Skip to main content

Algorithms for Maximum Lifetime of Covering Path

  • Conference paper
  • First Online:
  • 965 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1005))

Abstract

Path coverage is an important issue in wireless sensor networks. Some algorithms are presented to solve path coverage problem in some specialized situations. However, they cannot be applied in common sensor networks applications. Moreover, energy conservation is not considered in these works. This paper presented a maximum lifetime path coverage algorithm in sensor networks. The goal is to divide the sensors into h groups, and schedule all groups such that the maximum lifetime can be achieved. We transform the problem into several sub problems and give a heuristic algorithm for it. Simulation experiments are conducted to find the impact of the size, the initial energy and the sensing radius of the sensor to the maximum lifetime.

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

Buying options

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

Learn about institutional subscriptions

References

  1. Kumar, S., Lai, T.H., Posner, M.E., et al.: Maximizing the lifetime of a barrier of wireless sensors. IEEE Trans. Mob. Comput. 9(8), 1161–1172 (2010)

    Article  Google Scholar 

  2. Dhawan, A.: Maximum lifetime scheduling in wireless sensor networks. Wirel. Sens. Netw. Technol. Protoc. 2012, 1–3 (2012)

    Google Scholar 

  3. Mini, S., Udgata, S.K., Sabat, S.L.: Sensor deployment and scheduling for target coverage problem in wireless sensor networks. Sens. J. IEEE 14(3), 636–644 (2014)

    Article  Google Scholar 

  4. Abrams, Z., Goel, A., et al.: Set k-cover algorithms for energy efficient monitoring in wireless sensor networks, pp. 424–432 (2003)

    Google Scholar 

  5. Cardei, M., Du, D.Z.: Improving wireless sensor network lifetime through power aware organization. Wirel. Netw. 11(3), 333–340 (2005)

    Article  Google Scholar 

  6. Lu, Z., Li, W.W., Pan, M.: Maximum lifetime scheduling for target coverage and data collection in wireless sensor networks. IEEE Trans. Veh. Technol. 64(2), 714–727 (2015)

    Article  Google Scholar 

  7. Meguerdichian, S., Koushanfar, F., Potkonjak, M., et al.: Coverage problems in wireless ad-hoc sensor networks. In: Proceedings of IEEE INFOCOM 2001, Twentieth Joint Conference of the IEEE Computer and Communications Societies. IEEE Xplore, vol. 3, pp. 1380–1387 (2001)

    Google Scholar 

  8. Lu, M., Wu, J., Cardei, M., Li, M.: Energy-efficient connected coverage of discrete targets in wireless sensor networks. In: Lu, X., Zhao, W. (eds.) ICCNMC 2005. LNCS, vol. 3619, pp. 43–52. Springer, Heidelberg (2005). https://doi.org/10.1007/11534310_7

    Chapter  Google Scholar 

  9. Gu, Y., Pan, M., Li, W.: Prolonging the lifetime of large scale wireless sensor networks via base station placement. In: Vehicular Technology Conference, pp. 1–5. IEEE (2013)

    Google Scholar 

  10. Gu, Y., Pan, M., Li, W.: Maximizing the lifetime of delay-sensitive sensor networks via joint routing and sleep scheduling. In: International Conference on Computing, Networking and Communications, pp. 540–544. IEEE (2014)

    Google Scholar 

  11. Zhang, Y., Huang, H., Sun, P., Li, Y.: Improving path-coverage for moving targets in wireless multimedia sensor networks. J. Commun. 9(11), 843–850 (2014)

    Article  Google Scholar 

Download references

Acknowledgment

This work is sponsored by the National Natural Science Foundation of China under Grant Nos. 61379117, 61502057.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhixiong Liu .

Editor information

Editors and Affiliations

Ethics declarations

The authors declare that there is no conflict of interest regarding the publication of this manuscript.

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, H., Liu, Z. (2019). Algorithms for Maximum Lifetime of Covering Path. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-7983-3_20

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-7983-3_20

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7982-6

  • Online ISBN: 978-981-13-7983-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics