Skip to main content

A Multi-resolution Task Distribution Method in Mobile Sensing System

  • Conference paper
Advances in Wireless Sensor Networks (CWSN 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 418))

Included in the following conference series:

  • 1111 Accesses

Abstract

With the popularity of mobile phones, mobile sensing system has become an important research area in wireless sensor network. In this paper, a multi-resolution task distribution method for mobile sensing system is presented. First, a task map of sensing area is defined according to its physical map. Then a set of of information parameters are designed, and the task map is encoded. Thus the mobile nodes are capable of downloading the task map using parametric encoding map. In our proposed method, mobile nodes can stop receiving task map at any time, and a task map with suitable resolution is obtained. Through experiment about error rate of parametric encoding, multi-resolution receiving method and encoded information size, we can conclude that parametric encoding and multi-resolution receiving are suitable for mobile sensing system.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Howard, A., Matarić, M.J., Sukhatme, G.S.: Mobile sensor network deployment using potential fields: A distributed, scalable solution to the area coverage problem. In: Proc of International Symposium on Distributed Autonomous Robotics Systems, pp. 299–303 (2002)

    Google Scholar 

  2. Mun, M., et al.: Peir, the Personal Environmental Impact Report, as a Platform for Participatory Sensing Systems Research. In: Proc. 7th ACM MobiSys, pp. 55–68 (2009)

    Google Scholar 

  3. Thiagarajan, A., et al.: VTrack: Accurate, Energy-Aware Traffic Delay Estimation Using Mobile Phones. In: Proc. 7th ACM SenSys, Berkeley, CA (November 2009)

    Google Scholar 

  4. Bao, X., Roy Choudhury, R.: Movi: mobile phone based video highlights via collaborative sensing. In: Proc. 8th International Conference on Mobile Systems, Applications, and Services, MobiSys 2010, pp. 357–370. ACM, New York (2010)

    Google Scholar 

  5. Oliver, N., Mangas, F.F.: Healthgear: Automatic sleep apnea detection and monitoring with a mobile phone. Journal of Communications (March 2007)

    Google Scholar 

  6. Ngai, E., Huang, H., Liu, J., Srivastava, M.: OppSense: Information sharing for mobile phones in sensing field with data repositories. In: Proc. of SECON (June 2011)

    Google Scholar 

  7. Rana, R., Chou, C., Kanhere, S., Bulusu, N., Hu, W.: Ear-phone: an end-to-end participatory urban noise mapping system. In: Proc. of ACM/IEEE IPSN 2010, pp. 105–116 (2008)

    Google Scholar 

  8. Burke, J., Estrin, D., Hansen, M., Parker, A., Ramanathan, N., Reddy, S., Srivastava, M.B.: Participatory sensing. In: Workshop on World-Sensor-Web (WSW 2006), pp. 117–134 (2006)

    Google Scholar 

  9. Dang, T., Feng, W., Bulusu, N.: Zoom: A multi-resolution tasking framework for crowdsourced geo-spatial sensing. In: Proc. of IEEE Infocom, pp. 501–505 (2011)

    Google Scholar 

  10. Xia, K., Wei, C.: Study on Real-Time Navigation Data Model Based on ESRI Shapefile. In: Proc. of IEEE Infocom, pp. 174–178 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, J., Zhou, S. (2014). A Multi-resolution Task Distribution Method in Mobile Sensing System. In: Sun, L., Ma, H., Hong, F. (eds) Advances in Wireless Sensor Networks. CWSN 2013. Communications in Computer and Information Science, vol 418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54522-1_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54522-1_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54521-4

  • Online ISBN: 978-3-642-54522-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics