接觸可預(yù)測的認(rèn)知自組織網(wǎng)絡(luò)動態(tài)多路徑機(jī)會路由模型及其穩(wěn)定性度量
[Abstract]:With the rapid development of wireless communication technology, the available spectrum resources become increasingly tight, especially with the rapid development of wireless local area network, wireless personal area network and wireless metropolitan area network. The current broadband wireless application technology has been unable to meet the needs of people. The current spectrum allocation system has resulted in rigid network usage and tight wireless spectrum planning, which makes it difficult to meet the development trend of intelligent, ubiquitous and integrated network communication technology in the future. As a combination of cognitive radio technology and ad hoc network, the cognitive ad hoc network uses spectrum sharing cognitive radio system to develop the network from static mode to dynamic adaptive mode. To some extent, the shortage of spectrum resources is solved, and the adaptability of network to environment is improved. However, in cognitive ad hoc networks, the network topology is time-varying, which is easy to form a network island, which leads to frequent disconnection of links between cognitive nodes, which requires relay nodes to be stored and forwarded in multiple hops. Contact relationship prediction forwards packets to the destination node in dynamic opportunity routing mode. Therefore, the contact predictability method is used to describe the contact relationship between SU nodes in different network islands. Based on the characteristics of the contact-predictable cognitive ad hoc networks, the following research works are carried out: 1. In this paper, a dynamic multipath opportunistic routing algorithm, SefRoute., is proposed on the premise of the temporal variability of the available spectrum and the topology of the cognitive ad hoc networks. By using the distribution of electric field lines in the electromagnetic field, the locus of several disjoint paths is preliminarily determined, and the function of the probability of meeting between nodes is constructed by combining the relevant knowledge in the social network, and the centrality of the multivariate social relations is determined by the chance connection rate. Three important factors of similarity and trust are combined with the encounter probability of nodes. Based on the characteristics of cognitive ad hoc networks, the correlation functions of three important factors are constructed. Finally, the opportunity routing of multiple paths is determined on the basis of multiple disjoint paths. The simulation results show that the proposed SefRoute algorithm has good performance in the aspects of successful transmission rate and delay. Combining path stability with traffic type priority, a dynamic rate allocation algorithm for multipath routing is proposed. Considering the performance parameters of different types of services and introducing a traffic awareness factor, the path stability factor is taken into account on the basis of ensuring the traffic requirements of different types of services. A dynamic rate allocation model of multipath routing is established by using non-cooperative differential game, which is a mathematical tool. The optimal problem is constructed and the optimal solution is obtained. The simulation results show that the algorithm has good performance in different traffic requirements for QoS (quality of Service).
【學(xué)位授予單位】:河北工程大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN925
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