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

Topology-controlled adaptive clustering for uniformity and increased lifetime in wireless sensor networks

Topology-controlled adaptive clustering for uniformity and increased lifetime in wireless sensor networks

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

Buy article PDF
£12.50
(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 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.

Owing to the dynamic nature of sensor network applications the adoption of adaptive cluster-based topologies has many untapped desirable benefits for the wireless sensor networks. In this study, the authors explore such possibility and present an adaptive clustering algorithm to increase the network's lifetime while maintaining the required network connectivity. The proposed scheme features capability of cluster heads to adjust their power level to achieve optimal degree and maintain this value throughout the network operation. Under the proposed method a topology control allows an optimal degree, which results in a better distributed sensors and well-balanced clustering system enhancing networks' lifetime. The simulation results show that the proposed clustering algorithm maintains the required degree for inter-cluster connectivity on many more rounds compared with hybrid energy-efficient distributed clustering (HEED), energy-efficient clustering scheme (EECS), low-energy adaptive clustering hierarchy (LEACH) and energy-based LEACH.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • Kubisch, M., Karl, H., Wolisz, A., Zhong, L.C., Rabaey, J.M.: `Distributed algorithms for transmission power control in wireless sensor networks', IEEE Wireless Commun. Networking, 2003, USA, p. 558–563.
    5. 5)
    6. 6)
      • Mhatre, V., Rosenberg, C.: `Homogeneous vs. heterogeneous clustered sensor networks: a comparative study', IEEE Int. Conf. on Commun., 2004.
    7. 7)
      • Virrankoski, R., Savvidees, A.: `TASC: topology adaptive spatial clustering for sensor networks', IEEE Int. Conf. on Mobile Adhoc and Sensor Systems, 2005.
    8. 8)
    9. 9)
      • Ye, M., Li, C.F., Chen, G.H., Wu, J.: `EECS: an energy efficient clustering scheme in wireless sensor networks', IEEE Int. Performance Computing and Commun. Conf., 2005, p. 535–540.
    10. 10)
    11. 11)
      • W. Dargie , C. Poellabauer . (2010) Fundamental of wireless sensor networks, theory and practice.
    12. 12)
      • Kleinrock, L., Silvester, J.A.: `Optimum transmission radii for packet radio networks or why six is a magic number', IEEE National Telecommunications Conf., 1978, p. 4.3.1–4.3.5.
    13. 13)
    14. 14)
    15. 15)
      • Gang, L., Zhigang, L., Xingshe, Z., Shining, L.: `Transmission power control for wireless sensor networks', IEEE Int. Conf. on Wireless Commun., Networking and Mobile Computing, 2007.
    16. 16)
    17. 17)
      • Lin, S., Zhang, J., Zhou, G., Stankovic, J.A., He, T.: `ATPC: adaptive transmission power control for wireless sensor networks', Proc. Fourth Int. Conf. on Embedded Networked Sensor Systems, 2006, p. 223–236.
    18. 18)
      • Heinzelman, W.: `Application-specific protocol architectures for wireless networks', 2000, PhD, Massachusetts Institute of Technology.
    19. 19)
    20. 20)
    21. 21)
    22. 22)
      • Dahnil, D.P., Singh, Y.P., Ho, C.K.: `Analysis of adaptive clustering algorithms in wireless sensor networks', IEEE Conf. on Commun. Systems, November 2010.
    23. 23)
      • Ye, F., Luo, H., Chung, J., Lu, S., Zhang, L.: `PEAS: a robust energy conserving protocol for long-lived sensor networks', Int. Conf. on Distributed Computing Systems, 2003, p. 28–37.
    24. 24)
      • Mallinson, M., Drane, P., Hussain, S.: `Discrete radio power level consumption model in wireless sensor networks', Second Int. Workshop on Information Fusion and Dissemination in Wireless Sensor Networks (SensorFusion), 2007.
    25. 25)
      • Texas Instrument, Chipcon: ‘CC2420, 2.4 GHz IEEE 802.15.4/ZigBee ready, RF Transceiver Data Sheet’, 2010.
    26. 26)
    27. 27)
      • Bandyopadhyay, S., Coyle, E.J.: `An energy efficient hierarchical clustering algorithm for wireless sensor networks', IEEE INFOCOM, 2003, p. 1713–1723.
    28. 28)
    29. 29)
      • M.A. Labrador , P.M. Wightman . (2009) Topology control in wireless sensor networks: with a companion simulation tool for teaching and research.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-wss.2012.0034
Loading

Related content

content/journals/10.1049/iet-wss.2012.0034
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address