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

Elastic routing: a novel geographic routing for mobile sinks in wireless sensor networks

Elastic routing: a novel geographic routing for mobile sinks 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 Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Geographic routing has been considered as an efficient, simple and scalable routing protocol for wireless sensor networks, since it exploits pure location information instead of global topology information to route data packets towards a static sink. Recently, a number of research works have shown that mobile sinks can achieve high energy efficiency and load balance than static ones. In order to receive data packets continuously, a mobile sink must update its location to the source frequently. However, frequent location updates of mobile sinks may lead to both rapid energy consumption of the sensor nodes and increased collisions in wireless transmissions. The authors propose a novel geographic routing for mobile sinks to address this issue. The proposed scheme takes advantage of wireless broadcast transmission nature of wireless sensor nodes. When a sink moves, the new location information is propagated along the reverse geographic routing path to the source during data delivery. Analysis and simulation results indicate that elastic routing is superior to other protocols in terms of control overhead, data delivery delay and energy consumption.

References

    1. 1)
      • W.-W. Ji , Z. Liu . Locating ineffective sensor nodes in wireless sensor networks. IET Commun. , 3 , 432 - 439
    2. 2)
      • Kuhn, F., Wattenhofer, R., Zollinger, A.: `Worst-case optimal and average-case efficient geometric ad-hoc routing', ACM MOBIHOC, 2003, p. 267–278.
    3. 3)
    4. 4)
      • Xue, Y., Li, B., Nahrstedt, K.: `A scalable location management scheme in mobile ad-hoc networks', IEEE Annual Conf. Local Computer Networks (LCN), 2001, p. 102–111.
    5. 5)
      • Coffin, D., Hook, D.V., McGarry, S., Kolek, S.: `Declarative ad-hoc sensor networking', SPIE Integrated Command Environments, 2000, p. 109–120.
    6. 6)
      • Ye, F., Luo, H., Cheng, J., Lu, S., Zhang, L.: `A two-tier data dissemination model for large-scale wireless sensor networks', ACM MOBICOM, 2002, p. 148–159.
    7. 7)
      • Yu, Y., Govindan, R., Estrin, D.: `Geographical and energy aware routing: a recursive data dissemination protocol for wireless sensor networks', UCLA Computer Science Department Technical Report UCLA/CSD-TR-01-0023, May 2001.
    8. 8)
      • Seada, K., Helmy, A.: `Rendezvous regions: a scalable architecture for service location and data-centric storage in large-scale wireless networks', IEEE/ACM IPDPS Fourth Int. Workshop on Algorithms for Wireless, Mobile, Ad Hoc and Sensor Networks (WMAN), 2004, p. 218–225.
    9. 9)
      • J.N. Al-Karaki , A.E. Kamal . Routing techniques in wireless sensor networks: a survey. IEEE Trans. Wirel. Commun. , 6 , 6 - 28
    10. 10)
      • F. Ye , G. Zhong , S. Lu , L. Zhang . Gradient broadcast: a robust data delivery protocol for large scale sensor networks. ACM Wirel. Netw. , 3 , 285 - 298
    11. 11)
      • K. Yu , Y.J. Guo . Anchor-free localization algorithm and performance analysis in wireless sensor networks. IET Commun. , 4 , 549 - 560
    12. 12)
      • J. Lee , W. Yu , X. Fu . Energy-efficient target detection in sensor networks using line proxies. Int. J. Commun. Syst. , 3 , 251 - 275
    13. 13)
      • G. Zhou , H. Tian , S. Krishnamurthy , J.A. Stankovic . Models and solutions for radio irregularity in wireless sensor networks. ACM Trans. Sensor Netw. (TOSN) , 2 , 221 - 262
    14. 14)
      • I. Stojmenović , D. Liu , X. Jia . A scalable quorum-based location service in ad hoc and sensor networks. Int. J. Commun. Netw. Distrib. Syst. , 1 , 71 - 94
    15. 15)
      • Basagni, S., Chlamtac, I., Syrotiuk, V., Woodward, B.: `A distance routing effect algorithm for mobility (DREAM)', ACM MOBICOM, 1998, p. 76–84.
    16. 16)
      • G. Wang , T. Wang , W. Jia , M. Guo , J. Li . Adaptive location updates for mobile sinks in wireless sensor networks. J. Supercomput. , 2 , 127 - 145
    17. 17)
      • Karp, B., Kung, H.T.: `GPSR: greedy perimeter stateless routing for wireless networks', Proc. Sixth Annual Int. Conf. Mobile Computing and Networking, 2000, p. 243–254.
    18. 18)
      • (2007) CC2420: ‘2.4 GHz IEEE 802.15.4/ZigBee-ready RF transceiver.
    19. 19)
      • Le, H., Guyennet, H., Felea, V.: `OBMAC: an overhearing based MAC protocol for wireless sensor networks', Int. Conf. Sensor Technologies and Applications, 2007, p. 547–553.
    20. 20)
    21. 21)
    22. 22)
      • K. Noh , E. Serpedin , K. Qaraqe . A new approach for time synchronization in wireless sensor networks: pairwise broadcast synchronization. IEEE Trans. Wirel. Commun. , 9 , 3318 - 3322
    23. 23)
      • Li, J., Jannotti, J., Couto, D., Karger, D., Morris, R.: `A scalable location service for geographic ad hoc routing', ACM MOBICOM, 2000, p. 120–130.
    24. 24)
      • He, T., Huang, C., Blum, B., Stankovic, J., Abdelzaher, T.: `Range-free localization schemes for large scale sensor networks', ACM MOBICOM, 2003, p. 81–95.
    25. 25)
      • Kranakis, E., Singh, H., Urrutia, J.: `Compass routing on geometric networks', Proc. 11th Canadian Conf. on Computational Geometry, August 1999, p. 51–54.
    26. 26)
      • W.D. Wang , Q.X. Zhu . RSS-based Monte-Carlo localization for mobile sensor networks. IET Commun. , 5 , 673 - 681
    27. 27)
      • Shah, D., Shakkottai, S.: `Oblivious routing with mobile fusion centers over a sensor network', Proc. IEEE INFOCOM, 2007, Anchorage, AK, USA, p. 1541–1549.
    28. 28)
      • Gandham, S.R., Dawande, M., Prakash, R., Venkatesan, S.: `Energy efficient schemes for wireless sensor networks with multiple mobile base stations', Proc. IEEE GLOBECOM, 2003, San Francisco, CA, p. 377–381.
    29. 29)
      • K. Ssu , C. Choua , L. Cheng . Using overhearing technique to detect malicious packet-modifying attacks in wireless sensor networks. Elsevier Comput. Commun. , 2342 - 2352
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2009.0197
Loading

Related content

content/journals/10.1049/iet-com.2009.0197
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address