Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Clustering and fault tolerance for target tracking using wireless sensor networks

Clustering and fault tolerance for target tracking using wireless sensor networks

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Wireless Sensor Systems — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Engineering and Technology
Published

Using wireless sensor networks to track a moving object provided a practical solution to a wide variety of applications including, for example, wild life, military operations, intruder tracking and monitoring in indoor office buildings. While much work has been done in this area, failures are not considered in most of the existing solutions. However, failures have to be handled carefully in target tracking applications because of their unpredictable and dynamic nature of communication, such as sensor energy depletion, severe environment conditions, unstable communication links and malicious attacks. Traditional approaches of fault tolerance are not well suited to address these new challenges. Therefore the authors propose a novel fault-tolerant target tracking (FTTT) protocol based on clustering. Also, the results of an investigation in terms of performance overheads and scalable nature of the FTTT protocol via comparative simulations with LEACH are discussed. Overall, in all the cases, FTTT consumes at least 25% less energy than LEACH.

Inspec keywords: access protocols; wireless sensor networks; pattern clustering; object tracking; target tracking; fault tolerance

Other keywords: clustering; moving object tracking; fault-tolerant target tracking protocol; wireless sensor networks; LEACH protocol; FTTT protocol

Subjects: Signal processing and detection; Protocols; Wireless sensor networks

References

    1. 1)
      • Bhatti, S., Xu, J., Memon, M.: `Energy-aware fault-tolerant clustering scheme for target tracking wireless sensor networks', Proc. Seventh Int. Symp. on Wireless Communication Systems, 19–22 September 2010, UK, p. 531–535, York, The University of York.
    2. 2)
      • G. Gupta , M. Younis . Fault-tolerant clustering of wireless sensor networks. IEEE Wirel. Commun. Netw. , 1579 - 1584
    3. 3)
    4. 4)
      • H. Tyan . Evaluation of J-Sim.
    5. 5)
      • H. Liu , A. Nayak , I. Stojmenovic , S. Misra . (2009) Fault tolerant algorithms/protocols in wireless sensor networks, Guide to wireless sensor networks, computer communications and networks.
    6. 6)
      • Wang, Z., Li, H., Shen, X., Sun, X., Wang, Z.: `Tracking and predicting moving targets in hierarchical sensor networks', IEEE Int. Conf. on Networking, Sensing and Control, ICNSC, 2008, p. 1169–1173.
    7. 7)
    8. 8)
      • Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: `Energy-efficient communication protocol for wireless microsensor networks', Proc. 33rd Annual Hawaii Int. Conf. on System Sciences, 4–7 January 2000, p. 3005–3014.
    9. 9)
      • Bhatti, S., Xu, J., Memon, M.: `Model checking of a target tracking protocol for wireless sensor networks', Proc. 10th Int. Conf. on Computer and Information Technology, 29 June–1 July 2010, Bradford, UK, p. 2867–2872.
    10. 10)
      • Behnke, R., Salzmann, J., Simanowski, S., Timmermann, D.: `Efficient localized detection of erroneous nodes (ELDEN)', Proc. 2010 10th IEEE Int. Conf. on Computer and Information Technology (CIT 2010), 2010, p. 2884–2890.
    11. 11)
      • Halgamuge, M.N., Guru, S.M., Jennings, A.: `Energy efficient cluster formation in wireless sensor networks', Proc. Tenth Int. Conf. on Telecommunications, ICT 2003, 23 Feburary–1 March 2003, 2, p. 1571–1576.
    12. 12)
      • Kim, K.T., Yoo, H.K., Son, B.H., Youn, H.Y.: `An energy efficient clustering scheme for self-organizing distributed wireless sensor networks', Proc. 10th IEEE Int. Conf. on Computer and Information Technology, 29 June–01 July 2010, Bradford, UK, p. 1468–1473.
    13. 13)
    14. 14)
      • Alaybeyoglu, A., Dagdeviren, O., Erciyes, K., Kantarci, A.: `Performance evaluation of cluster-based target tracking protocols for wireless sensor networks', Proc. 24th Int. Symp. on Computer and Information Sciences, ISCIS, 2009, p. 357–362.
    15. 15)
    16. 16)
      • Bhatti, S., Xu, J.: `Survey of target tracking protocols using wireless sensor network', Proc. Fifth Int. Conf. on Wireless and Mobile Communications, 23–29 August 2009, France, p. 110–115.
    17. 17)
      • Tran, S.P.M., Yang, T.A.: `OCO: optimized communication and organization for target tracking in wireless sensor networks', Proc. IEEE Int. Conf. on Sensor Networks, Ubiquitous, and Trustworthy Computing, (SUTC'06), 2006, p. 428–435.
    18. 18)
      • The network simulator Ns-2 [accessed 10 July 2008]. Available at: www.isi.edu/nsnam/ns/.
    19. 19)
      • Ding, M., Chen, D., Xing, K., Cheng, X.: `Localized fault-tolerant event boundary detection in sensor networks', Proc. IEEE INFOCOM 2005, March 2005, Miami, p. 902–913.
    20. 20)
    21. 21)
      • Tsukamoto, K., Ueda, H., Tamura, H., Kawahara, K., Oie, Y.: `Design of wireless sensor network for multi-point surveillance of a moving target based on the relationship between tracking probability and sensor density', Sixth IEEE Consumer Communications and Networking Conf., CCNC, 10–13 January 2009, p. 1–5.
    22. 22)
      • Chen, J., Kher, S., Somani, A.: `Distributed fault tolerant detection of wireless sensor networks', Proc. 2006 Workshop on Dependability Issue in Wireless Adhoc Networks and Sensor Networks, September 2006, Los Angeles.
    23. 23)
      • Chang, W.-R., Lin, H.-T., Cheng, Z.-Z.: `CODA: a continuous object detection and tracking algorithm for wireless ad hoc sensor networks', Fifth IEEE Consumer Communications and Networking Conf., CCNC, 10–12 January 2008, p. 168–174.
    24. 24)
    25. 25)
      • S. Pino-Povedano , F.-J. Gonźalez Serrano . Distributed tracking and classification of targets with sensor networks. 16th Int. Conf. on Software, Telecommunications and Computer Networks, SoftCOM 2008 , 213 - 217
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-wss.2010.0085
Loading

Related content

content/journals/10.1049/iet-wss.2010.0085
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address