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Efficient Power and Channel Allocation Strategies in Cooperative Potential Games for Cognitive Radio Sensor Networks

机译:用于认知无线电传感器网络的合作潜在游戏中的高效电力和信道分配策略

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摘要

In wireless cognitive sensor networks, natural antagonism arises among unlicensed users when nodes opportunistically compete for unused frequency bands and the operations are seriously hampered by acute scarcity of resources. The transmitted power, which is inherently pertinent to the signal-to-interference-plus-noise ratio (SINR), cognition methodology, and lack of central management, must be preserved for longer network lifetime. In the midst of this struggle to acquire desired frequency band, where the performance of the entire network is dependent upon the behavior and etiquette exhibited by individual nodes, it is pivotal to introduce an effective cooperation mechanism in order to improve the vital network parameters. In this paper, we employ the concepts of game theory to develop an efficient and sustainable cooperation mechanism for efficient cognition and improved spectrum utilization. The nodes exhibit autochthonous pattern in opting for spectrum choices, which results in acceptable level of cooperation and consequently improvement in spectrum utilization. In order to achieve this global benefit, the users are motivated to carefully analyze the impact of their own choice in selecting a channel for transmission and its peers.
机译:在无线认知传感器网络中,当节点机会竞争未使用的频带时,自然对抗在未经许可竞争的情况下,通过急性稀缺的资源严重阻碍了未经许可的用户。必须保留与信号对干扰 - 加噪声比(SINR),认知方法和缺乏中央管理相关的传输功率,以实现更长的网络寿命。在这种斗争中获取所需的频带,其中整个网络的性能取决于各个节点呈现的行为和礼仪,它是枢转的,以引入有效的合作机制,以改善重要的网络参数。在本文中,我们采用了博弈论的概念,为有效认知和改进的频谱利用制定了高效和可持续的合作机制。节点在选择频谱选择方面表现出自加起来的模式,这导致可接受的合作水平,从而改善频谱利用率。为了实现这一全球福利,用户有动力仔细分析自己选择在选择传输和同龄渠道方面的影响。

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