

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toJianyu Li.

Rights and permissions

About this article

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Advertisement

[8]ページ先頭
©2009-2025 Movatter.jp