期刊文献+

传感器网络结点OS及其传输协议的设计与实现

Design and Implementation of SNNEOS and Its Transfer Protocol
下载PDF
导出
摘要 首先分析了传感器网络结点任务的特殊性和多样性,在此基础上论述了传感器网络结点通用实时嵌入式操作系统(SNNEOS),阐述了该操作系统的系统构架、内核中断的管理和通信子系统的实现方式,并对该操作系统的传输协议关键问题进行论述.SNNEOS采用的事件驱动方式响应外界请求,避免处理器轮循,节省能源消耗.通过实时内核与非实时内核的方式,将实时任务与非实时任务分离,对关键的实时任务进行及时响应.通信子系统中采用分层处理方式,每一层单独创建一个进程,使SNNEOS的实现更加的清晰和容易. Discussing the particularity and diversity of the task of sensor network nodes, the commonly-used real-time operating system SNNEOS (sensor network node embedded operating system) is explored including its structure, management of kernel interruption and communications subsystems, as well as the implementation mechanism of its transfer protocol. As an eventdriven, SNNEOS can avoid CPU round-robin and save power. By the real-time kernel and non-real-time kernel interruption, the real-time task is separated from non-real-time one so as to respond to key real-time tasks punctually. To implement SNNEOS easier and clearer, the communication subsystems are processed in layers and each layer provides an individual process.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2006年第6期639-641,共3页 Journal of Northeastern University(Natural Science)
基金 国家高技术研究发展计划项目(2001AA415320)
关键词 传感器网络 嵌入式技术 操作系统 实时 传输协议 SNNEOS embedding technology operating system real-time transfer protocol
  • 相关文献

参考文献10

  • 1Floyd S,Paxson V.Difficulties in simulating the Internet[J].IEEE/ACM Trans on Networking,2001,9(4):392-403.
  • 2Elson J.Time synchronization services for wireless sensor networks[A].Proceedings of the 15th International Parallel & Distributed Processing Symposium[C].Los Alamitos:IEEE Computer Press,2001.1965-1970.
  • 3Yao Y,Gehrke J.The cougar approach to in-network query processing in sensor networks[J].SIGMOD Record,2002,31(3):918-920.
  • 4Bodur F,Bakan F.An improved ZCT-PWM DC-DC converter for high-power and frequency applications[J].IEEE Transactions on Industrial Electronics,2004,51(1):89-95.
  • 5Santi E,Monti A.Synergetic control for DC-DC boost converter implementation options[J].IEEE Transactions on Industrial,Applications,2003,39(6):1803-1811.
  • 6Govindan R,Tangmunarunkit H.Heuristics for Internet map discovery[A].Proceedings of IEEE INFOCOM[C].Israel:Tel Aviv,2000.1-11.
  • 7Kokar M M,Tomasik J A,Weyman J.A formal approach to information fusion[A].Proceedings of the 2nd International Conference on Neural Networks[C].New York:IEEE Press,1988.255-262.
  • 8杜庆东,徐凌宇,赵海.基于分布式结构的判决反馈数据融合算法[J].东北大学学报(自然科学版),2001,22(4):385-388. 被引量:9
  • 9潘泉,于昕,程咏梅,张洪才.信息融合理论的基本方法与进展[J].自动化学报,2003,29(4):599-615. 被引量:183
  • 10Denoeux T.An evidence-theoretic neural network classifier[A].IEEE Int Conf on Syst,Man and Cybernetics[C].Vancouver,1995.712-717.

二级参考文献15

共引文献189

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部