面向三维有向感知模型的无线多媒体传感器网络智能覆盖控制方法研究

Coverage control method is the most basic and important research field of the wireless multimedia sensor networks. But there are many deficiencies and problems in real application of the research achievements of coverage control technology. For example, the mismatch of the existing two-dimensional fan-shaped sensing models and the real 3D physical environments and the accuracy and efficiency of the coverage control algorithms has also to be promoted. And these problems restrict the application effect and application range. In order to solve these problems, this project will study on coverage control technology. On the one hand, this project aims to design a novel three-dimensional directional sensing model which could effectively describe the real sensing performance of the multimedia sensor nodes, based on which mathematical models for real coverage control problems will be established by means of topological method. On the other hand, intrinsic factors will be revealed after carefully analyzing and vital intelligent technologies such as evolutionary algorithms, adaptive adjustment strategies of weight vectors will be primarily studied to design a serial of advanced and effective intelligent coverage control methods. The new method will have a good ability to promote the regional coverage and network lifetime of wireless multimedia sensor network. And network-aware quality, monitoring, sensing and other communications services can get a best optimization at the same time. And the new method will provide reliable theoretical basis and technical support for the application in areas such as environmental monitoring. The research work of this project will improve the theory development and practical application of wireless multimedia sensor networks.

覆盖控制方法是无线多媒体传感器网络中最基本且最重要的研究内容，但由于现有二维扇形感知模型与真实三维物理环境不匹配，算法自身在收敛精度和计算效率等方面还存在明显不足，严重影响其实际应用效果并使应用范围受到限制。为此本项目将对覆盖控制方法进行系统而深入的研究，一方面拟设计出能够有效描述传感器节点实际感知性能的新型三维有向感知模型，应用拓扑理论建立实际覆盖控制问题的三维数学模型；另一方面，深入探究影响覆盖效果的内在因素，借此对覆盖控制算法中的进化机制、权向量自适应调整策略等多项关键智能优化技术进行改进。最终提供一套先进而高效的智能覆盖控制方法，有效提升无线多媒体传感器网络的网络生存期等性能指标，实现网络感知、监视、传感和通信等四项以上服务质量同时最优，为其在环境监测等领域的应用提供可靠的理论基础和技术支撑。本项目的研究将对无线多媒体传感器网络的理论发展和实际应用产生积极的推动意义。

覆盖控制是无线多媒体传感器领域的基础问题，鉴于现有感知模型无法准确描述传感器的覆盖效果，且覆盖控制算法自身在收敛精度等方面存在明显不足，为提升覆盖控制算法的实际覆盖效果，本项目在归纳现有文献的基础上，从建立模型和算法性能提升两方面进行并行研究，尝试提出一系列新的智能覆盖控制方法，具体包括以下内容：（1）建立新的三维有向感知模型，模拟无线多媒体传感器的实际覆盖效果；（2）建立5种面向三维有向感知模型的覆盖控制问题的数学模型，包括覆盖增强问题、二维全目标覆盖问题、三维全目标覆盖问题、覆盖节能问题以及同时优化四项服务质量；（3）提出子种群拉伸操作等策略，对共生生物搜索算法、引力搜索算法以及离子运动算法等进行改进，进而提升单目标覆盖控制算法的收敛精度等性能；（4）提出多目标群集蜘蛛算法，此外，还设计新的自适应权向量分配方法改进分解多目标算法，进一步提升多目标覆盖控制方法的收敛性和分布性。本项目基本按照项目申请书和计划书要求，共计发表篇学术论文16篇、申请国家发明专利2项、撰写著作1部，其中包括SCI检索论文2篇、EI期刊检索论文7篇、EI期刊录用论文3篇，较好地达到了预期目标，完成预定研究任务。上述研究成果对无线多媒体传感器网络的理论发展和实际应用产生积极的推动作用，具有一定的学术意义和实际工程应用价值。

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