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Spatial Context-awareness in Vehicular Ad Hoc Networks

机译:车辆临时网络中的空间背景意识

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Distributed traffic information systems apply inter-vehicular ad hoc communication to disseminate road traffic information. The high amount of traffic information carried and flooded along the road network leads to superfluous forwarding, which is usually reduced by using rate- or spatial- adaptivity in the dissemination mechanisms. However, in certain cases due to the lack of context-aware information, the current protocols employing distributed spatial adaptivity will fail to achieve the desired performance. Therefore, an off-line heuristic algorithm (SPACE) was proposed in [1] to calculate on a digital map the Domain of Interest (Dol) of traffic jams. Based on this information, the dissemination protocol will be able to reduce more efficiently the superfluous forwarding. This paper takes a further step by proposing an Integer Linear Programming (ILP) formulation for Dol optimizations, and analytically investigating the effect of spatial context-awareness on traffic information dissemination. The behavior of such a dissemination protocol is also explored through extensive simulations. Important characteristics on spatial adaptivity regarding the information dissemination strategies are concluded from the analytical and simulation results.
机译:分布式交通信息系统应用车辆间临时通信来传播道路交通信息。沿着道路网络携带和淹没的高量交通信息导致多余的转发,这通常通过在传播机制中使用速率或空间适应性来降低。但是,在某些情况下由于缺乏上下文知识信息,采用分布式空间适应性的当前协议将无法达到所需的性能。因此,在[1]中提出了一种离线启发式算法(空间)以计算数码映射的交通拥堵的兴趣领域(DOL)。基于此信息,传播协议将能够更有效地减少多余的转发。本文通过提出用于DOL优化的整数线性规划(ILP)制定,并分析了空间背景知识对交通信息传播的影响。通过广泛的模拟还探讨了这种传播议定书的行为。关于信息传播策略的空间适应性的重要特征是从分析和模拟结果中得出的。

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