移动传感网在农业、工业、军事等领域有着广泛应用，数据收集是最基础和关键的操作，其性能极大地影响着应用效果。近年的研究大多针对工作周期长的网络和较为理想的通信环境，难以适用于各种实际环境。本项目从实际应用的角度出发，考虑具有极低工作周期的移动传感网，并综合考虑外部环境对无线通信干扰等因素，设计具有低延迟、低能耗特性的数据收集协议。主要研究：1) 基于部分邻居信息的节点移动性管理机制，根据部分邻居信息就可制定合理的节点移动方案（何时移动、往哪移动、移动速度等）；2) 结合节点移动模式的Sink行走路径规划，针对不同节点的移动模式动态制定出低延迟的Sink行走路径；3) 高可靠低延迟的定向角度数据传输算法，实现节点以多跳方式向移动Sink行走的方向提前进行数据传输，使得数据能够准确地被接收到。本项目的研究为恶劣环境中实际可用的数据收集提供了新的思路和技术手段，具有重要的理论和现实意义。

Mobile sensor networks have broad applications in a lot of fields such as agriculture, industry and military, etc. Data gathering is the most basic and important operation in the network. Its performance will largely affect the application effects. Recent researches are often focused on the networks with high duty-cycle and reliable communication, which are not suitable in practical environments. Our project faces on practical applications, and considers the mobile sensor networks with extremely low duty-cycle and unreliable communication. Our objective is to design a data gathering protocol with low latency and low energy consumption performances. Our research contents include: 1) Nodal mobility management mechanism based on partial neighbor information, which can help the nodes decide a reasonable motion scheme (including when to move, where to move, and their moving speeds). 2) Low-latency path programming for the Sink, which will be made dynamically according to different nodal movement models. 3) High reliable and low-latency directional angle data transmission algorithm, through which nodes can transmit their data toward the moving orientation of the Sink. The Sink can accept the data with high probability. The researches of our project provide new thoughts and technologies for practical and usable data gathering in harsh environments, which have important theoretical and practical significances.