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A Logical Group Formation and Management Mechanism Using RSSI for Wireless Sensor Networks

  • Jihyuk Heo
  • Jin Ho Kim
  • Choong Seon Hong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5297)

Abstract

Wireless sensor network is a suitable technology for ubiquitous environment. However, in WSN, as the network size grows larger, overheads such as flooding, calculation and memory overhead rapidly increase as well. For reducing the overhead of Micro Controller Unit (MCU) calculation and energy consumption, partitioning of WSN in several groups and hierarchy is suggested. For group formation, these mechanisms typically utilize predesigned network group information or location aware algorithms. However, the existing methods which use network topology information have node distribution and scalability problem in dynamic networks. Also, methods which use location-awareness have energy consumption problems. Therefore, we suggest a logical group formation and management mechanism using sensor association information and received signal strength indication without using any additional devices. With the help of proposed mechanism, WSNs would have stability and long lifetime.

Keywords

Wireless sensor networks WSN logical group formation group management RSSI 

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References

  1. 1.
    IEEE Std. 802.15.4-2006, IEEE Standard for Information technology — Telecommunications and information exchange between systems — Local and metropolitan area networks — Specific requirements - Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs) (2006)Google Scholar
  2. 2.
    ZigBee Standards, ZigBee Document 053474r15, ZigBee Alliance (Febuary 2007)Google Scholar
  3. 3.
    Luo, H., Ye, F., Cheng, J., Lu, S., Zhang, L.: TTDD: Two-Tier Data Dissemination in Large-Scale Wireless Sensor Networks. Wireless Networks 11(1-2) (Febuary 2005)Google Scholar
  4. 4.
    Chu, H.-C., Jan, R.-H.: A GPS-less, outdoor, self-positioning method for wireless sensor networks. Ad Hoc Network 5(5) (July 2007)Google Scholar
  5. 5.
    Bulusu, N., Heidemann, J., Estrin, D.: GPS-less Low Cost Outdoor Localization for Very Small Devices. IEEE Personal Communications Magazine (October 2000)Google Scholar
  6. 6.
    Lee, J.W., Heo, J., Hong, C.S.: A Logical Group Formation and Key Distribution Scheme in WSN. Journal of Korea Institute of Information Scientists and Engineers 34(4), 296–304 (2007) (in Korean)Google Scholar
  7. 7.
    Miura, H., Sakamoto, J., Matsuda, N., Taki, H., Abe, N., Hori, S.: Adequate RSSI Determination Method by Making Use of SVM for Indoor Localization. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS, vol. 4252, pp. 628–636. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  8. 8.

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Jihyuk Heo
    • 1
  • Jin Ho Kim
    • 1
  • Choong Seon Hong
    • 1
  1. 1.Department of Computer EngineeringKyung Hee UniversitySochen-ri, Giheung-eup, Yongin-siSouth Korea

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