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Sustainability Analysis of Opportunistic CR-IoT Network Employing Microwave Power Transfer
IEEE Transactions on Cognitive Communications and Networking ( IF 8.6 ) Pub Date : 2022-06-01 , DOI: 10.1109/tccn.2022.3179610
Asif Ahmed Sardar 1 , Dibbendu Roy 1 , Washim Uddin Mondal 2 , Goutam Das 1
Affiliation  

In this paper, we analyze a Cognitive Radio-based Internet-of-Things (CR-IoT) network comprising a Primary Network Provider (PNP) and an IoT operator. The IoT operator opportunistically accesses the licensed band to serve its IoT nodes. We employ the Microwave Power Transfer technique to harvest energy at IoT nodes for its superior energy transfer efficiency over long-distance. Due to the imperfect detection process, the IoT operator may jeopardize the PNP’s transmissions. To reduce the possibility of interference, the IoT operator may decide not to utilize a portion of perceived white space. Rest are used for data transmission and energy replenishment to maintain a balance between the average interference inflicted on PNP’s users and the Quality-of-Service (QoS) experienced by IoT nodes. The CR-IoT network is sustainable if the QoS requirements are satisfied and IoT nodes are not depleted of energy. We use Discrete Time Markov Chain method to model this framework. In contrast to the generic assumption that activities of PNP and IoT operator are mutually exclusive, our model incorporates possible overlaps between their activities to make it more realistic. Using our model, the sustainability region of the network can be obtained. The accuracy of our analysis is demonstrated via extensive simulation.

中文翻译:

采用微波功率传输的机会型 CR-IoT 网络的可持续性分析

在本文中,我们分析了一个基于认知无线电的物联网 (CR-IoT) 网络,该网络由一个主要网络提供商 (PNP) 和一个物联网运营商组成。物联网运营商机会主义地访问许可频段以服务其物联网节点。我们采用微波功率传输技术在物联网节点收集能量,以实现其卓越的长距离能量传输效率。由于检测过程不完善,物联网运营商可能会危及 PNP 的传输。为了减少干扰的可能性,物联网运营商可能决定不使用一部分感知到的空白空间。休息用于数据传输和能量补充,以维持对 PNP 用户造成的平均干扰和物联网节点所经历的服务质量 (QoS) 之间的平衡。如果满足 QoS 要求并且物联网节点没有耗尽能量,则 CR-IoT 网络是可持续的。我们使用离散时间马尔可夫链方法对该框架进行建模。与 PNP 和物联网运营商的活动相互排斥的一般假设相反,我们的模型结合了他们活动之间可能的重叠,使其更加现实。使用我们的模型,可以获得网络的可持续性区域。我们分析的准确性通过广泛的模拟得到证明。可以获得网络的可持续性区域。我们分析的准确性通过广泛的模拟得到证明。可以获得网络的可持续性区域。我们分析的准确性通过广泛的模拟得到证明。
更新日期:2022-06-01
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