Incentive Routing Design for Covert Communication in Multi-hop Decentralized Wireless Networks

Meng Xie, Jia Liu, Hiroki Takakura, Yang Xu, Zhao Li, N. Shiratori
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Abstract

In this paper, we focus on a multi-hop decentralized wireless network consisting of legitimate nodes, adversary wardens, and friendly but selfish jammers, and investigate the routing design for achieving covert communication. For a pair of source and destination nodes, we first provide theoretical analysis for a given route between them to reveal how the covertness performance is related to the jamming power of jammers in the network. Then, we design an incentive mechanism that stimulates selfish jammers to supply artificial jamming to protect communication covertness, by granting them rewards from the source. A two-stage Stackelberg game framework is developed to analyze the strategic interactions between the source and jammers, and so as to determine the optimal settings of rewards and jamming power. Based on these results, we formulate a shortest weighted path-finding problem to identify the optimal route for covert communication between the source and destination, which can be solved efficiently by employing Dijkstra's algorithm. Simulation results demonstrate the performance of the proposed incentive routing scheme.
多跳分散无线网络中隐蔽通信的激励路由设计
在本文中,我们重点研究了一个由合法节点、敌对守卫者和友好但自私的干扰者组成的多跳分散无线网络,并研究了实现隐蔽通信的路由设计。对于一对源节点和目标节点,我们首先对它们之间的给定路由进行了理论分析,揭示了网络中干扰器干扰功率与隐蔽性能的关系。然后,我们设计了一种激励机制,通过从源头给予奖励来激励自私的干扰者提供人工干扰以保护通信的隐蔽性。建立了两阶段Stackelberg博弈框架,分析了干扰源与干扰者之间的策略相互作用,从而确定了奖励和干扰功率的最优设置。在此基础上,我们提出了一个最短加权寻路问题,用于识别源和目标之间隐蔽通信的最优路径,该问题可以通过Dijkstra算法有效地解决。仿真结果验证了所提激励路由方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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