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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Series: | International Journal of Digital Multimedia Broadcasting |
Online Access: | http://dx.doi.org/10.1155/2010/741792 |
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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 |
work_keys_str_mv |
AT victorgau adaptiveprobabilisticbroadcastingoverdensewirelessadhocnetworks AT jenqnenghwang adaptiveprobabilisticbroadcastingoverdensewirelessadhocnetworks |
_version_ |
1716801853376692224 |