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Countermeasures Against Jamming Attack in Sensor Networks with Timing and Power Constraints

机译:具有时间和功率约束的传感器网络中的干扰攻击对策

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In a typical wireless sensor network (WSN), a central controller collects information from multiple sensors which are battery operated. The challenging problem is how to minimize the number of re-transmissions or increase the sleep time of sensors without compromising on the timeliness of the sensed information. The age of information (AoI) is a recently proposed measure of freshness or timeliness of the sensed information at the central controller. The problem becomes even more challenging under the denial of service attack from in-band full duplex jammers. Such jammers can sense the transmissions while injecting interference allowing them to react instantaneously with the transmission strategies. We develop a decision making policy for the central controller to combat such jammers with an aim to minimize the number of re-transmissions without compromising on the AoI. To boost the anti-jamming capability of the WSN, we introduce three modes for sensors: sleep, silent and transmit. We then jointly optimize the decision of when to switch the operating mode of each sensor and when to hop to a new channel using Markov Decision Process. We validate the superiority of the proposed strategy via extensive simulation results considering various parameters such as switching cost, transmission cost, failure to meet AoI cost and channel qualities.
机译:在典型的无线传感器网络(WSN)中,中央控制器从多个由电池供电的传感器收集信息。具有挑战性的问题是如何在不影响感测信息的及时性的情况下,最大程度地减少重传次数或增加传感器的睡眠时间。信息的年龄(AoI)是最近提出的一种在中央控制器上测量感测到的信息的新鲜度或及时性的措施。在带内全双工干扰器拒绝服务攻击的情况下,该问题变得更加具有挑战性。这样的干扰器可以在注入干扰的同时感知传输,从而使它们立即对传输策略做出反应。我们为中央控制器制定了一项决策政策,以抗击此类干扰,目的是在不影响AoI的前提下最大程度地减少重新传输的次数。为了增强WSN的抗干扰能力,我们为传感器引入了三种模式:睡眠,静音和发送。然后,我们使用Markov决策过程共同优化何时切换每个传感器的操作模式以及何时跳转到新通道的决策。我们通过考虑各种参数(例如交换成本,传输成本,无法满足AoI成本和信道质量)的广泛仿真结果,验证了所提出策略的优越性。

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