RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks

Abstract

Large-scale wireless sensor networks represent a new generation of real-time embedded systems with significantly different communication constraints from traditional networked systems. This paper presents RAP, a new real-time communication architecture for largescale sensor networks. RAP provides convenient, highlevel query and event services for distributed microsensing applications. Novel location-addressed communication models are supported by a scalable and light-weight network stack. We present and evaluate a new packet scheduling policy called velocity monotonic scheduling that inherently accounts for both time and distance constraints. We show that this policy is particularly suitable for communication scheduling in sensor networks in which a large number of wireless devices are seamlessly integrated into a physical space to perform real-time monitoring and control. Detailed simulations of representative sensor network environments demonstrate that RAP significantly reduces the end-to-end deadline miss ratio in the sensor network.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA436746

Entities

People

  • Brian M. Blum
  • Chenyang Lu
  • John A. Stankovic
  • Tarek F. Abdelzaher
  • Tian He

Organizations

  • University of Virginia

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Communication Channels
  • Computer Networks
  • Computing System Architectures
  • Detectors
  • Environment
  • Hot Regions
  • Mobile Ad Hoc Networks
  • Network Protocols
  • Networks
  • Radio Communications
  • Routing Protocols
  • Sensor Networks
  • Simulations
  • Transport Protocols
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Parallel and Distributed Computing.

Technology Areas

  • Space