Hybrid Training with Binary Search Protocol for Wireless Sensor Networks

Locationing problem in Wireless Sensor Networks(WSNs) can be viewed as a general distributed sensor problem. It is with sensors that can discover other nodes or estimate ranges between nodes, that serve as position references. In this paper, we show that sensors acquire coarse-grain location awarene...

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Main Authors: Ruzana Ishak, Qingwen Xu, Stephan Olariu, Shaharuddin Salleh
Format: Article
Language:English
Published: Hindawi Limited 2007-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2007/929432
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spelling doaj-a550f66086ab4d70a778c63322d1750b2021-07-02T03:50:37ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2007-01-0133-423324910.1155/2007/929432Hybrid Training with Binary Search Protocol for Wireless Sensor NetworksRuzana Ishak0Qingwen Xu1Stephan Olariu2Shaharuddin Salleh3Department of Science (Mathematics), UTM CityCampus, 54100 Kuala Lumpur, MalaysiaDepartment of Computer Science, Old Dominion University, Norfolk, Virginia 23529, USADepartment of Computer Science, Old Dominion University, Norfolk, Virginia 23529, USADepartment of Mathematics, Universiti Teknologi Malaysia, 81310 Johor Bahru, MalaysiaLocationing problem in Wireless Sensor Networks(WSNs) can be viewed as a general distributed sensor problem. It is with sensors that can discover other nodes or estimate ranges between nodes, that serve as position references. In this paper, we show that sensors acquire coarse-grain location awareness by the training protocol. The training protocol which hybrids the synchronization and training procedure. In this protocol, synchronization and training are combined into one scheme. The sink node sends two beacons in each slot instead of one. In the training, sensor searching for its location using a binary search scheme. Our simulation results shown less number of cycles needed for training.http://dx.doi.org/10.1155/2007/929432
collection DOAJ
language English
format Article
sources DOAJ
author Ruzana Ishak
Qingwen Xu
Stephan Olariu
Shaharuddin Salleh
spellingShingle Ruzana Ishak
Qingwen Xu
Stephan Olariu
Shaharuddin Salleh
Hybrid Training with Binary Search Protocol for Wireless Sensor Networks
Mobile Information Systems
author_facet Ruzana Ishak
Qingwen Xu
Stephan Olariu
Shaharuddin Salleh
author_sort Ruzana Ishak
title Hybrid Training with Binary Search Protocol for Wireless Sensor Networks
title_short Hybrid Training with Binary Search Protocol for Wireless Sensor Networks
title_full Hybrid Training with Binary Search Protocol for Wireless Sensor Networks
title_fullStr Hybrid Training with Binary Search Protocol for Wireless Sensor Networks
title_full_unstemmed Hybrid Training with Binary Search Protocol for Wireless Sensor Networks
title_sort hybrid training with binary search protocol for wireless sensor networks
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2007-01-01
description Locationing problem in Wireless Sensor Networks(WSNs) can be viewed as a general distributed sensor problem. It is with sensors that can discover other nodes or estimate ranges between nodes, that serve as position references. In this paper, we show that sensors acquire coarse-grain location awareness by the training protocol. The training protocol which hybrids the synchronization and training procedure. In this protocol, synchronization and training are combined into one scheme. The sink node sends two beacons in each slot instead of one. In the training, sensor searching for its location using a binary search scheme. Our simulation results shown less number of cycles needed for training.
url http://dx.doi.org/10.1155/2007/929432
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AT qingwenxu hybridtrainingwithbinarysearchprotocolforwirelesssensornetworks
AT stephanolariu hybridtrainingwithbinarysearchprotocolforwirelesssensornetworks
AT shaharuddinsalleh hybridtrainingwithbinarysearchprotocolforwirelesssensornetworks
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