Random Walk Based Location Prediction in Wireless Sensor Networks

Random Walk Based Location Prediction in Wireless Sensor Networks

With the development of wireless sensor network (WSN) technologies, WSNs have been applied in many areas. In all WSN technologies, localization is a crucial problem. Traditional localization approaches in WSNs mainly focus on calculating the current location of sensor nodes or mobile objects. In thi...

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Main Authors: Zhaoyan Jin, Dianxi Shi, Quanyuan Wu, Huining Yan
Format: Article
Language:English
Published: SAGE Publishing 2013-12-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/691042
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spelling doaj-5ca1bfab84254cc8b006bb7b1a21c5582020-11-25T03:10:04ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-12-01910.1155/2013/691042691042Random Walk Based Location Prediction in Wireless Sensor NetworksZhaoyan JinDianxi ShiQuanyuan WuHuining YanWith the development of wireless sensor network (WSN) technologies, WSNs have been applied in many areas. In all WSN technologies, localization is a crucial problem. Traditional localization approaches in WSNs mainly focus on calculating the current location of sensor nodes or mobile objects. In this paper, we study the problem of future location prediction in WSNs. We assume the location histories of mobile objects as a rating matrix and then use a random walk based social recommender algorithm to predict the future locations of mobile objects. Experiments show that the proposed algorithm has better prediction accuracy and can solve the rating matrix sparsity problem more effectively than related works.https://doi.org/10.1155/2013/691042
collection DOAJ
language English
format Article
sources DOAJ
author Zhaoyan Jin
Dianxi Shi
Quanyuan Wu
Huining Yan
spellingShingle Zhaoyan Jin
Dianxi Shi
Quanyuan Wu
Huining Yan
Random Walk Based Location Prediction in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
author_facet Zhaoyan Jin
Dianxi Shi
Quanyuan Wu
Huining Yan
author_sort Zhaoyan Jin
title Random Walk Based Location Prediction in Wireless Sensor Networks
title_short Random Walk Based Location Prediction in Wireless Sensor Networks
title_full Random Walk Based Location Prediction in Wireless Sensor Networks
title_fullStr Random Walk Based Location Prediction in Wireless Sensor Networks
title_full_unstemmed Random Walk Based Location Prediction in Wireless Sensor Networks
title_sort random walk based location prediction in wireless sensor networks
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2013-12-01
description With the development of wireless sensor network (WSN) technologies, WSNs have been applied in many areas. In all WSN technologies, localization is a crucial problem. Traditional localization approaches in WSNs mainly focus on calculating the current location of sensor nodes or mobile objects. In this paper, we study the problem of future location prediction in WSNs. We assume the location histories of mobile objects as a rating matrix and then use a random walk based social recommender algorithm to predict the future locations of mobile objects. Experiments show that the proposed algorithm has better prediction accuracy and can solve the rating matrix sparsity problem more effectively than related works.
url https://doi.org/10.1155/2013/691042
work_keys_str_mv AT zhaoyanjin randomwalkbasedlocationpredictioninwirelesssensornetworks
AT dianxishi randomwalkbasedlocationpredictioninwirelesssensornetworks
AT quanyuanwu randomwalkbasedlocationpredictioninwirelesssensornetworks
AT huiningyan randomwalkbasedlocationpredictioninwirelesssensornetworks
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