项目名称: 低占空比传感器网络中实用高效的广播调度机制研究
项目编号: No.61502251
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 自动化技术、计算机技术
项目作者: 徐力杰
作者单位: 南京邮电大学
项目金额: 21万元
中文摘要: 在能量关键的无线传感器网络中,节点普遍采用低占空比的工作模式。然而,这样的工作模式却为实时高效的广播机制设计带来了巨大的挑战。本项目的研究目标是以实用性为主要设计原则,提出针对低占空比传感器网络的低延迟高能效的广播调度机制,以应对由低占空比操作所带来的对广播延迟和能效的挑战。本项目主要围绕现有工作的不足展开面向实用性的理论创新研究,其内容主要包括对研究问题、研究方法和研究对象三个方面的创新。在研究问题上,首次考虑了对低占空比传感器网络中广播能量公平性问题的研究;在研究方法上,创新性地考虑了通过充分利用无线媒介固有的广播属性来优化广播的能效;在研究对象上,重点研究了面向大数据的广播应用。本项目在面向实用性的基础上探索理论创新,将实用性贯穿于低延迟高能效的设计目标中,坚持以理论指导实际、以实际丰富理论的研究思路,强调理论研究的实用价值,进一步推动了无线传感器网络从理论研究逐步走向实际应用。
中文关键词: 低占空比传感器网络;广播调度;能量公平性;能耗优化;大数据广播
英文摘要: In energy-critical wireless sensor networks, sensor nodes are commonly working with low-duty-cycle mode. However, such mode makes a great challenge for us to design a well-performed broadcast scheme in terms of delay and energy metrics. In this project, we take practicability as the main design principal, and focus on how to design low-delay and energy-efficient broadcast scheduling schemes for low-duty-cycle sensor networks, so as to overcome the challenges of broadcasting under low-duty-cycle mode. Based on the shortages of the existing works, this project will make a practicability-oriented innovative research in terms of problem, method and object. For research problem, we are the first to consider the energy fairness problem for broadcasting in low-duty-cycle sensor networks; For research method, we creatively make the most of the inherent broadcast nature of wireless media to optimize the energy consumption for broadcasting; For research object, we mainly focus on the broadcast algorithms for bulk data. In general, this project explores the theoretical innovation based on practicability, and considers practicability into the design of low-delay and energy-efficient broadcast algorithms. This project insists on the combination between theory and practice and emphasizes the real value of theoretical research, it will gradually push forward wireless sensor networks from theoretical research towards real application.
英文关键词: low-duty-cycle sensor networks;broadcast scheduling;energy fairness;energy consumption optimization;bulk data broadcasting