基于负载和优先级的MANET优化策略  

MANET load and priority based optimization strategy

作　　者：霍金海[1] 王钺[1] 徐赞新[2] 刘春国[1] 山秀明[1] 

机构地区：[1]清华大学电子工程系,北京100084 [2]航天科工集团二院二部,北京100854

出　　处：《清华大学学报（自然科学版）》2012年第9期1270-1274,共5页Journal of Tsinghua University(Science and Technology)

摘　　要：不确定的移动应用环境导致MANET网络性能失控的关联因素变得复杂,使得设计一个适用的MANET面临着诸多困难。该文针对基于无人机的MANET,探索关键网络参数约束下提升网络性能的优化策略。通过将MA-NET节点的负载和数据包优先级作为权重参数,将优化网络性能的无人机移动问题构造为无人机与MANET节点距离平方的加权和最小化的优化问题,进而提出一种基于负载和优先级加权质心的无人机移动策略。此外,仿真分析了网络负载、数据包优先级对网络性能的影响。研究结果表明:本文提出的无人机移动策略能够有效地提升数据包成功发送率,降低数据包平均时延。Various complex factors cause control problems in mobile ad hoe network （MANET） in uncertain mobile application scenarios. As a result, such MANET systems are difficult to design. This paper presents an optimization strategy for an unmanned aerial vehicle （UAV） assisted MANET that improves network performance for certain key network parameter constraints. The performance optimization problem for the UAV assisted MANET is formulated as a minimization of the sum of the weighted square of the distances between the UAVs and the network nodes with the node weights defined as a function of the load and packet priority. Then a movement strategy is given for the UAVs based on the weighted centroid of the loads and priorities. Simulations of the effects of load and packet priority on the network performance show that this method effectively improves the successful packet transmission rate and reduces the average packet delay.

关 键 词：移动自组网 无人机 移动中继 移动策略 

分 类 号：TP393.2[自动化与计算机技术—计算机应用技术]