Adaptive probabilistic broadcasting over dense wireless ad hoc networks

作者：Gau Victor^*; Hwang Jenq Neng

来源：International Journal of Digital Multimedia Broadcasting, 2010, 2010.

DOI：10.1155/2010/741792

• Broadcasting methods
• Contention window size
• Data broadcasting
• Delivery ratio
• IEEE 802.11s
• Modeling and simulation
• Multihop
• Multisources
• Probabilistic broadcasting
• Saturated conditions
• Theoretical bounds

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.

• 出版日期2010