Skip to main content

A Lifetime-Aware Network Maintenance Method for Wireless Sensor Networks

  • Conference paper
  • First Online:
Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10040))

Included in the following conference series:

  • 1911 Accesses

Abstract

Wireless sensor networks (WSNs) own large quantities of small, inexpensive sensor nodes over a region of interest. The sensor nodes are randomly deployed in the region. WSNs may suffer coverage problem due to death of the nodes. It may reduce the coverage quality. In this paper, the network maintenance problem is investigated. We firstly introduce the network health indicator model using the sensing probability model and energy consumption model. And then the holes determination problem is converted into the optimization problem, so we employ the Fuzzy C-Mean method to identify the network holes. Finally, network repair method is proposed to maintenance the network. Simulation results show that the proposed method could effectively improve the lifetime of network and sensing quality.

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. Guo, P., Wang, J., Li, B., Lee, S.: A variable threshold-value authentication architecture for wireless mesh networks. J. Internet Technol. 15(6), 929–936 (2014)

    Google Scholar 

  2. Shen, J., Tan, H., Wang, J., Wang, J., Lee, S.: A novel routing protocol providing good transmission reliability in underwater sensor networks. J. Internet Technol. 16(1), 171–178 (2015)

    Google Scholar 

  3. Xie, S., Wang, Y.: Construction of tree network with limited delivery latency in homogeneous wireless sensor networks. Wireless Pers. Commun. 78(1), 231–246 (2014)

    Article  Google Scholar 

  4. Dini, G., Pelagatti, M., Savino, I.M.: Repairing network partitions in wireless sensor networks. In: Proceedings of the IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, pp. 1–5. IEEE (2007)

    Google Scholar 

  5. Pan, M., Tseng, Y.: A lightweight network repair scheme for data collection applications in Zigbee WSNs. IEEE Commun. Lett. 13(9), 649–651 (2009)

    Article  Google Scholar 

  6. Bredin, J.L., Demaine, E.D., Hajiahjayi, M.T., Rus, D.: Deploying sensor networks with guaranteed fault tolerance. IEEE/ACM Trans. Netw. 18(1), 216–228 (2010)

    Article  Google Scholar 

  7. Sahoo, P., Liao, W.: HORA: a distributed coverage hole repair algorithm for wireless sensor networks. IEEE Trans. Mobile Comput. 14(7), 1397–1410 (2015)

    Article  Google Scholar 

  8. Abbasi, A.A., Younis, M.F., Baroudi, U.A.: A least-movement topology repair algorithm for partitioned wireless sensor-actor networks. Int. J. Sens. Netw. 11(4), 250–262 (2012)

    Article  Google Scholar 

  9. Yu, X., Wu, C., Chen, D., Hu, N.: Level set based coverage holes detection and holes healing scheme in hybrid sensor network. Int. J. Distrib. Sens. Netw. 2013, 1–9 (2013)

    Google Scholar 

  10. Ibrahim, A.S., Seddik, K.G., Liu, K.J.R.: Connectivity-aware network maintenance and repair via relays deployment. IEEE Trans. Wireless Commun. 8(1), 356–366 (2009)

    Article  Google Scholar 

  11. Korbi, I.E., Zeadally, S.: Energy-aware sensor node relocation in mobile sensor networks. Ad Hoc Netw. 16, 247–265 (2014)

    Article  Google Scholar 

  12. Chang, C., Lin, C., Yu, G., Kuo, C.: An energy-efficient hole-healing mechanism for wireless sensor networks with obstacles. Wireless Commun. Mob. Comput. 13(4), 377–392 (2013)

    Article  Google Scholar 

  13. Wu, C., Cheng, L., Zhang, Y.: Node redeployment for effective prolong maintenance period in wireless sensor networks. IEICE Trans. Commun. E95B(10), 3179–3186 (2012)

    Article  Google Scholar 

  14. Xiang, M., Zhao, J.W.: On the performance of distributed Neyman-Pearson detection systems. IEEE Trans. Syst. Man Cybern. Part A 31(1), 78–83 (2001)

    Article  Google Scholar 

Download references

Acknowledge

This work was supported by the National Natural Science Foundation of China under Grant No. 61403068 and No. 61501100; Natural Science Foundation of Hebei Province under Grant No. F2015501097 and F2016501080; Scientific Research Fund of Hebei Provincial Education Department under Grant No. Z2014078; NEUQ internal funding under Grant No. XNB201509 and XNB201510.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Long Cheng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Cheng, L., Wang, Y., Chu, H., Wan, Q. (2016). A Lifetime-Aware Network Maintenance Method for Wireless Sensor Networks. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-48674-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48673-4

  • Online ISBN: 978-3-319-48674-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics