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Fuzzy-based beaconless probabilistic broadcasting for information dissemination in urban VANET
Ad Hoc Networks ( IF 4.8 ) Pub Date : 2020-08-18 , DOI: 10.1016/j.adhoc.2020.102285
Ankita Srivastava , Arun Prakash , Rajeev Tripathi

Multi-hop broadcasting in Vehicular Ad Hoc Network (VANET) is the basic building block for renovating on-road travel experiences because it supports message dissemination among a large number of travelers in real-time. In order to make forwarding decisions, 1-hop neighbor table is suggested to be maintained at each vehicle by exchanging beacon packets on a periodic basis. However, a network crowded with both data packets and beacons gives rise to broadcast storms, resulting in insignificant resource consumption. Therefore, a beaconless approach would be a better solution that can control packet flow throughout the network, owing to minimizing packet collision and drop rate. Some recent literature that does not rely on beacon information broadcasts ample amounts of data packets, promoting wastage of bandwidth. To handle such issues, a Fuzzy-based Beaconless Probabilistic Broadcasting Algorithms (FBBPA) is proposed to notify vehicles about an event in less broadcasting. It is a receiver oriented broadcast suppression technique, where the forwarding probability of the packets in vehicles’ buffer is decided on the basis of their distance, angular orientation, movement direction and buffer load delay. The resultant probability is used to reschedule the packet. Among all the packets in the vehicle's buffer, the one having the highest priority at an instant is broadcasted first. For accident and advertisement packets, the analysis through simulation reveals that the proposed algorithm outperformed the compared protocols in terms of reachability (Information coverage), average delay and saved rebroadcast.



中文翻译:

基于模糊的无信标概率广播在城市VANET中的信息传播

车载自组织网络(VANET)中的多跳广播是革新公路旅行体验的基本构件,因为它支持实时在大量旅行者之间传播消息。为了做出转发决定,建议通过定期交换信标数据包在每辆车上维护一跳邻居表。但是,一个同时充满数据包和信标的网络会引起广播风暴,导致资源消耗不大。因此,由于使分组冲突和丢失率最小化,无信标方法将是可以控制整个网络中的分组流的更好解决方案。最近一些不依赖信标信息的文献广播了大量的数据包,从而加剧了带宽浪费。为了解决这些问题,提出了一种基于模糊的无信标概率广播算法(FBBPA),以较少广播的方式通知车辆事件。这是一种面向接收机的广播抑制技术,其中,车辆缓冲区中的数据包的转发概率是根据其距离,角度方向,移动方向和缓冲区负载延迟来确定的。结果概率用于重新安排数据包。在车辆缓冲区中的所有数据包中,首先广播具有最高优先级的数据包。对于事故和广告数据包,通过仿真分析表明,该算法在可达性(信息覆盖),平均延迟和节省的重播方面均优于比较的协议。

更新日期:2020-08-18
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