A flexible and controllable movement-assisted software-defined sensor network ( MA-SDSN) based on the software-defined network ( SDN ) and network function virtualization ( NFV ) is proposed. First, a three-layer fundamental architecture is proposed to overcome the inherent distributed management and rigidity of the conventional wireless sensor networks. Furthermore, the platform for research and development of MA-SDSN is established, and the dumb node ( DN) , the software-defined node ( SN) and the movement-assisted node ( MN ) are designed and implemented. Then, the southbound application programming interface ( API) is designed to provide a series of frames for communication between controllers and sensor nodes. The northbound API is developed and demonstrated overall and in detail. The functions of the controller are presented including topology discovery, dynamic networking, packet processing, mobility management and virtualization. Followed by the MA-SDSN network model, a Markov chain-based movement-assisted weighted relocation ( MMWR ) topology control algorithm is proposed to redeploy the MNs based on the node status and weight. Simulation results and analysis indicate that the proposed algorithm based on the MA-SDSN extends network lifetime with a lower average power consumption.%基于软件定义网络( SDN)和网络功能虚拟化( NFV)技术提出了一种灵活可控的移动节点辅助软件定义传感网络( MA-SDSN) .首先,提出了3层网络架构来克服传统无线传感器网络( WSN)固有的分布式管理和网络僵化问题.然后,搭建了MA-SDSN网络研究开发平台,实现了哑结点、软件定义节点和移动辅助节点,设计了南向接口从而为控制器和传感器节点之间提供一系列通信帧,开发实现了北向接口,对网络控制器的具体功能(包括拓扑发现、动态组网、帧处理、移动性管理和虚拟化等)进行了详细阐述.在提出的MA-SDSN网络模型的基础上,设计了基于移动节点和节点权重的马尔可夫链重定位( MMWR)拓扑控制算法.仿真和分析表明,提出的MMWR算法降低了平均节点能耗从而有效扩展了网络生命期.
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