Multi-layer clustering routing algorithm for wireless vehicular sensor networks

Multi-layer clustering routing algorithm for wireless vehicular sensor networks

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

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

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 to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Recently, there is a strong interest in developing wireless sensor network (WSN) techniques and important applications for moving vehicles, to enable WSN communication between roadside and vehicles or between vehicles. Wireless vehicular sensor networks (VSNs) using all kinds of routing algorithms of low-energy efficiency has recently received considerable attention. Clustering algorithm has a significant impact on the operation of WSN. Effective clustering algorithm leads WSN to operate efficiently. Hierarchical clustering is a new clustering scheme in WSN. This study presents a novel vehicular clustering scheme integrating hierarchical clustering on the basis of classical routing algorithm. Simulation results show that the new scheme efficiently mitigates the hot spot problem in WSN and achieves much improvement in network lifetime and load balance compared to the old algorithm which is Direct, LEACH and DCHS.


    1. 1)
      • G.J. Pottie , W.J. Kaiser . Wireless integrated network sensors. Commun. ACM , 5 , 51 - 58
    2. 2)
      • B. Shen , S. Zhang , Y. Zhong . Cluster-based routing protocol for wireless sensor networks. J. Softw. , 7 , 1588 - 1600
    3. 3)
      • Saad, E.M., Awadalla, M.H., Saleh, M.A., Keshk, H., Darwish, R.R.: `Adaptive and energy efficient clustering architecture for dynamic sensor NetworksSoft computing applications, 2007', Second Int. Workshop on SOFA 2007, 21–23 August 2007, p. 221–225.
    4. 4)
      • Tsuchita, P.F.: `The landmark hierarchy: a new hierarchy for routing in very large networks symposium', Proc. Communications Architectures and Protocols (S1GCOMM '88) fC1, 1988, p. 35–42.
    5. 5)
      • Handy, M.J., Haase, M., Timmermann, D.: `Low energy adaptive clustering hierarchy with deterministic cluster-head selection', Proc. Fourth IEEE Conf. Mobile and Wireless Communications Networks, 2002, p. 368–372.
    6. 6)
      • Kubisch, M., Karl, H., Wolisz, A., Zhong, L.C., Rabaey, J.: `Distributed algorithms for transmission power control in wireless sensor networks', Proc. IEEE Wireless Communications and Networking Conf. (WCNC), March 2003.
    7. 7)
      • V. Mhatre , C. Rosenberg . Design guidelines for wireless sensor networks: communication, clustering and aggregation. Ad Hoc Netw. J. , 1 , 452 - 463
    8. 8)
      • Bandyopadhyay, S., Coyle, E.: `An energy efficient hierarchical clustering algorithm for wireless sensor networks', Proc. IEEE Infocom, April 2003.
    9. 9)
      • Bhardwaj, M., Garnett, T., Chandrakasan, A.P.: `Upper bounds on lifetime of sensor networks', IEEE Int. Conf. Communications (ICC'01), June 2001.
    10. 10)
      • Bhardwaj, M., Chandrakasan, A.P.: `Bounding the lifetime of sensor networks via optimal role assignments', Proc. IEEE Infocom, June 2002.
    11. 11)
      • V. Mhatre , C. Rosenberg . Design guidelines for wireless sensor networks: communication, clustering and aggregation. Ad Hoc Netw. , 1 , 45 - 63
    12. 12)
      • T.S. Rappaport . (1996) Wireless communications: principles and practice.
    13. 13)
      • Perillo, M., Cheng, Z., Heinzelman, W.B.: `An analysis of strategies for mitigating the sensor network hot spot problem', In MobiQuitous, 2005, p. 474–478.
    14. 14)
      • Kawadia, V., Kumar, P.R.: `Power control and clustering in ', Proc. IEEE INFOCOM, 2003, p. 459–469.

Related content

This is a required field
Please enter a valid email address