Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

SpringerLink
Log in

A Novel Approach to Optimize Power Consumption in Orchard WSN: Efficient Opportunistic Routing

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In orchard wireless sensor networks (WSN) application, the network link quality is unstable due to the shielding effect caused by the growth of branches and leaves. Aiming at the energy constrains of orchard WSN, an expecting lowest-residue-energy maximization opportunistic routing (ELMOR) method is proposed. The method combined link connective probability to forwarding list construction optimization so that, one-hop transmission success rate and the balance of network energy consumption are taken into account during the forwarding list construction. In order to improve the energy balance between network nodes, the opportunistic path is chosen not only considering the transmission cost but also lowest node energy. In this paper, we also proposed an efficient/reliable topology management opportunistic routing which considers Packet Drop Rate with considering network interference and energy loss. Through extensive performance evaluation, results show that the one hop power consumption of ExOR (extremely opportunistic routing) is about 3 times of EEOR (Energy Efficient Opportunistic Routing), 4 times of ELMOR (Expecting Lowest-residue energy Maximization Opportunistic Routing), with a 60% one-hop link success rate. The end-to-end power consumption of ExOR is about 1.3 times of EEOR and 1.4 times of ELMOR. In addition, according to achieved results, network performance significantly improved.

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
$34.99 /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 excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Sudha, M. N., Valarmathi, M. L., & Babu, A. S. (2011). Energy efficient data transmission in automatic irrigation system using wireless sensor networks. Computers and Electronics in Agriculture, 78(2), 215–221.

    Article  Google Scholar 

  2. Anisi, M. H., Abdul-Salaam, G., & Abdullah, A. H. (2015). A survey of wireless sensor network approaches and their energy consumption for monitoring farm fields in precision agriculture. Precision Agriculture, 16(2), 216–238.

    Article  Google Scholar 

  3. Zhu, L., Fan, C., Wen, Z., et al. (2016). Coverage optimization strategy for WSN based on Energy-aware. International Journal of Computers Communications & Control, 11(6), 877–888.

    Article  Google Scholar 

  4. Mohamad M. M. and Kheirabadi M. T. (2016) Energy efficient opportunistic routing algorithm for underwater sensor network: a review. In IEEE International Conference on Science in Information Technology, 26–27 Oct. 2016 (pp. 41–46).

  5. Kumar N. and Singh Y. (2016) An energy efficient and trust management based opportunistic routing metric for wireless sensor networks. In IEEE Fourth International Conference on Parallel, Distributed and Grid Computing, 22–24 Dec. 2016 (pp. 611–616).

  6. Wu, H., Miao, Y., Li, F., et al. (2016). Empirical modeling and evaluation of multi-path radio channels on wheat farmland based on communication quality. Transactions of the ASABE, 59(3), 759–767.

    Article  Google Scholar 

  7. Wu, H., Zhang, L., & Miao, Y. (2017). The propagation characteristics of radio frequency signals for wireless sensor networks in large-scale farmland. Wireless Personal Communications, 95, 1–18.

    Article  Google Scholar 

  8. Jadhav, P., & Rachna, S. P. (2016). A survey on opportunistic routing protocols for wireless sensor networks. Procedia Computer Science, 79, 603–609.

    Article  Google Scholar 

  9. Tian, K., Zhang, B., Ma, J., et al. (2010). Opportunistic routing protocols for wireless multihop networks. Journal of Software, 21(10), 2542–2553.

    Google Scholar 

  10. Mao, X., Tang, S., Xu, X., et al. (2011). Energy-efficient opportunistic routing in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(11), 1934–1942.

    Article  Google Scholar 

  11. Zhao, M., Kumar, A., Chong, P. H. J., et al. (2017). A reliable and energy-efficient opportunistic routing protocol for dense lossy networks. IEEE Wireless Communications Letters, 99, 1–1.

    Google Scholar 

  12. Luo, J., Hu, J., Wu, D., et al. (2015). Opportunistic routing algorithm for relay node selection in wireless sensor networks. IEEE Transactions on Industrial Informatics, 11(1), 112–121.

    Article  Google Scholar 

  13. Zikria, Y. B., Nosheen, S., Choi, J. G., et al. (2015). Heuristic approach to select opportunistic routing forwarders (HASORF) to enhance throughput for wireless sensor networks. Journal of Sensors, 2015, 1–10.

    Article  Google Scholar 

  14. Salehi, M., Boukerche, A., & Darehshoorzadeh, A. (2016). Modeling and performance evaluation of security attacks on opportunistic routing protocols for multihop wireless networks. Ad Hoc Networks, 50, 88–101.

