项目名称: 软件定义传感网的网络重配置若干算法研究
项目编号: No.61471164
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 无线电电子学、电信技术
项目作者: 邓曙光
作者单位: 湖南城市学院
项目金额: 81万元
中文摘要: 本申请将软件定义网络技术与无线传感器网络相结合,提出软件定义传感网的架构,给出其定义,拟对其网络重配置技术进行系统深入地研究,包括覆盖优化、拓扑控制、路由优化机制等方面,力争在软件定义传感网相关理论和关键技术方面有所创新。具体研究内容及目标为:运用Voronoi图理论,寻求软件定义传感网全覆盖的最优感知半径分配方法以保证网络能量均衡,选择最优节点子集和其感知半径以达到目标区域的K-覆盖;基于单纯复形理论,研究软件定义传感网功率预配置中的边缘链群最小生成元高效、次优算法,以及快速、高效的软件定义传感网功率重配置迭代算法;研究基于多业务服务质量(QoS)的软件定义传感网路由优化机制,以保证多个业务同时进行数据传递和业务的QoS,并平衡传感器节点的剩余能量。本申请将通过深入的理论分析、计算机仿真并辅之必要的实验,验证所提算法的合理性,为将来能够应用于实际无线通信系统奠定基础。
中文关键词: 软件定义传感网;覆盖优化;拓扑控制;路由优化
英文摘要: Combining software defined network technology with wireless sensor network, the definition and architecture of software defined sensor network (SDSN) are proposed. The network reconfiguration technologies of SDSN including coverage optimization, topology control and routing optimization are researched in detail, in order to acquire the innovation achievements on the key technologies and related theories. The contents and objectives for this research are as follows. Firstly, the theory of Voronoi graph is used to search the optimal allocation of sensing radius to ensure the energy balance in full coverage, and also to find the optimal subset of sensor nodes and their sensing radius to achieve K-coverage on target region. Secondly, based on the theory of simplicial complex, the efficient calculating algorithm of edge chain group minimal generator is studied in the pre-power allocation, and the efficient iterative algorithm is also studied in the power reconfiguration. Finally, the optimal algorithm for routing is studied to guarantee the QoS requirement of each serve in the multi-serve transmission and to balance the residual energy of each sensor node in the whole SDSN. Through in-depth theoretical analysis, carefully designed computer simulation and necessary assistant experiments, the proposed algorithms will be verified. The proposal aims to systematically complete the above tasks, making valuable contributions to practical wireless communication systems.
英文关键词: Software-Defined Sensor Network;Coverage Optimization;Topology Control;Routing Optimization