Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things

More recently, an increasing number of object-attached sensors are publishing their real-time state on the Internet by using state-of-the-art Web technologies, which make the sensor search service extremely important for the Web of Things (WoT). However, the existing issues that the sensor search se...

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Main Authors: Puning Zhang, Yuan-an Liu, Fan Wu, Bihua Tang
Format: Article
Language:English
Published: Wiley 2015-11-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/326780
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author Puning Zhang
Yuan-an Liu
Fan Wu
Bihua Tang
author_facet Puning Zhang
Yuan-an Liu
Fan Wu
Bihua Tang
author_sort Puning Zhang
collection DOAJ
description More recently, an increasing number of object-attached sensors are publishing their real-time state on the Internet by using state-of-the-art Web technologies, which make the sensor search service extremely important for the Web of Things (WoT). However, the existing issues that the sensor search service is facing bring huge challenges to the design of matching state estimation scheme. In this paper, an architecture of high-efficiency content-based sensor search system is depicted to provide a prototype system for sensor search. And then a matching state estimation scheme is proposed in detail, including a sensor state prediction approach to accurately estimate future sensor readings and a match estimating and verifying approach to effectively classify and verify candidate sensors, in order to enhance the performance of our search system. Simulation results show that our matching state estimation scheme dramatically reduces the communication overhead of search system and achieves excellent performance in terms of recall ratio and precision ratio.
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institution OA Journals
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publishDate 2015-11-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-477dadf60bd347bab49d3ac0953c19032025-08-20T02:37:54ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-11-011110.1155/2015/326780326780Matching State Estimation Scheme for Content-Based Sensor Search in the Web of ThingsPuning ZhangYuan-an LiuFan WuBihua TangMore recently, an increasing number of object-attached sensors are publishing their real-time state on the Internet by using state-of-the-art Web technologies, which make the sensor search service extremely important for the Web of Things (WoT). However, the existing issues that the sensor search service is facing bring huge challenges to the design of matching state estimation scheme. In this paper, an architecture of high-efficiency content-based sensor search system is depicted to provide a prototype system for sensor search. And then a matching state estimation scheme is proposed in detail, including a sensor state prediction approach to accurately estimate future sensor readings and a match estimating and verifying approach to effectively classify and verify candidate sensors, in order to enhance the performance of our search system. Simulation results show that our matching state estimation scheme dramatically reduces the communication overhead of search system and achieves excellent performance in terms of recall ratio and precision ratio.https://doi.org/10.1155/2015/326780
spellingShingle Puning Zhang
Yuan-an Liu
Fan Wu
Bihua Tang
Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things
International Journal of Distributed Sensor Networks
title Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things
title_full Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things
title_fullStr Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things
title_full_unstemmed Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things
title_short Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things
title_sort matching state estimation scheme for content based sensor search in the web of things
url https://doi.org/10.1155/2015/326780
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AT yuananliu matchingstateestimationschemeforcontentbasedsensorsearchinthewebofthings
AT fanwu matchingstateestimationschemeforcontentbasedsensorsearchinthewebofthings
AT bihuatang matchingstateestimationschemeforcontentbasedsensorsearchinthewebofthings