This paper focuses on the joint optimization of the Age of Information (AoI) and Signal to Interference plus Noise Ratio- (SINR-) oriented channel access problem under attack in the Wireless Sensor Networks (WSNs). Firstly, to overcome the uncertain, dynamic, and incomplete information constrains, an active probability model and a controlling channel model are proposed for the sensors and the receiving end, respectively. Secondly, to ensure the AoI and SINR of the data generated by the sensors when transmitted under attack, one utility function based on average AoI and SINR is defined. Then, considering the distributed feature of the channel access process, the joint optimization problem is formulated under the game theory structure. Then, a distributed learning algorithm is proposed to reach the Nash Equilibrium (NE) of the game. Finally, simulation results have verified the correctness and effectiveness of the proposed method.

中文翻译：

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攻击下基于信道访问的 AoI 和 SINR 联合优化：博弈论和分布式方法

本文重点研究无线传感器网络 (WSN) 中信息时代 (AoI) 和信号干扰加噪声比 (SINR) 导向的信道接入问题的联合优化。首先，为克服不确定性、动态性和不完整信息约束，分别针对传感器和接收端提出了主动概率模型和控制信道模型。其次，为了保证传感器在攻击下传输时产生的数据的 AoI 和 SINR，定义了一个基于平均 AoI 和 SINR 的效用函数。然后，考虑信道接入过程的分布式特征，在博弈论结构下制定联合优化问题。然后，提出了一种分布式学习算法来达到游戏的纳什均衡（NE）。最后，