Adaptive Probabilistic Broadcasting over Dense Wireless Ad Hoc Networks

We propose an idle probability-based broadcasting method, iPro, which employs an adaptive probabilistic mechanism to improve performance of data broadcasting over dense wireless ad hoc networks. In multisource one-hop broadcast scenarios, the modeling and simulation results of the proposed iPro are...

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Main Authors: Victor Gau, Jenq-Neng Hwang
Format: Article
Language:English
Published: Hindawi Limited 2010-01-01
Series:International Journal of Digital Multimedia Broadcasting
Online Access:http://dx.doi.org/10.1155/2010/741792
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spelling doaj-16f6d5f7f28845cab6b9ff9662cc64aa2020-11-24T20:51:33ZengHindawi LimitedInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862010-01-01201010.1155/2010/741792741792Adaptive Probabilistic Broadcasting over Dense Wireless Ad Hoc NetworksVictor Gau0Jenq-Neng Hwang1Department of Electrical Engineering, University of Washington, Box 352500, Seattle, WA 98195, USADepartment of Electrical Engineering, University of Washington, Box 352500, Seattle, WA 98195, USAWe propose an idle probability-based broadcasting method, iPro, which employs an adaptive probabilistic mechanism to improve performance of data broadcasting over dense wireless ad hoc networks. In multisource one-hop broadcast scenarios, the modeling and simulation results of the proposed iPro are shown to significantly outperform the standard IEEE 802.11 under saturated condition. Moreover, the results also show that without estimating the number of competing nodes and changing the contention window size, the performance of the proposed iPro can still approach the theoretical bound. We further apply iPro to multihop broadcasting scenarios, and the experiment results show that within the same elapsed time after the broadcasting, the proposed iPro has significantly higher Packet-Delivery Ratios (PDR) than traditional methods.http://dx.doi.org/10.1155/2010/741792
collection DOAJ
language English
format Article
sources DOAJ
author Victor Gau
Jenq-Neng Hwang
spellingShingle Victor Gau
Jenq-Neng Hwang
Adaptive Probabilistic Broadcasting over Dense Wireless Ad Hoc Networks
International Journal of Digital Multimedia Broadcasting
author_facet Victor Gau
Jenq-Neng Hwang
author_sort Victor Gau
title Adaptive Probabilistic Broadcasting over Dense Wireless Ad Hoc Networks
title_short Adaptive Probabilistic Broadcasting over Dense Wireless Ad Hoc Networks
title_full Adaptive Probabilistic Broadcasting over Dense Wireless Ad Hoc Networks
title_fullStr Adaptive Probabilistic Broadcasting over Dense Wireless Ad Hoc Networks
title_full_unstemmed Adaptive Probabilistic Broadcasting over Dense Wireless Ad Hoc Networks
title_sort adaptive probabilistic broadcasting over dense wireless ad hoc networks
publisher Hindawi Limited
series International Journal of Digital Multimedia Broadcasting
issn 1687-7578
1687-7586
publishDate 2010-01-01
description We propose an idle probability-based broadcasting method, iPro, which employs an adaptive probabilistic mechanism to improve performance of data broadcasting over dense wireless ad hoc networks. In multisource one-hop broadcast scenarios, the modeling and simulation results of the proposed iPro are shown to significantly outperform the standard IEEE 802.11 under saturated condition. Moreover, the results also show that without estimating the number of competing nodes and changing the contention window size, the performance of the proposed iPro can still approach the theoretical bound. We further apply iPro to multihop broadcasting scenarios, and the experiment results show that within the same elapsed time after the broadcasting, the proposed iPro has significantly higher Packet-Delivery Ratios (PDR) than traditional methods.
url http://dx.doi.org/10.1155/2010/741792
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