Dynamic Spectrum Allocation Algorithm Research In Wireless Sensor Networks

In recent years, extensive attentions have been paid to rapid development of Internet of Things (IOT). The application and development of hot IOT industry provide a fresh new service manner for social production and living. It seems as a new wave of the information industry, becoming a new driven power in the course of the evolution of the human being. But meanwhile, spectrum resource has been more widely used. The scarceness of wireless spectrum hampers the development of IOT services. This thesis recommends spectrum allocation algorithm to relieve the current tense situation, which is one of cognitive radio key technologies. Spectrum allocation algorithm will play an important role in IOT system performance, which improves the utilization of spectrum resources and uses it effectively.At the beginning of this thesis, the concept of IOT and its demand at different stages of development are introduced. Then the thesis analyzes applications of RFID in different spectrum bands, which is one of key technologies in IOT. Based on the analysis, it introduces three models of the dynamic spectrum allocation algorithm. Among them, the algorithm which based on graph coloring theory is the most suitable algorithm for IOT. The disadvantage of these existing methods is that all of them not based on demands of sensitive users, which wasting spectrum resources and lacking of fairness in the course of spectrum allocating. So an improved spectrum allocation algorithm is given, which based on demands of sensitive users. Simulation shows that the proposed algorithm can meet users'demands better and it reduces the time of spectrum allocating. It adapts the feature of IOT, which has a large number of sensitive users.