首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Task & Resource Self-Adaptive Embedded Real-Time Operating System Micorkernel for Wireless Sensor Nodes
  • 本地全文:下载
  • 作者:Xing Kexing ; Zuo Decheng ; Zhou Haiying
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2014
  • 卷号:4
  • 期号:3
  • 页码:75-84
  • DOI:10.5121/csit.2014.4307
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Wireless Sensor Networks (WSNs) are used in many application fields, such as military,healthcare, environment surveillance, etc. The WSN OS based on event-driven model doesn’tsupport real-time and multi-task application types and the OSs based on thread-driven modelconsume much energy because of frequent context switch. Due to the high-dense and largescaledeployment of sensor nodes, it is very difficult to collect sensor nodes to update theirsoftware. Furthermore, the sensor nodes are vulnerable to security attacks because of thecharacteristics of broadcast communication and unattended application. This paper presents atask and resource self-adaptive embedded real-time microkernel, which proposes hybridprogramming model and offers a two-level scheduling strategy to support real-time multi-taskcorrespondingly. A communication scheme, which takes the “tuple” space and “IN/OUT”primitives from “LINDA”, is proposed to support some collaborative and distributed tasks. Inaddition, this kernel implements a run-time over-the-air updating mechanism and provides asecurity policy to avoid the attacks and ensure the reliable operation of nodes. The performanceevaluation is proposed and the experiential results show this kernel is task-oriented andresource-aware and can be used for the applications of event-driven and real-time multi-task.
  • 关键词:WSN; event-driven; thread-driven; scheduling strategy; over-the-air; security
国家哲学社会科学文献中心版权所有