NeTS-NOSS: Regiment: A Macroprogramming Language and Runtime System for Sensor Networks

NeTS-NOSS：军团：传感器网络的宏编程语言和运行时系统

• 批准号: 0519675
• 负责人: Matthew Welsh
• 金额: --
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0519675&HistoricalAwards=false
• 关键词: NeTS; NOSS; Regiment; Macroprogramming; Language

In many proposed applications of sensor networks, domain scientists will eventually be required to program and tune sensor network deployments. However, existing programming tools are extremely low level, suitable only for experts in sensor networks and embedded systems. This project develops a macroprogramming language and runtime system that is intended to greatly simplify the development of sensor network applications. In a macroprogramming system, the global behavior of the entire sensor network is written in a high-level language which is compiled into efficient per-node code. Such an approach allows programmers to focus on the domain-specific aspects of sampling, data aggregation, and coordinated node activity without concerning themselves with the low-level details of sensor hardware and radio communication.This project develops a high-level language, called Regiment, based on ideas from functional reactive programming. In Regiment, the programmer manipulates time-varying signals that represent sensor network state, such as individual sensors or aggregate values. Signals can be grouped into regions that represent topological relationships between sensor nodes, such as the set of nodes within a geographic area. The Regiment language and runtime system will be developed in the context of a wireless sensor network for monitoring volcanic eruptions, and will be evaluated through a network deployment at Volcan Tungurahua, Ecuador.

在传感器网络的许多拟议的应用中，领域科学家最终将被要求规划和调整传感器网络部署。然而，现有的编程工具是非常低的水平，只适合传感器网络和嵌入式系统的专家。这个项目开发了一个宏编程语言和运行时系统，旨在大大简化传感器网络应用程序的开发。在宏程序设计系统中，整个传感器网络的全局行为是用高级语言编写的，该语言被编译成高效的每个节点代码。这种方法允许程序员专注于采样，数据聚合和协调节点活动的特定领域方面，而无需关注传感器硬件和无线电通信的低级别细节。在Regiment中，程序员操纵代表传感器网络状态的时变信号，例如单个传感器或聚合值。 信号可以被分组到表示传感器节点之间的拓扑关系的区域中，诸如地理区域内的节点集合。团语言和运行时间系统将在监测火山爆发的无线传感器网络中开发，并将通过在厄瓜多尔Volcan Tungurahua部署网络进行评价。