无人机网络中基于博弈模型的GPSR协议周界转发优化算法

Zhu Jing, S. Binbin, Fu Wei, Wang Chengmin
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引用次数: 4

摘要

贪婪周边无状态路由协议(GPSR)是一种基于位置的无人机自组织网络路由协议。GPSR的数据转发过程可以分为贪婪转发和周长转发两种模式。当贪婪转发失败时,将其转换为周长转发。然而,在周界转发中使用右手定则寻找下一跳节点的传统方法存在绕行现象,这将使拓扑变化频繁的无人机网络面临开销过大的问题。为此,建立了基于博弈论的多属性竞价模型,用于周界转发阶段下一跳节点的选择。考虑转发角度和转发距离,设计了竞价节点的评分函数和收益模型。最后,通过比较多个投标节点的质量属性和投标价格,选择最优的下一跳节点。仿真结果表明,与传统的GPSR协议相比,优化后的算法在周界转发阶段可以降低发送延迟和网络开销,同时提高分组发送速率,适用于拓扑变化频繁的无人机网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPSR Protocol Perimeter Forwarding Optimization Algorithm Based on Game Model in UAV Network
Greedy Perimeter Stateless Routing Protocol (GPSR) is a position-based Unmanned Aerial Vehicle (UAV) Ad Hoc Network routing protocol. The data forwarding process of GPSR can be divided into two modes: greedy forwarding and perimeter forwarding. When greedy forwarding fails, it will be converted to perimeter forwarding. However, the traditional way of using the right hand rule to find the next hop node in the perimeter forwarding has the phenomenon of detour, which will make the UAV network with frequently changing topology face the problem of too much overhead. Therefore, a multi-attribute bidding model based on game theory is established to select the next hop node in the perimeter forwarding stage. Considering the forwarding Angle and distance, the scoring function and revenue model of bidding nodes are designed. Finally, the best next-hop node is selected by comparing the quality attributes and bidding prices of multiple bidding nodes. Simulation results show that, compared with the traditional GPSR protocol, the optimized algorithm used in perimeter forwarding stage can reduce delivery delay and network overhead while increasing packet delivery rate, which is suitable for the UAV network with frequent topology changes.
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