项目名称: 基于P2P的水声传感器网络中数据高效传输技术的研究
项目编号: No.61202370
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 计算机科学学科
项目作者: 徐明
作者单位: 上海海事大学
项目金额: 23万元
中文摘要: 水声传感器网络中的数据传输是用户发布控制信息和获取感知数据的根本途径。由于水声传感器网络具有移动性强、部署稀疏以及水声通信长延迟等特点,因此在大范围复杂海洋环境下,会出现网络易分割、数据传输易中断以及传输延迟长的问题,导致数据传输效率低下。本课题旨在利用P2P技术来支持水声传感器网络中数据的存储和路由,确保数据高效传输。研究内容包括以下两个方面:1)研究水声传感器网络中多维多属性数据在P2P网络中的分布式存储,并用进化博弈理论的方法进行簇大小的优化选择,提高路由效率;2)研究水声传感器网络节点在不同场景海况因素作用下具有时变系数的运动学模型,并提出一种基于场景预测的启发式路由协议来提高数据传输的效率,以适应大范围复杂海洋环境的应用需求。本课题的研究为解决水声传感器网络发展过程中的关键科学问题提供了新的思路和方法,对提高水声传感器网络的数据传输效率具有重要的理论意义和应用价值。
中文关键词: 水声传感器网络;数据传输;路由协议;介质访问控制协议;时间同步协议
英文摘要: Data transmission is a fundamental way for users to distribute control information and to acquire sense data in underwater acoustic sensor networks (UWASNs). Characteristics of high mobility, sparse distribution and long acoustic communication delay, UWASNs have been involved in the problems of network partition, transmission interruption and long propagation delay in large scale and complex ocean environment, which lead to low data transmission efficiency. This research aims at supporting data storage and routing utilizing P2P techniques to ensure efficient data transmission. The content includes the following two aspects: 1) distributed storage in P2P networks for multi-dimensional and multi-attribute data of UWASNs, and optimal selection of cluster sizes using methods of evolutionary game theory for enhancing routing efficiency; 2) kinematic models with time-varying coefficients of the nodes in UWASNs under oceanic conditions of different scenes, and also proposing a heuristic routing protocol based on scene prediction for impoving data transmission efficiency in order to adapt to large scale and complex ocean environment. This research provides novel ideas and methods for solving the key scientific problems in the development process of UWASNs, and also owns important theoretical significance and practical v
英文关键词: underwater acoustic sensor networks;data transmission;routing protocol;medium access control protocol;time synchronization protocol