We propose an idle probability-based broadcasting method, iPro, which employs an adaptive probabilistic mechanism to improve\r\nperformance of data broadcasting over dense wireless ad hoc networks. In multisource one-hop broadcast scenarios, the modeling\r\nand simulation results of the proposed iPro are shown to significantly outperform the standard IEEE 802.11 under saturated\r\ncondition. Moreover, the results also show that without estimating the number of competing nodes and changing the contention\r\nwindow size, the performance of the proposed iPro can still approach the theoretical bound. We further apply iPro to multihop\r\nbroadcasting scenarios, and the experiment results show that within the same elapsed time after the broadcasting, the proposed\r\niPro has significantly higher Packet-Delivery Ratios (PDR) than traditional methods.
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