ADAPTIVE ESTIMATION AND PI LEARNING SPRING-RELAXATION TECHNIQUE FOR LOCATION ESTIMATION IN WIRELESS SENSOR NETWORKS

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 6 , ISSUE 1 (February 2013) > List of articles

ADAPTIVE ESTIMATION AND PI LEARNING SPRING-RELAXATION TECHNIQUE FOR LOCATION ESTIMATION IN WIRELESS SENSOR NETWORKS

Li Haiyan / Hu Yun-an * / Zhu Min

Keywords : Wireless Sensor Networks, Location Estimation, Adaptive Estimation, Spring-Relaxation Technique, PI learning.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 1, Pages 317-332, DOI: https://doi.org/10.21307/ijssis-2017-542

License : (CC BY-NC-ND 4.0)

Received Date : 14-October-2012 / Accepted: 06-January-2013 / Published Online: 20-February-2013

ARTICLE

ABSTRACT

In order to reduce the location estimation error in Wireless Sensor Network(WSN). A localization algorithm is proposed combining adaptive estimation, PI-learning and spring-relaxation techniques for wireless sensor networks in this paper. Our proposed method takes the advantages of the spring-relaxation technique, thus it inherits its simplicity. The overall accuracy of the location estimations is improved by introducing adaptive estimation and PI-learning. Moreover, it requires only a few beacons with known locations to compute the location estimates of all sensors. Simulation examples demonstrate the overall accuracy of the proposed method.

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REFERENCES

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For Location Estimation in Wireless Sensor Networks332

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