    Article  Google Scholar 

  15. Guo, X., Zhao, C., Yang, X., et al. (2012). Propagation characteristics of 2.4 GHz wireless channel at different heights in apple orchard. Transactions of the Chinese Society of Agricultural Engineering, 28(12), 195–200.

    Google Scholar 

  16. Guo, C., Han, W., & Yi, W. (2014). Loss research on wireless sensor network signal transmission in persimmon orchard. Transactions of the Chinese Society of Agricultural Engineering, 30(15), 214–221.

    Google Scholar 

  17. Yue, X., Wang, Y., Hong, T., et al. (2013). WSN layout experiment based on radio frequency propagation tests in citrus orchard. Transactions of the Chinese Society for Agricultural Machinery, 44(5), 213–218.

    Google Scholar 

  18. Hu, H. F., & Yang, Z. (2009). Collaborative opportunistic routing in wireless sensor networks. Journal on Communications, 30(8), 116–120.

    Google Scholar 

  19. Darehshoorzadeh A., Boukerche A. (2014) An efficient heuristic candidate selection algorithm for opportunistic routing in wireless multihop networks. In 2014 IEEE Symposium on Computers and Communication (pp. 1–6).

  20. Xiong, N., Huang, X., Cheng, H., et al. (2013). Energy-efficient algorithm for broadcasting in ad hoc wireless sensor networks. Sensors, 13(4), 4922–4946.

    Article  Google Scholar 

  21. S. Biswas, R. Morris (2005) ExOR: opportunistic multi-hop routing for wireless networks. In Proceeding of the 2005 conference on Applications technologies, architectures, and protocols for computer communications, August. 2005, NY, USA (pp 133–144).

  22. W.L. Rodolfo, A. Boukerche, F.M. Luiz, and A.F.L. Antonio (2014) Transmission power control-based opportunistic routing for wireless sensor networks,” In Proceedings of the 17th ACM international conference on Modeling, Analysis and simulation of wireless and Mobile Systems. Montreal, Canada, September. 2014 (pp: 219–226).

  23. Mao, X., Tang, S., Xu, X., Li, X. Y., & Ma, H. (2011). Energy efficient opportunistic routing in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(11), 1934–1942.

    Article  Google Scholar 

  24. Sahin, D., Gungor, V. C., Kocak. T., & Tuna, G. (2014). Quality-of-service differentiation in single-path and multi-path routing for wireless sensor network-based smart grid applications. Ad Hoc Networks, 22, 43–60.

    Article  Google Scholar 

  25. Kebkal, K. G., Kebkal, A. G., & Yakovlev, S. G. (2004). A frequency-modulated-carrier digital communication technique for multipath underwater acoustic channels. Acoustical Physics, 50(2), 177–184.

    Article  Google Scholar 

  26. Coates, R. W., & Delwiche, M. J. (2009). Wireless mesh network for irrigation control and sensing. Transactions of the ASABE, 52(3), 971–981.

    Article  Google Scholar 

  27. Padhye, J., Agarwal, S., Padmanabhan, V. N., Qiu, L., Rao, A., & Zill, B. (2006). Estimation of link interference in static multi-hop wireless networks. In Proceedings of the 5th ACM SIGCOMM conference on internet measurement (pp. 28–28). USENIX Association.

  28. Mao, X., Li, X.-Y., Song, W.-Z., Xu, P., & Moaveni-Nejad, K. (2009). Energy efficient opportunistic routing in wireless networks. In Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems (pp. 253–260). ACM.

  29. Lou, C., & Zhuang, W. (2016). Energy-efficient routing over coordinated sleep scheduling in wireless ad hoc networks. Peer-to-peer networking and applications, 9(2), 384–396.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Key Lab of Earth Exploration and Information Techniques of Ministry of Education, Chengdu University of Technology, Chengdu, 610059, China

    Saimin Zhang

  2. Department of Information and Communications Technology, Malek Ashtar University of Technology, Tehran, Iran

    Mojtaba Madadkhani

  3. PhD in Industrial Engineering, Yazd University, Yazd, Iran

    Mehdi Shafieezadeh

  4. Department of Computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Abbas Mirzaei

Authors
  1. Saimin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mojtaba Madadkhani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mehdi Shafieezadeh
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Abbas Mirzaei
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Abbas Mirzaei.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, S., Madadkhani, M., Shafieezadeh, M. et al. A Novel Approach to Optimize Power Consumption in Orchard WSN: Efficient Opportunistic Routing. Wireless Pers Commun 108, 1611–1634 (2019). https://doi.org/10.1007/s11277-019-06487-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06487-8

Keywords

Search

Navigation