Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2542652.2542658acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmlsdaConference Proceedingsconference-collections
research-article

Performance Analysis of Duty-Cycling Wireless Sensor Network for Train Localization

Published: 02 December 2013 Publication History

Abstract

Wireless sensor networks (WSNs) offer promising solutions for real-time object monitoring and tracking. An interesting application is train localization, in which anchor sensors are deployed along the railway track to detect the train and timely report to a gateway installed on the train. To save energy, anchor sensors operate based on an asynchronous duty-cycling protocol. The accuracy of train localization highly depends on the availability of anchor sensors when a train pass by them, which in turn depends on the duty-cycling. This paper presents an analysis of energy consumption with different levels of performance compromises. We evaluate the energy consumption through simulations, and results show that with slight performance compromise on the number of active anchors, the lifetime of anchor sensors can be significantly extended.

References

[1]
A. Acharyaa, S. Sadhu, and T. Ghoshala. Train localization and parting detection using data fusion. Transportation Research Part C: Emerging Technologies, 19:75--84, 2011.
[2]
M. Buettner, G. V. Yee, E. Anderson, and R. Han. X-mac: a short preamble mac protocol for duty-cycled wireless sensor networks. In Proceedings of the 4th international conference on Embedded networked sensor systems, pages 307--320. ACM, 2006.
[3]
B. Chen, K. Jamieson, H. Balakrishnan, and R. Morris. Span: An energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. In Proc. of ACM/IEEE 7th International Conf. on Mobile Computing and Networking (MobiCom). ACM, 2001.
[4]
A. El-Hoiydi and J.-D. Decotignie. Wisemac: An ultra low power mac protocol for multi-hop wireless sensor networks. Algorithmic Aspects of Wireless Sensor Networks, pages 18--31, 2004.
[5]
A. Javed, H. Zhang, Z. Huang, and J. Deng. BWS: Beacon-driven wake-up scheme for train localization using wireless sensor networks. Technical Report OUCS-2013--13, University of Otago, November 2013.
[6]
A. Keshavarzian, H. Lee, and L. Venkatraman. Wakeup scheduling in wireless sensor networks. In Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing, pages 322--333. ACM, 2006.
[7]
M. Klepal, D. Pesch, et al. A bayesian approach for rf-based indoor localisation. In Wireless Communication Systems, 2007. ISWCS 2007. 4th International Symposium on, pages 133--137. IEEE, 2007.
[8]
F. Österlind, A. Dunkels, J. Eriksson, N. Finne, and T. Voigt. Demo abstract: Cross-level simulation in cooja. In Proceedings of the First IEEE International Workshop on Practical Issues in Building Sensor Network Applications, 2006.
[9]
J. Polastre, J. Hill, and D. Culler. Versatile low power media access for wireless sensor networks. In Proceedings of the 2nd international conference on Embedded networked sensor systems, pages 95--107. ACM, 2004.
[10]
Y. Sun, O. Gurewitz, and D. B. Johnson. Ri-mac: a receiver-initiated asynchronous duty cycle mac protocol for dynamic traffic loads in wireless sensor networks. In Proceedings of the 6th ACM conference on Embedded network sensor systems, pages 1--14. ACM, 2008.
[11]
Texas Instruments. 2.4 GHz IEEE 802.15.4/ZigBee-ready RF Transceiver, 2003.
[12]
Y. Tseng, C. Hsu, and T. Hsieh. Power-saving protocols for ieee 802.11-based multi-hop ad hoc networks. In Proc. of INFOCOM, 2002.
[13]
Y. Wong, L. Ngoh, W. Wong, and W. Seah. A combinatorics-based wakeup scheme for target tracking in wireless sensor networks. In Wireless Communications and Networking Conference, 2007. WCNC 2007. IEEE, pages 3569--3574. IEEE, 2007.
[14]
W. Ye, J. Heidemann, and D. Estrin. 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, volume 3, pages 1567--1576. IEEE, 2002.
[15]
W. Ye, J. Heidemann, and D. Estrin. Medium access control with coordinated adaptive sleeping for wireless sensor networks. Networking, IEEE/ACM Transactions on, 12(3):493--506, 2004.
[16]
R. Zheng, J. Hou, and L. Sha. Asynchronous wakeup for ad hoc networks. In Proceedings of the 4th ACM international symposium on Mobile ad hoc networking and computing, pages 35--45. ACM, 2003.

Cited By

View all
  • (2015)CAMSProceedings of the 14th International Conference on Ad-hoc, Mobile, and Wireless Networks - Volume 914310.1007/978-3-319-19662-6_8(107-120)Online publication date: 29-Jun-2015

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
MLSDA '13: Proceedings of Workshop on Machine Learning for Sensory Data Analysis
December 2013
55 pages
ISBN:9781450325134
DOI:10.1145/2542652
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • Dept. of Information Science, Univ.of Otago: Department of Information Science, University of Otago, Dunedin, New Zealand

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2013

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. duty-cycling
  2. localization
  3. performance analysis
  4. wireless sensor networks

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

MLSDA '13

Acceptance Rates

MLSDA '13 Paper Acceptance Rate 8 of 11 submissions, 73%;
Overall Acceptance Rate 8 of 11 submissions, 73%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2015)CAMSProceedings of the 14th International Conference on Ad-hoc, Mobile, and Wireless Networks - Volume 914310.1007/978-3-319-19662-6_8(107-120)Online publication date: 29-Jun-2015

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media