机器鱼传感网络的低能耗协作调度关键技术研究

项目名称： 机器鱼传感网络的低能耗协作调度关键技术研究

项目编号： No.61472050

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 计算机科学学科

项目作者： 沈艳

作者单位： 成都信息工程大学

项目金额： 85万元

中文摘要： 海洋和河流的深入开发以及水环境保护的需要促进水环境下机器鱼以及传感器网络的应用。在机器鱼传感网络中，能耗作为一个重要的约束条件，在控制调度中受到越来越多的重视。本项目以能耗敏感的机器鱼为研究对象，根据机器鱼传感网络在不同负载状态下数据采集、数据计算、数据传输以及鱼体运动等四个方面能耗的开销，确立时间、距离以及运动特征参数与能耗的关系，建立一种多参数融合的机器鱼能耗模型，并形成一种能够依赖应用要求，自适应调节的机器鱼动态节能策略。然后，在保证网络的覆盖率、连通性以及跟踪质量的前提下，将能耗模型融入控制机器鱼运动的算法中，设计一种能量感知的协作运动调度策略。同时，从整体上考虑机器鱼群的能量状态更新和拓扑控制两个方面，建立一种机器鱼传感网络能耗一致性控制方法，提高系统的能效比，以获得满意的目标跟踪性能。

中文关键词： 机器鱼；协作调度；低能耗；传感网络

英文摘要： The further exploitation of ocean and river, and protection of aquatic environment promote the applications of robotic fish and robotic fish-based sensor networks. In robotic fish-based sensor networks, as an important constraint, energy consumption has gained increasing attenttion on control scheduling. Firstly, robotic fish are used as research objects,energy consumptions generated by data acquisition, data computing,data transmitting and fish moving are measured, and the relationships of time, distance and moving parameters are determined. A multi-paramters energy consumption modeling is built and dynamic energy-saving scheme is proposed. Secondly,under the necessary condition of the network coverage rate, connectivity and tracking quality, the energy consumption model is integrated into robitic fish moving aglorithm and an energy efficient collaborative scheduling scheme is designed. Finally, the energy consumption consensus control theory for robotic fish-based sensor network is proposed based on the engergy state update and topology control. The energy-efficiency ratio of the system is improved and good tracking performanc is gained.

英文关键词： Robotic fish;Collaorative scheduling;Low power;Sensor networks