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Probabilistic source-based query subsumption in vehicular ad hoc networks

机译:基于概率的源基于车辆临时网络的查询综合

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The ongoing growth of wireless ad hoc networking makes efficient bandwidth usage a vital concern. Reducing data transmission redundancy is well-studied for stable network topologies but dynamic environments pose unique challenges because network state information obsolesces quickly. We test a probabilistic query-based subsumption model, varying query ranges and posting rates, in simulated mixed networks of vehicles and pedestrians using a controlled flooding routing protocol. We show this subsumption model substantially improves network throughput and speeds delivery of responses.
机译:无线临时网络的持续增长使得有效的带宽使用至关重要。降低数据传输冗余对于稳定的网络拓扑,但动态环境造成独特的挑战,因为网络状态信息很快过量。我们使用受控泛洪路由协议测试基于概率的基于查询的总结模型,改变查询范围和发布速率,这些车辆和行人的模拟混合网络。我们展示了该归档模型显着提高了网络吞吐量并速度速度提供了响应。

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