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Dynamic Spectrum Allocation Algorithm Research in Wireless Sensor Networks
Author: XieDan
Tutor: ZhuHongBo
School: Nanjing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Internet of Things Spectrum allocation The colored graph theory model
CLC: TP212.9
Type: Master's thesis
Year: 2012
Downloads: 58
Quote: 0
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Abstract
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In recent years, the Internet of things by the people's attention because of its rapid development . Another wave of wave of application development of the Internet of things this hot industry introduced a new service to our social production and lifestyle , but also set off the development of information industry , to become a new driving force for the development of information technology . However, with the continuous development of the Internet of Things technology , as well as the use of spectrum resources is becoming more frequent , to makes wireless spectrum shortage has become a bottleneck limit of Things continue development and application services . To ease tensions , our spectrum allocation in cognitive radio technology is introduced into the Internet of Things . Spectrum allocation algorithm to this wireless environment , the Internet of Things to improve spectrum utilization , efficient use of spectrum resources . This paper first introduces related to the concept of the Internet of Things and its different stages of development of the demand for spectrum resources , one of the key technologies of RFID technology at home and abroad in the specific application of the different bands were also described . Thus, we elicit three main models of dynamic spectrum allocation algorithm focuses on the most suitable for the Internet of Things a colored graph theory model . Dynamic spectrum allocation algorithm based on graph theory coloring theory did not consider the perception of the spectrum needs of the user , resulting in a lack of fairness and wasteful allocation of spectrum resources , as well as the time of spectrum allocation too much overhead . But also from the Internet of Things in the presence of a large number of intensive perception of the node , the paper presents the spectrum allocation algorithm based on a large number of intensive perceptual user demand . Simulation results show that the thesis proposed algorithm can reduce the perception of the user unmet demand for bandwidth , and also to reduce the computation time of the algorithm . This spectrum allocation fairness reflected , to adapt to the characteristics of the Internet of Things sensing users , is a viable method .
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor > Sensor applications
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