Collaborative Research: Study of Wireless Ad-Hoc and Sensor Networks in a Finite Regime
Collaborative Research: Study of Wireless Ad-Hoc and Sensor Networks in a Finite Regime
批准号:
0728772
负责人:
Faramarz Fekri
金额:
$14.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-10-01 至 2011-09-30
中文摘要
无线自组织和传感器网络已被确定为最近在通信领域取得重大成功的故事。今天,它正在成为一项具有广泛应用范围的有前途的技术。由于相关网络问题的设计挑战,这些网络的全部潜力尚未实现。本研究旨在发展一个跨越随机图论、概率方法、通信和网络等前沿的研究领域。专注于有限无线网络(即具有少量或中等数量节点的网络)的分析和设计,现有的基于无限数量节点的渐近分析或基于仿真的方法都是不够的,这项工作有可能促进几个相关领域的知识和理解。无线网络的数学研究是这一领域的理论基础。在过去的十年中,人们对网络连通性、覆盖范围、可靠性、延迟、寿命、睡眠调度、吞吐量和容量等各种网络特性进行了一定程度的分析研究。这些分析研究大多集中在渐近情况下,即当节点的数量趋于无穷大时。为了研究有限(小型或中等规模)的网络,研究人员经常求助于计算机模拟和算法方法(如线性规划)。因此,有限网络的数学分析可能导致实际有用的公式在很大程度上被忽视了。本研究的目标是为有限无线自组织和传感器网络的设计、研究和优化开发一个通用框架。
英文摘要
Wireless ad hoc and sensor networking has been identified as a recent major success story in the field of communications. Today, it is emerging as a promising technology with an expansive range of applications. The full potential of these networks is yet to be realized as a result of design challenges in the related networking issues. This research seeks to develop a research area crossing frontiers in random graph theory, probabilistic methods, communications and networking. Focusing on the analysis and design of finite wireless networks (i.e., networks with small or moderate number of nodes), for which both existing asymptotic analysis based on infinite number of nodes or simulation based approaches are inadequate, the work has the potential to advance knowledge and understanding across several related fields. Mathematical study of wireless networks serves as a theoretical foundation for this area. During the last ten years a variety of network properties such as network connectivity, coverage, reliability, delay, lifetime, sleep scheduling, throughput and capacity have been analytically studied to some extent. The majority of these analytical studies have concentrated on asymptotic scenarios, i.e., when the number of nodes tends to infinity. To study finite (small or moderate-size) networks researchers often resort to computer simulations and algorithmic approaches (such as linear programming). Thus, mathematical analysis of finite networks that could result in practically-useful formulas has been largely ignored. The goal of this research is to develop a general framework for design, study, and optimization of finite wireless ad hoc and sensor networks.
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