Scalable scheduling and transmission for sensor systems

传感器系统的可扩展调度和传输

• 批准号: 0514243
• 负责人: Rajit Manohar
• 金额: --
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-06-15 至 2009-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0514243&HistoricalAwards=false
• 关键词: Scalable; scheduling; transmission; sensor; systems

A good archetype for a sensor network is that of a technology that consists of large set of independent devices that, through communications, can reach consensus on the fly on events that occur in an area they monitor, a region, which is large, compared to their size and communication range. This project has three main research thrusts that will contribute to build such infrastructure: 1) the scheduling of the sensor transmissions; 2) the synchronization 3) the physical layer transmission architecture. The ideas we propose are distributed, cooperative and data driven and challenge some of the conventional wisdom used in building communication networks today which neglect fundamental aspects of the problem, such as: 1) the sensors are not end users; 2) the sensors can cooperate rather than contend for the medium to deliver critical information; 3) the aggregate entropy/complexity of the data in space and time is low. In fact, sensor networks are deployed to record unexpected dispersed events, sudden but localized changes, inconsistencies or discontinuities that occur rarely. Current network technology applied to this problem fails in one fundamental aspect: the scalability. The interactions among nodes are heavily structured in a number of layered functionalities.Scalability will result from un-complicating the interactions between thelarge population of devices and constraining their operations and message exchange to be through a broadcast, noisy, limited range interface. The most original contribution of this research is in finding a class of scheduling strategies that operate within these restrictions and is driven by the sensors' data, achieving efficient transmission from the distributed sources without requiring any prior exchange of data among them.

传感器网络的一个很好的原型是一种由大量独立设备组成的技术，这些设备通过通信可以在它们监视的区域中发生的事件上达成一致，与它们的大小和通信范围相比，该区域很大。该项目有三个主要的研究方向，将有助于建立这样的基础设施：1）传感器传输的调度; 2）同步; 3）物理层传输架构。我们提出的想法是分布式的，合作的和数据驱动的，并挑战了一些传统的智慧，用于建设通信网络的今天，忽视了问题的基本方面，如：1）传感器不是最终用户; 2）传感器可以合作，而不是竞争的介质来提供关键信息; 3）在空间和时间的数据的总熵/复杂性低。事实上，部署传感器网络是为了记录意外的分散事件、突然但局部的变化、很少发生的不一致或不连续性。目前的网络技术应用于这个问题失败的一个基本方面：可扩展性。节点之间的交互是由许多分层功能组成的，可扩展性将来自于简化大量设备之间的交互，并限制它们的操作和消息交换，使其通过广播，嘈杂，有限范围的接口。这项研究的最原始的贡献是在寻找一类调度策略，这些策略在这些限制内运行，并由传感器的数据驱动，实现高效的传输，而不需要任何事先交换的数据在他们之间的分布式源。