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Research On Energy Acquisition Technology Of Multichannel Sensor Network Based On Cognitive Radio

Posted on:2022-11-13Degree:MasterType:Thesis
Country:ChinaCandidate:ZAFAR AYESHAFull Text:PDF
GTID:2518306761467824Subject:Automation Technology
Abstract/Summary:PDF Full Text Request
The cognitive wireless sensor Network(CRSN)alleviates the current situation of insufficient spectrum resources and increasingly serious interference problems in traditional wireless sensor network(WSN).Cognitive radio based on energy collection is a new wireless communication technology with high spectrum utilization rate and self-sustainable energy.It is an effective solution under the situation of increasingly scarce spectrum resources and urgent situation of energy conservation and emission reduction.In order to improve the efficiency of spectrum utilization and realize self-perpetuation of energy,cognitive radio system based on energy collection is an effective technical means to realize the above vision.In cognitive radio systems based on energy collection,how to design perceptual access strategies to ensure energy balance and make full use of spectrum opportunities is the core problem.In this thesis,the iot nodes are combined with cognitive radio technology,focusing on the research of perceptual access strategy,and a multi-channel sensor network energy acquisition architecture based on cognitive radio is proposed,and the excitation mode of using RF devices to obtain energy is discussed.The main work and innovations are as follows :1)To obtain energy competently the secondary nodes are allowed to gain energy from the primary nodes.The primary nodes have different power capability(Antenna Gain).2)The secondary nodes are enabled with CR techniques,so that it can sense the vacant spectrum without any external assistance.3)In order to improve the network structure,the idea of multi-channel perception is proposed which is the coverage areas of the primary node allow to overlap with each other,that is,when the secondary node is in the overlap area of the primary node,it can sense multiple channels at the same time,and choose to transmit data or receive energy from the ideal spectrum.Research shows that this architecture takes less time for the node to harvest energy than a normal architecture,as well as the channel load could also be drastically lessened and channel usage can be improved.
Keywords/Search Tags:Cognitive Wireless Sensor Networks, cognitive radio, IoT nodes, Energy harvesting, multi-Channel sensing
PDF Full Text Request
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