Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks
The surveillance system, which is mainly used for detecting and tracking moving targets, is one of the most significant applications of wireless sensor networks. Up to present, received signal strength indicator is the most common measuring mean for estimating the distance in sensor networks. Howeve...
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Format: | Article |
Language: | English |
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Wiley
2018-03-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147718764875 |
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author | Zixi Jia Bo Guan |
author_facet | Zixi Jia Bo Guan |
author_sort | Zixi Jia |
collection | DOAJ |
description | The surveillance system, which is mainly used for detecting and tracking moving targets, is one of the most significant applications of wireless sensor networks. Up to present, received signal strength indicator is the most common measuring mean for estimating the distance in sensor networks. However, in the presence of noise, it is impossible to gain the accurate distance based on received signal strength indicator. In this article, we propose a new tracking scheme based on received signal strength difference, which is the difference value of received signal strength indicators between two neighboring sampling steps. Supposing the noise has a certain degree of correlation in a certain time interval, received signal strength difference can effectively reduce the negative impact from noise. The tracking algorithm based on received signal strength difference is built: The sensor nodes collectively estimate a possible zone of the target via the signs of received signal strength difference. Next, the possible zone is further immensely shrunk to the refined zone via the absolute values of received signal strength difference. Finally, we determine the target’s final location by choosing the reference dot with the minimum norm in the refined zone . The simulation results demonstrate that the proposed tracking method achieves higher localization accuracy than the typical received signal strength indicator–based scheme. The received signal strength difference–based method also has good generality and robustness with respect to the noises with different deviation values and the target following arbitrarily state model. |
format | Article |
id | doaj-art-6e0d5b5112184c44a952946c65dbb337 |
institution | Kabale University |
issn | 1550-1477 |
language | English |
publishDate | 2018-03-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj-art-6e0d5b5112184c44a952946c65dbb3372025-02-03T06:45:30ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-03-011410.1177/1550147718764875Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networksZixi Jia0Bo Guan1Faculty of Robot Science and Engineering, Northeastern University, Shenyang, ChinaDepartment of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USAThe surveillance system, which is mainly used for detecting and tracking moving targets, is one of the most significant applications of wireless sensor networks. Up to present, received signal strength indicator is the most common measuring mean for estimating the distance in sensor networks. However, in the presence of noise, it is impossible to gain the accurate distance based on received signal strength indicator. In this article, we propose a new tracking scheme based on received signal strength difference, which is the difference value of received signal strength indicators between two neighboring sampling steps. Supposing the noise has a certain degree of correlation in a certain time interval, received signal strength difference can effectively reduce the negative impact from noise. The tracking algorithm based on received signal strength difference is built: The sensor nodes collectively estimate a possible zone of the target via the signs of received signal strength difference. Next, the possible zone is further immensely shrunk to the refined zone via the absolute values of received signal strength difference. Finally, we determine the target’s final location by choosing the reference dot with the minimum norm in the refined zone . The simulation results demonstrate that the proposed tracking method achieves higher localization accuracy than the typical received signal strength indicator–based scheme. The received signal strength difference–based method also has good generality and robustness with respect to the noises with different deviation values and the target following arbitrarily state model.https://doi.org/10.1177/1550147718764875 |
spellingShingle | Zixi Jia Bo Guan Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks International Journal of Distributed Sensor Networks |
title | Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks |
title_full | Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks |
title_fullStr | Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks |
title_full_unstemmed | Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks |
title_short | Received signal strength difference–based tracking estimation method for arbitrarily moving target in wireless sensor networks |
title_sort | received signal strength difference based tracking estimation method for arbitrarily moving target in wireless sensor networks |
url | https://doi.org/10.1177/1550147718764875 |
work_keys_str_mv | AT zixijia receivedsignalstrengthdifferencebasedtrackingestimationmethodforarbitrarilymovingtargetinwirelesssensornetworks AT boguan receivedsignalstrengthdifferencebasedtrackingestimationmethodforarbitrarilymovingtargetinwirelesssensornetworks |