接觸可預(yù)測(cè)的認(rèn)知自組織網(wǎng)絡(luò)動(dòng)態(tài)多路徑機(jī)會(huì)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(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TN925
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 劉春陽(yáng);朱琦;;認(rèn)知無(wú)線(xiàn)電中視頻通信功率速率聯(lián)合控制算法[J];南京郵電大學(xué)學(xué)報(bào)(自然科學(xué)版);2016年01期
2 鄭巍;潘倩;鄧宇凡;;移動(dòng)社交網(wǎng)絡(luò)中基于共同鄰居網(wǎng)絡(luò)中心度的鏈路預(yù)測(cè)方法[J];計(jì)算機(jī)應(yīng)用研究;2016年09期
3 王貽彬;倪衛(wèi)明;;認(rèn)知無(wú)線(xiàn)電中基于博弈論方法的聯(lián)合功率速率控制[J];計(jì)算機(jī)工程;2014年09期
4 許瑞琛;蔣挺;;基于POMDP的認(rèn)知無(wú)線(xiàn)電自適應(yīng)頻譜感知算法[J];通信學(xué)報(bào);2013年06期
5 ZHAO Yuan;JIN Shun-fu;TIAN Nai-shuo;;Non-saturated throughput analysis of IEEE 802.11-based cognitive radio networks[J];The Journal of China Universities of Posts and Telecommunications;2012年06期
6 王苗苗;李世銀;肖淑艷;孫科建;崔磊;;基于改進(jìn)D-S證據(jù)理論的認(rèn)知無(wú)線(xiàn)電頻譜感知算法[J];電訊技術(shù);2012年08期
7 楊雙懋;郭偉;唐偉;;一種最大化網(wǎng)絡(luò)吞吐量的認(rèn)知無(wú)線(xiàn)Ad Hoc網(wǎng)絡(luò)跨層優(yōu)化算法[J];計(jì)算機(jī)學(xué)報(bào);2012年03期
8 關(guān)宏博;張廣春;;認(rèn)知無(wú)線(xiàn)電中基于博弈論的聯(lián)合功率和速率控制算法[J];計(jì)算機(jī)科學(xué);2011年S1期
9 俎云霄;周杰;;基于組合混沌遺傳算法的認(rèn)知無(wú)線(xiàn)電資源分配[J];物理學(xué)報(bào);2011年07期
10 顧金媛;章國(guó)安;包志華;;認(rèn)知無(wú)線(xiàn)Mesh網(wǎng)絡(luò)聯(lián)合多路徑路由和信道分配策略[J];計(jì)算機(jī)科學(xué);2011年05期
,本文編號(hào):2314703
本文鏈接:http://www.lk138.cn/kejilunwen/xinxigongchenglunwen/2314703.html