Advertisement

A Geographical Cellular-Like Architecture for Wireless Sensor Networks

  • Xiao Chen
  • Mingwei Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3794)

Abstract

The mobility of sink and stimulus brings a huge challenge to WSN. It wishes that the location update packets be continuously transmitted through the sensor network to keep the data path between the sink and the source node sensing the stimulus. Unfortunately, frequent location update packets would not only result in excessive energy consumption of sensor node with highly energy constraint, but also increase the communication collision in wireless propagation. In this paper we propose a novel Geographical Cellular-like Architecture (GCA) for WSN, which can efficiently manage the mobility of both sink and stimulus. GCA proactively builds a cellular-like structure assisted by the geographical location of each node, where each cell includes a header and several members. The header acts as the role of base station in cellular network, receiving the information from sink and forwarding the data report; the members just take charge of watch-ing the target. Meanwhile, the hierarchical design of GCA can also save energy remarkably. The performance of GCA is evaluated through analysis and the simulation in ns2, which demonstrates that GCA is an efficient solution to mobility in WSN.

Keywords

Sensor Node Wireless Sensor Network Data Packet Load Balance Sink Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Pottie, G., Kaiser, W.: Wireless Integrated Network Sensors. Communication ACM 43, 51–58 (2000)CrossRefGoogle Scholar
  2. 2.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A Survey on Sensor Networks. IEEE Communication Magazine (2002)Google Scholar
  3. 3.
    Ye, F., Luo, H., Cheng, J., Lu, S., Zhang, L.: A Two-Tier Data Dissemination Model for Large-scale Wireless Sensor Networks. In: Proc. 8th Annu. ACM Int. Conf. Mobile Computing and Networking (MobiCom) (2002)Google Scholar
  4. 4.
    Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Routing Protocols for Wireless Microsensor Networks. In: Proc. 33rd Hawaii Int. Conf. System Sciences (HICSS), Maui, HI (2000)Google Scholar
  5. 5.
    Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: An Application-specific Protocol Architecture for Wireless Microsensor Networks. IEEE Transactions on Wireless Communications 1(4), 660–670 (2002)CrossRefGoogle Scholar
  6. 6.
    Manjeshwar, A., Agrawal, D.: TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks. Int. Proc. 15th Parallel and Distributed Processing Symposium (2001)Google Scholar
  7. 7.
    Lindsey, S., Raghavendra, C.: PEGASIS: Power-Efficient Gathering in Sensor Information Systems. In: Int. Conf. on Communications (2001)Google Scholar
  8. 8.
    William Stallings: Wireless Communications and Networks. Prentice Hall, Inc., Englewood Cliffs (2003)Google Scholar
  9. 9.
    UCB/LBNL/VINT Network Simulator - ns2. Available: http://www.isi.edu/nsnam/ns/
  10. 10.
    Luo, J., Hubaux, J.-P.: Joint Mobility and Routing for Lifetime Elongation in Wireless Sensor Networks. In: IEEE InfoCom (2005)Google Scholar
  11. 11.
    Karp, B., Kung, H.T.: GPSR: Greedy Perimeter Stateless Routing for Wireless Networks. In: Proc. 6th Annu. ACM Int. Conf. Mobile Computing and Networking (MobiCom) (2000)Google Scholar
  12. 12.
    Yu, Y., Govindan, R., Estrin, D.: Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks. Technical Report, UCLA/CSD-TR-01-0023 (2001)Google Scholar
  13. 13.
    Cheng, X., Thaeler, A., Xue, G., Chen, D.: TPS: A Time-Based Positioning Scheme for Outdoor Wireless Sensor Networks. In: IEEE InfoCom (2004)Google Scholar
  14. 14.
    Shang, Y., Ruml, W.: Improved MDS-Based Localization. In: IEEE InfoCom (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Xiao Chen
    • 1
  • Mingwei Xu
    • 1
  1. 1.Department of Computer Science and TechnologyTsinghua UniversityBeijingP. R. China

Personalised recommendations