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无人机自组织网络路由算法研究

发布时间:2018-03-31 22:24

  本文选题:无人机自组网 切入点:移动与负载感知 出处:《电子科技大学》2014年硕士论文


【摘要】:目前,无人机的应用已经从军事领域逐渐渗透到民用的多个领域,例如灾害监测、地质勘测、交通管制、通信中继以及应急通讯等,并且在这些领域中已经取得了良好的应用成效。随着无人机应用不断的扩展,许多任务需要多架无人机的协同,因而无人机的发展开始呈现出网络化、编队化的趋势。无人机自组网已经受到了各国的相关研究机构以及军队等部门的关注,其中的关键技术尤其受到这些部门的重视,而无人机网络的路由技术就是受重视的关键技术其中之一。移动无线自组网的经典路由算法直接应用于无人机自组网中会导致分组投递率较低,端到端时延较高以及缺少网络安全保障等许多问题,影响了无人机自组网的通信性能。本文主要针对无人机自组网的路由算法中亟待解决的两个问题进行了研究。(1)针对无人机自组织网络的高移动性和负载不均衡的特点,在路由算法中引入移动感知、负载感知算法,并对多重最短路径算法进行改进,最终提出了一种基于移动与负载感知的多径OLSR路由算法(MLM-OLSR,Mobility and Load aware Multipath-OLSR),并通过仿真实验验证提出的该路由算法的优越性;(2)无人机自组网的应用场景一般具有复杂的网络安全环境,容易受到恶意网络节点的攻击,这些网络攻击对任务的执行以及其自身的生存有严重威胁,因此有必要对网络安全问题进行研究。虫洞攻击是一种极其隐蔽并且危害性极大的网络攻击,本文通过对虫洞攻击的研究,在MLM-OLSR路由算法的基础上,提出了一种安全感知的MLM-OLSR路由算法(Secure aware MLM-OLSR,SMLM-OLSR),该路由算法实现了防御虫洞攻击的能力。本文以QualNet仿真器为平台,对本文的两种路由算法分别进行建模仿真,并且通过一系列的仿真实验验证了新提出的两种路由算法达到了预期的设计目标,其中MLM-OLSR路由算法相对于经典的OLSR路由算法具有更高的分组投递率和更低的端到端时延,SMLM-OLSR路由算法较MLM-OLSR路由算法具有更好的防御虫洞攻击的能力。本文提出的路由算法可以应用到无人机自组网中,而且对其他MANET网络的路由算法研究具有一定的参考意义。
[Abstract]:At present, the application of UAV has gradually penetrated into many fields of civil use from the military field, such as disaster monitoring, geological survey, traffic control, communication relay and emergency communication, etc. With the continuous expansion of UAV applications, many missions need the cooperation of multiple UAVs, so the development of UAVs has begun to take on a network. The trend of formation. UAV ad hoc networks have attracted the attention of relevant research institutions and military departments of various countries, the key technologies of which have been paid particular attention to by these departments, The routing technology of UAV network is one of the most important technologies. The classical routing algorithm of mobile wireless ad hoc network can lead to low packet delivery rate. Many problems such as high end-to-end delay and lack of network security, This paper mainly focuses on the two problems that need to be solved in the routing algorithm of the Ad Hoc UAV network. (1) aiming at the characteristics of high mobility and load imbalance of the Ad Hoc UAV network, this paper mainly focuses on the two problems that need to be solved urgently in the routing algorithm of the Ad Hoc Unmanned aerial vehicle (UAV) Ad Hoc Network. Mobile awareness, load awareness and multiplex shortest path algorithm are introduced into the routing algorithm. Finally, a multipath OLSR routing algorithm based on mobility and load awareness is proposed. The simulation results show that the superiority of the proposed routing algorithm is the superiority of the proposed routing algorithm, and the application scenario of UAV Ad Hoc network generally has a complex network security environment. Vulnerable to malicious network nodes that pose a serious threat to the execution of tasks and to their own survival, Therefore, it is necessary to study the problem of network security. Wormhole attack is an extremely hidden and harmful network attack. Through the research of wormhole attack, on the basis of MLM-OLSR routing algorithm, In this paper, a secure aware MLM-OLSR-SMLM-OLSRA routing algorithm is proposed, which realizes the ability of defending against wormhole attacks. Based on the QualNet simulator, this paper models and simulates the two routing algorithms in this paper. And through a series of simulation experiments, it is verified that the two new routing algorithms have achieved the expected design goal. The MLM-OLSR routing algorithm has higher packet delivery rate and lower end-to-end delay than the classical OLSR routing algorithm. The SMLM-OLSR routing algorithm has better ability to defend against wormhole attack than the MLM-OLSR routing algorithm. The algorithm can be applied to UAV ad hoc network. Moreover, it has certain reference significance for the research of other MANET network routing algorithms.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:V279;TP393.08

【参考文献】

相关硕士学位论文 前1条

1 杨彬;MANET网络中OLSR路由协议研究与改进[D];电子科技大学;2013年



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