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首页> 外文期刊>Sensors Journal, IEEE >Cognitive Radio Sensor Network With Green Power Beacon
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Cognitive Radio Sensor Network With Green Power Beacon

机译：具有绿色电源信标的认知无线电传感器网络

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摘要

In this paper, we propose a cognitive radio sensor network with green power beacon (PB) to solve spectrum and energy scarcity problems in the resource-limited wireless sensor networks. In the proposed model, a PB node harvests energy from ambient sources and transmits the harvested energy to cognitive sensor node (CSN) through in-band energy transmission. The CSN uses the received energy to transfer its data to the sink. Resource-constrained condition of sensor network motivates us to deploy random spectrum access scheme to control the interference between primary and secondary networks, and also self-interference inside the secondary network (i.e., between the CSN and the PB). This spectrum access scheme benefits from low hardware complexity and energy consumption. Using tools from queueing theory, we analyze the service rate of the CSN and primary network for both limited-battery as well as infinite-battery CSN. Then, by optimizing the spectrum access parameters of the PB and the CSN, service rate of the CSN is maximized, while the quality of service (QoS) constraint of primary network is satisfied. For each energy harvesting rate and QoS constraint, it is determined whether energy or spectrum or both are limiting the performance of the CSN. This result can be used to adopt proper solutions for improving the performance of the network.
机译：在本文中，我们提出了一种具有绿色功率信标（PB）的认知无线电传感器网络，以解决资源受限的无线传感器网络中的频谱和能量短缺问题。在提出的模型中，PB节点从环境源中收集能量，然后通过带内能量传输将收集的能量传输到认知传感器节点（CSN）。 CSN使用接收到的能量将其数据传输到接收器。传感器网络的资源受限状况促使我们部署随机频谱访问方案，以控制主要网络和次要网络之间的干扰，以及次要网络内部（即CSN和PB之间）的自干扰。这种频谱访问方案得益于较低的硬件复杂性和能耗。使用排队论中的工具，我们分析了有限电池和无限电池CSN的CSN和主网络的服务速率。然后，通过优化PB和CSN的频谱接入参数，最大化CSN的服务速率，同时满足主网络的服务质量（QoS）约束。对于每个能量收集速率和QoS约束，确定能量或频谱还是两者都限制了CSN的性能。此结果可用于采用适当的解决方案来提高网络性能。

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