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Social Tie Based Cooperative Jamming for D2D Communications in the Internet of Things

机译:基于社交关系的物联网中D2D通信的协作干扰

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With the proliferation of short-range networks and the prevalence of devices connected to these networks, the Internet of Things (IoT) has held the promise of improving our lives. Devices-to-device communication is considered to be an important part of the IoT. To address the limitation of physical layer security approaches based on single-antenna systems, cooperative jamming is a promising approach to enhance efficient cooperation among devices. In this paper, we study the cooperative interference problem of a two-layer network in which the upper social network (S*) is composed of people with different social ties and the lower layer network (P*) is composed of various physical devices. S* overlays P* by a connecting degree (Cd). We introduce game theory to simulate the cooperation willingness of jammers in S*, and prove the existence of Nash Equilibrium (NE) and design an algorithm to calculate the secrecy outage probability (SOP). Moreover, we introduce a susceptible-infective-recovery (SIR) spreading model to evaluate the performance, which believes that each jammer's initial state is likely to participate rather than certainly participate in the cooperation. Each jammer is considered to have three states: probable participation (P-state), obligatory participation (O-state) and non-participation (N-state). Experiments show that when social ties are strong among devices, jammers would be more willing to cooperate, contribute more to communication quality and have lower computational complexity on two-lay net-work. Our methods make jammers have more choices for updating status, and show that results would be better than without SIR characteristics under the same number of jammers.
机译:随着短距离网络的普及以及连接到这些网络的设备的普及,物联网(IoT)有望改善我们的生活。设备到设备的通信被认为是物联网的重要组成部分。为了解决基于单天线系统的物理层安全方法的局限性,协作干扰是增强设备之间有效协作的一种有前途的方法。在本文中,我们研究了两层网络的协作干扰问题,其中上层社交网络(S *)由具有不同社会关系的人组成,而下层网络(P *)由各种物理设备组成。 S *以连接度(Cd)覆盖P *。我们引入了博弈论来模拟干扰者在S *中的合作意愿,证明了纳什均衡(NE)的存在,并设计了计算安全中断概率(SOP)的算法。此外,我们引入了易感感染恢复(SIR)传播模型来评估性能,该模型认为每个干扰器的初始状态很可能会参与而不是肯定地参与合作。每个干扰器被认为具有三个状态:可能的参与(P状态),强制性参与(O状态)和不参与(N状态)。实验表明,当设备之间的社交联系牢固时,干扰者将更愿意合作,对通信质量做出更大贡献,并且在两层网络上的计算复杂度更低。我们的方法使干扰器有更多的更新状态选择,并且表明在相同数量的干扰器下,结果比没有SIR特性更好。

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