视频传感网中K级冗余覆盖增强及多热点区域检测效能协同优化

Based on the deeply research of regional monitoring features and networking characteristics in directional wireless sensor network, this subject mainly studies such problems as coverage coordination mechanism in monitoring area, multiple hotspots K-coverage enhancement algorithm, monitoring of streaming media transmission model, prompt response and control flow, and researches the collaborative optimization of coverage efficiency of directional sensor nodes and monitoring streaming media transmission from the scope of the entire network, utilizing a series of optimization model such as the virtual potential field theory, streaming media transmission optimization, network traffic intelligent control and so on. Then, a set of methods is proposed. They are mobile hotspot K coverage enhancement optimization method based on the virtual potential field; distributed transmission structure tuning strategy based on information feedback particle swarm algorithm; adaptive AQM rapid response algorithm based on fuzzy logic control. On the basis of dynamic optimization locally, an application algorithm that conforms with the actual demand of engineering is proposed. According to the quantitative analysis of some indicators, these proposed control methods are proved to have the optimization effect on the monitoring performance in the directional sensor network. Finally, this subject contributes to provide the theory, method and technical support for optimization researches and engineering applications of the regional surveillance in the directional sensor network.

本课题在深入研究有向无线传感网区域监测特性和组网特征的基础上，重点围绕监视区域覆盖协同机制、多热点K覆盖增强算法、监测流媒体传输建模、瞬发流量响应与控制等问题，基于虚拟势场理论、流媒体传输优化、网络流量智能控制等一系列优化模型对全网有向传感节点的覆盖效率与监测流传输进行协同优化研究。提出基于虚拟势场的多移动热点的K覆盖增强优化方法；提出基于信息反馈微粒群算法的分布式传输结构调优策略；提出基于模糊逻辑控制的自适应AQM快速响应算法。在局部动态寻优的基础上，提出符合工程实际需要的应用算法，通过各项分析指标来进行量化分析，验证所提一系列控制方法对有向传感网监测性能的优化效果。最终为有向传感网的区域监测效能优化研究及其工程应用提供理论、方法和技术支持。

本课题对基于微观虚拟势场理论与各类有向传感网络的优化问题进行了详细的研究，提出一系列新的技术路线和优化方法。在研究工作中，完成了国内外相关文献查阅工作；在调研和分析的基础上，建立了有向传感网多热点覆盖模型；完成了仿真环境的设计与开发，实现了仿真环境下虚拟力运动特征的模拟计算与实验结果统计。之后，在仿真环境的基础上，研究了多热点环境下的多路径监测流模型。以仿真环境为基础，进一步分析了多热点监测启动环境下的不同监测流，对多媒体流的传输路径进行归并，引入微粒群优化控制方法寻找局部传输的带约束较优解，实现负载合理的分配和调度。同时，设计了全局优化目标函数为网络多信道协同传输最大值。在过程中，研究了多路径传输归并与瞬发流量关系考察监测流量随热点产生、移动、消失的整个覆盖流程，探讨局部路径寻优的有效性。分析热点从零覆盖至K覆盖的整个覆盖增强过程中，传感节点流媒体传输结构的变化过程，以及引入局部信息反馈后的粒子群优化效果。课题研究过程中，对所研究的核心内容发表了相关论文，且与实际系统相连接授权了数个发明专利与软件著作权。