Skip to main content

Prolong the Network Lifetime of Wireless Underground Sensor Networks by Optimal Relay Node Placement

  • Conference paper
  • First Online:
Applications of Evolutionary Computation (EvoApplications 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11454))

Abstract

Wireless Underground Sensor Networks (WUSNs) have received attention in the past years because of their popularity and cost-effectiveness when they are used in many practical fields such as military applications, environmental applications, and home applications. In WUSNs, sensors are deployed with limited power, once their power is out of, the sensors are ineffectual. The extension of the network’s lifetime is a critical issue in WUSNs, making it a topic of much interest in research. Several approaches have been proposed to keep the sensor nodes active, one of which is deploying relay nodes above ground to transfer data from sensor nodes to the base station. However, this method has faced issues, such as balancing the load of relay nodes and the increased transmission loss between relay nodes and sensor nodes. This paper addresses this concern and proposes two heuristics named Beam Genitor Search and Connection Swap for the relay node placement problem to guarantee load balance among relay nodes and maximize network lifetime. Our experiments show that the proposed methods result in significantly better quality solutions (longer network lifetime) for the problem when compared to the existing methods.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Akyildiz, I.F., et al.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)

    Article  Google Scholar 

  2. Yetgin, H., et al.: A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Commun. Surv. Tutorials 19(2), 828–854 (2017)

    Article  Google Scholar 

  3. Chen, Y., Zhao, Q.: On the lifetime of wireless sensor networks. IEEE Commun. Lett. 9(11), 976–978 (2005)

    Article  Google Scholar 

  4. Dietrich, I., Dressler, F.: On the lifetime of wireless sensor networks. ACM Trans. Sen. Netw. 5(1), 5:1–5:39 (2009). ISSN: 1550-4859

    Google Scholar 

  5. Yuan, B., Chen, H., Yao, X.: Optimal relay placement for lifetime maximization in wireless underground sensor networks. Inf. Sci. 418, 463–479 (2017)

    Article  Google Scholar 

  6. Abu-Baker, A., et al.: Maximizing \(\alpha \)-lifetime of wireless sensor networks with solar energy sources. In: Military Communications Conference 2010-MILCOM, pp. 125–129. IEEE (2010)

    Google Scholar 

  7. Bari, A.: Relay Nodes in Wireless Sensor Networks: A Survey. University of Windsor (2005)

    Google Scholar 

  8. Lloyd, E.L., Xue, G.: Relay node placement in wireless sensor networks. IEEE Trans. Comput. 56(1), 134–138 (2007)

    Article  MathSciNet  Google Scholar 

  9. Di Caro, G.A., Feo Flushing, E.: Optimal relay node placement for throughput enhancement in wireless sensor networks. In: Proceedings of the 50th FITCE International Congress (2011)

    Google Scholar 

  10. Feo Flushing, E., Di Caro, G.A.: A flow-based optimization model for throughput-oriented relay node placement in wireless sensor networks. In: Proceedings of the 28th Annual ACM Symposium on Applied Computing, pp. 632–639. ACM (2013)

    Google Scholar 

  11. Sun, Z.H.I., Akyildiz, I.F., Hancke, G.P.: Dynamic connectivity in wireless underground sensor networks. IEEE Trans. Wirel. Commun. 10(12), 4334–4344 (2011)

    Article  Google Scholar 

  12. Zungeru, A.M., Mangwala, M., Chuma, J.: Optimal node placement in wireless underground sensor networks. Int. J. Appl. Eng. Res. 12(20), 9290–9297 (2017)

    Google Scholar 

  13. Ow, P.S., Morton, T.E.: Filtered beam search in scheduling. Int. J. Prod. Res. 26(1), 35–62 (1988)

    Article  Google Scholar 

  14. Peplinski, N.R., Ulaby, F.T., Dobson, M.C.: Dielectric properties of soils in the 0.3-1.3-GHz range. IEEE Trans. Geosci. Remote Sens. 33(3), 803–807 (1995)

    Google Scholar 

  15. Whitley, L.D., et al.: The GENITOR algorithm and selection pressure: why rank-based allocation of reproductive trials is best. In: ICGA, vol. 89, pp. 116–123. Fairfax, VA (1989)

    Google Scholar 

Download references

Acknowledgment

This research is funded by Army Research Lab and International Technology Center- Pacific under project “Evolutionary Multitasking for Solving Optimization Problems”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nguyen Thi Tam .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tam, N.T., Binh, H.T.T., Hung, T.H., Dung, D.A., Vinh, L.T. (2019). Prolong the Network Lifetime of Wireless Underground Sensor Networks by Optimal Relay Node Placement. In: Kaufmann, P., Castillo, P. (eds) Applications of Evolutionary Computation. EvoApplications 2019. Lecture Notes in Computer Science(), vol 11454. Springer, Cham. https://doi.org/10.1007/978-3-030-16692-2_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-16692-2_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-16691-5

  • Online ISBN: 978-3-030-16692-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics