CIF: Small: Theory and Codes for Intermittent and Sparse Communication

CIF：小：间歇和稀疏通信的理论和代码

• 批准号: 1017772
• 负责人: Gregory Wornell
• 金额: $ 46.5万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017772&HistoricalAwards=false
• 关键词: CIF; Small; Theory; Codes; Intermittent

Growing interest in sensor networks and other wireless communication network infrastructure for a host of applications presents important engineering challenges. In particular, there is a need to deliver data quickly and reliably in harsh environments, using often very scarce energy and bandwidth resources. Compared with traditional networks, a distinguishing feature of communication in many emerging applications is the inherent sparseness of communication---that is,communication between participating nodes is highly intermittent. For example, a sensor node may send a few hundred bits of information every few days. In such cases, there is not only uncertainty due to noise to contend with, but timing uncertainty as well. Such transmission profiles create unique challenges, due to the requirement to synchronize with the receiver each time. As a result, for short transmissions, traditional synchronization approaches can consume a disproportionate share of the available resources.This research develops and analyzes models for asynchronous communication suitable for such applications, starting with basic single-user channels and proceeding to broader multiuser and network scenarios. The investigation studies fundamental limits and trade-offs associated with such models, and pursues architectures,protocols, and practical codes for resource-efficient communication in such settings. Because such models explicitly incorporate the lack of prior synchronization in the communication, the associated coding schemes of interest ensure reliable communication in the presence of such timing uncertainty. The research uses such models to assess the relative value of different candidate sparse communication architectures, including quantifying the inefficiency of traditional architectures in which synchronization and communication subsystems are separate, over an approach in which synchronization and communication are combined.

人们对传感器网络和其他无线通信网络基础设施的兴趣与日俱增，这对许多应用程序提出了重要的工程挑战。特别是，需要在恶劣的环境中使用非常稀缺的能源和带宽资源快速可靠地传输数据。与传统网络相比，在许多新兴应用中，通信的一个显著特征是固有的稀疏性-即，参与节点之间的通信是高度间歇性的。例如，传感器节点可能每隔几天发送几百比特的信息。在这种情况下，不仅存在由于噪声引起的不确定性，而且还有时间不确定性。由于每次都需要与接收器同步，这样的传输配置文件产生了独特的挑战。因此，对于较短的传输，传统的同步方法可能会消耗不成比例的可用资源。本研究从基本的单用户信道开始，深入到更广泛的多用户和网络场景，开发并分析了适用于此类应用的异步通信模型。调查研究与此类模型相关的基本限制和权衡，并追求在此类环境中实现资源高效通信的体系结构、协议和实用代码。因为这样的模型明确地在通信中结合了先验同步的缺乏，所以相关的感兴趣的编码方案确保在存在这种定时不确定性的情况下可靠的通信。该研究使用这样的模型来评估不同候选稀疏通信体系结构的相对价值，包括量化传统体系结构中同步和通信子系统是分开的，而不是同步和通信相结合的方法。