Skip to main content

An Adaptive Coverage Algorithm for Large-Scale Mobile Sensor Networks

  • Conference paper
Ubiquitous Intelligence and Computing (UIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4159))

Included in the following conference series:

Abstract

Coverage has been an active research area in mobile sensor networks. For a randomly placed large-scale sensor network, sensor nodes would most probably be distributed asymmetrically, and it requires the coverage algorithm to do with the diffusion and contraction of the network. Most of the existed algorithms are on the assumption that sensor nodes are initially densely distributed or the states of the network coverage are known to all the nodes, which does not meet all application scenarios. This paper proposes a new adaptive coverage algorithm based on the combination of boundary contraction and random repulsion. It works well on the scenarios of the asymmetrical initial distribution, the isotropic sensor nodes, and that only the coverage states in communication range being known by nodes. Simulation results show that the algorithm realizes both the diffusion and contraction of the sensor network, and that the deployed nodes tend to be uniformly distributed.

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 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Frost Gorder, P.: Sizing up smart dust. IEEE Computational Science and Engineering 5(6), 6–9 (2003)

    Google Scholar 

  2. Gage, D.W.: Command control for many-robot systems. In: The Nineteenth Annul AUVS Technical Symposium in AUVS-92, Huntsville, Alabama, USA, June 1992, pp. 22–24 (1992)

    Google Scholar 

  3. Khatib, O.: Real-time obstacle avoidance for manipulators and mobile robots. International Journal of Robotics Research 5(1), 90–98 (1986)

    Article  MathSciNet  Google Scholar 

  4. Parlaktuna, O., Bakla, B., Ozkan, M., Yazici, A.: Mobile robot navigation using fuzzy logic methods. In: Proceedings of the IEEE 13th Conference on Signal Processing and Communications Applications, May 16-18, 2005, pp. 432–435 (2005)

    Google Scholar 

  5. Blanc, G., Mezouar, Y., Martinet, P.: Indoor Navigation of a Wheeled Mobile Robot along Visual Routes. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, April 18-22, 2005, pp. 3354–3359 (2005)

    Google Scholar 

  6. Howard, A., Matari’c, M.J., Sukhatme, G.S.: Mobile Sensor Network Deployment using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem. In: Proceedings of the 6th International Symposium on Distributed Autonomous Robotics Systems (DARS 2002), Fukuoka, Japan, June 25-27 (2002)

    Google Scholar 

  7. Reif, J.H., Wang, H.: Social potential fields: A distributed behavioral control for autonomous robots. Robotics and Autonomous Systems 27, 171–194 (1999)

    Article  Google Scholar 

  8. Batalin, M., Sukhatme, G.S.: Spreading out: A local approach to multi-robot coverage. In: 6th International Conference on Distributed Autonomous Robotic Systems (DSRS 2002), Fukuoka, Japan, pp. 373–382 (2002)

    Google Scholar 

  9. Pearce, J.L., Rybski, P.E., Stoeter, S.A., Papanikolopoulous, N.: Dispersion behaviors for a team of multiple miniature robots. In: IEEE International Conference on Robotics and Automation, Taipei, Taiwan, September 2003, pp. 1158–1163 (2003)

    Google Scholar 

  10. Poduri, S., Sukhatme, G.S.: Constrained Coverage for Mobile Sensor Networks. In: Proceedings of the 2004 IEEE International Conference on Robotics and Automation, vol. 1, pp. 165–171 (2004)

    Google Scholar 

  11. Heo, N., Varshney, P.K.: Energy-efficient deployment of Intelligent Mobile sensor networks. IEEE Transactions on Systems, Man and Cybernetics, Part A 35(1), 78–92 (2005)

    Article  Google Scholar 

  12. Zhou, S., Wu, M.-Y., Shu, W.: Finding optimal placements for mobile sensors: wireless sensor network topology adjustment. In: Proceedings of the IEEE 6th Circuits and Systems Symposium on Emerging Technologies: Frontiers of Mobile and Wireless Communication, May 31 - June 2, 2004, vol. 2, pp. 529–532 (2004)

    Google Scholar 

  13. Wang, G., Cao, G., Porta, T.L., Zhang, W.: Sensor relocation in mobile sensor networks. In: Proceedings of the IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies, March 13-17, 2005, vol. 4, pp. 2302–2312 (2005)

    Google Scholar 

  14. Zhang, B., Sukhatme, G.S.: Controlling Sensor Density Using Mobility. In: The Second IEEE Workshop on Embedded Networked Sensors, May 30-31, 2005, pp. 141–150 (2005)

    Google Scholar 

  15. Wang, G., Cao, G., La Porta, T.: Movement-assisted sensor deployment. In: Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies, March 7-11, 2004, vol. 4, pp. 2469–2479 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Guo, P., Zhu, G., Fang, L. (2006). An Adaptive Coverage Algorithm for Large-Scale Mobile Sensor Networks. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.JP. (eds) Ubiquitous Intelligence and Computing. UIC 2006. Lecture Notes in Computer Science, vol 4159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11833529_48

Download citation

  • DOI: https://doi.org/10.1007/11833529_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38091-7

  • Online ISBN: 978-3-540-38092-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics