earticle

논문검색

A Single Chord Localization Algorithm for Wireless Sensor Networks

초록

영어

This paper presents a novel range-free single chord localization algorithm with low energy consumption and high accuracy for wireless sensor networks. A mobile anchor node and a mobile reference node are employed to periodically broadcast beacon messages and reference messages, respectively. Each sensor node is equipped with a received signal strength indicator for comparing the signal strength. By using the edge function and the result of comparing signal strength, each sensor node only needs one chord on the communication circle for localization. Compared with previous approaches that require multiple chords, less beacon messages are required by the sensor nodes. In the proposed algorithm, the localization error mainly depends on the move distance interval. However, for the other approaches, large localization errors can be observed according to the angle between chords which may descend the localization accuracy dramatically. Analysis results indicate that the proposed algorithm is superior to other approaches in energy consumption and localization accuracy.

목차

Abstract
 1. Introduction
 2. Double Mobile Anchor Nodes Scheme
 3. The Proposed Algorithm
  3.1. Beacon Points Selecting Stage
  3.2. Localization Calculating Stage
  3.3. Location Result
 4. Analysis
  4.1. Constrains of Chord Length
  4.2. Obstacle Tolerance
  4.3. Energy Consumption
  4.4. Localization Accuracy
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Yong-Luo Shen Info. Sci. School, GuangDong Univ. of Finance & Economics, GuangZhou, 510320, P.R.China
  • Yuan Zhang Patent Examination Cooperation Center of the Paternt Office, SIPO, GuangZhou, 510530, P.R.China
  • Yu-Ping Hu Info. Sci. School, GuangDong Univ. of Finance & Economics, GuangZhou, 510320, P.R.China
  • Jun Zhang Info. Sci. School, GuangDong Univ. of Finance & Economics, GuangZhou, 510320, P.R.China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.