Skip to main content

Advertisement

SpringerLink
Log in

Constrained multiple deployment problem in wireless sensor networks with guaranteed lifetimes

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

We aimed to deploy wireless sensor networks with guaranteed lifetimes for outdoor monitoring projects. The provision of a guaranteed lifetime has rarely been studied in previous deployment problems. The use of battery packs as the power source for sensors is common in many applications involving outdoor wireless sensor networks (WSNs). Because unified battery power is unable to provide both efficient collection and balance workload, we address the deployment procedure by considering adjustable battery packs. The key issue is determining the minimum number of battery packs required to guarantee both the system efficiency and lifetime. We formulate a constrained multiple deployment problem with energy models of the battery energy budget and sensor operations. The optimal solution is obtained using integer linear programming. We derived a lower bound of the deployment cost in terms of the number of battery packs. Due to the high time complexity for solving the optimal solution, we also propose two heuristics with polynomial-time complexity: (1) a battery-aware routing algorithm that selects routing paths based on consideration of the battery usage, and (2) a refinement procedure to improve existing WSN deployments by adjusting traffic in order to reduce the cost. Theoretical analyses of the proposed algorithms revealed their time complexity. We performed extensive simulations to evaluate the proposed algorithms in terms of the deployment cost and residual energy. The results show that our algorithm generates deployments close to the lower bound.

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

Access this article

Log in via an institution

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

Similar content being viewed by others

References

  1. Mainwaring, A. et al. (2002). Wireless sensor networks for habitat monitoring. Presented at the ACM international workshop on Wireless sensor networks and applications, Atlanta, GA, USA.

  2. Werner-Allen, G. et al. (2008). Lance: Optimizing high-resolution signal collection in wireless sensor networks. Presented at the 6th ACM conference on embedded network sensor systems, Raleigh, NC, USA.

  3. Heinzelman, W. R., et al. (2000). Energy-efficient communication protocol for wireless microsensor networks. In System Sciences, 2000. Proceedings of the 33rd annual Hawaii international conference on, 2000 (Vol. 2, 10 pp).

  4. Wei, Y., et al. (2002). An energy-efficient MAC protocol for wireless sensor networks. In INFOCOM 2002. Twenty-first annual joint conference of the IEEE computer and communications societies. Proceedings. IEEE, 2002 (Vol. 3, pp. 1567–1576).

  5. Krishnamachari, L., et al. (2002). The impact of data aggregation in wireless sensor networks. In Distributed computing systems workshops, 2002. Proceedings of the 22nd international conference on, 2002 (pp. 575–578).

  6. Pattem, S., et al. (2004). The impact of spatial correlation on routing with compression in wireless sensor networks. In Information processing in sensor networks, 2004. IPSN 2004. Third international symposium on, 2004 (pp. 28–35).

  7. Hempstead, M., et al. (2005). An ultra low power system architecture for sensor network applications. In Computer architecture, 2005. ISCA ‘05. Proceedings of the 32nd international symposium on, 2005 (pp. 208–219).

  8. Sheets, M., et al. (2006). A power-managed protocol processor for wireless sensor networks. In VLSI circuits, 2006. Digest of technical papers. 2006 symposium on, 2006 (pp. 212–213).

  9. Gupta, G., & Younis, M. (2003). Performance evaluation of load-balanced clustering of wireless sensor networks. In Telecommunications, 2003. ICT 2003. 10th international conference on, 2003 (Vol. 2, pp. 1577–1583).

  10. Chi-Fu, H., et al. (2003). A two-tier heterogeneous mobile ad hoc network architecture and its load-balance routing problem. In Vehicular technology conference, 2003. VTC 2003-fall. 2003 IEEE 58th, 2003 (Vol. 4, pp. 2163–2167).

  11. Xiaobing, W., et al. (2008). Avoiding energy holes in wireless sensor networks with nonuniform node distribution. IEEE Transactions on Parallel and Distributed Systems, 19, 710–720.

    Article  Google Scholar 

  12. Lindsey, S., & Raghavendra, C. S. (2002). PEGASIS: Power-efficient gathering in sensor information systems. In Aerospace conference proceedings, 2002. IEEE, 2002 (Vol. 3, pp. 3-1125–3-1130).

  13. Jia, J., et al. (2008). Maximization for wireless sensor network lifetime with power efficient cover set alternation. In International conference on communications, circuits and systems, 2008 (pp. 439–443).

  14. Gandham, S. R., et al. (2003). Energy efficient schemes for wireless sensor networks with multiple mobile base stations. In Global telecommunications conference, 2003. GLOBECOM ‘03. IEEE, 2003 (Vol. 1, pp. 377–381).

  15. Oyman, E. I., & Ersoy, C. (2004). Multiple sink network design problem in large scale wireless sensor networks. In Communications, 2004 IEEE International Conference on, 2004 (Vol. 6, pp. 3663–3667).

  16. Sichitiu, M. L., & Dutta, R. (2005). Benefits of multiple battery levels for the lifetime of large wireless sensor networks. ed, 2005 (pp. 1440–1444).

  17. Long, H., et al. (2009). Battery allocation for wireless sensor network lifetime maximization under cost constraints. Presented at the proceedings of the 2009 international conference on computer-aided design, San Jose, CA.

  18. Huang-Chen, L., et al. (2008). Using mobile wireless sensors for in situ tracking of debris flows. Presented at the proceedings of the 6th ACM conference on embedded network sensor systems, Raleigh, NC.

  19. Xu, K., et al. (2005). Relay node deployment strategies in heterogeneous wireless sensor networks: Single-hop communication case. In Global telecommunications conference, 2005 (p. 5).

  20. Kenan, X., et al. (2005). Relay node deployment strategies in heterogeneous wireless sensor networks: Multiple-hop communication case. In Sensor and ad hoc communications and networks, 2005. IEEE SECON 2005. 2005 2nd annual IEEE communications society conference on, 2005 (pp. 575–585).

  21. Mhatre, V. P., et al. (2005). A minimum cost heterogeneous sensor network with a lifetime constraint. IEEE Transactions on Mobile Computing, 4, 4–15.

    Article  Google Scholar 

  22. Xu, K., et al. (2005). Optimal wireless sensor networks deployment: Minimum cost with lifetime constraint. Presented at the IEEE international conference on wireless and mobile computing, networking and communications, 2005.

  23. Wang, Q., et al. (2005). Minimum cost guaranteed lifetime design for heterogeneous wireless sensor networks. In IEEE international performance, computing, and communications conference, 2005 (pp. 599–604).

  24. Wang, Q., et al. (2005). Locally optimal relay node placement in heterogeneous wireless sensor networks. In Global telecommunications conference, 2005 (p. 5).

  25. Pan, J., et al. (2003). Topology control for wireless sensor networks. Presented at the 9th annual international conference on mobile computing and networking, San Diego, CA.

  26. Chang, J.-H., & Tassiulas, L. (2004). Maximum lifetime routing in wireless sensor networks. IEEE/ACM Transactions on Networking, 12, 609–619.

    Article  Google Scholar 

  27. Iyengar, R., et al. (2005). Low-coordination topologies for redundancy in sensor networks. Presented at the 6th ACM international symposium on mobile ad hoc networking and computing, Urbana-Champaign, IL.

  28. Bai, X., et al. (2008). Complete optimal deployment patterns for full-coverage and k-connectivity wireless sensor networks. Presented at the 9th ACM international symposium on mobile ad hoc networking and computing, Hong Kong, China.

  29. Heinzelman, W. B., et al. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1, 660–670.

    Article  Google Scholar 

  30. Rappaport, T. S. (2001). Wireless communications: Principles and practice (2nd ed.).  Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  31. Crossbow technology. Available: http://www.xbow.com/.

  32. Cormen, T. H., et al. (2001). Introduction to algorithms (2nd ed.). Cambridge, MA: MIT Press and McGraw-Hill.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan

    Chun-Han Lin, Chung-Ta King & Ting-Yi Chen

Authors
  1. Chun-Han Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chung-Ta King
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ting-Yi Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chun-Han Lin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lin, CH., King, CT. & Chen, TY. Constrained multiple deployment problem in wireless sensor networks with guaranteed lifetimes. Wireless Netw 17, 385–396 (2011). https://doi.org/10.1007/s11276-010-0286-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-010-0286-7

Keywords

Search

Navigation