Team enabling architectures for very large sensor networks

R. Newman, E. Gaura

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This paper considers the problems involved in the design of 'dream applications' of networked intelligent sensors. These applications propose global scale networks of millions of sensors, requiring new paradigms of system design. One requirement of any suitable design methodology is that it supports the complete, multidisciplinary team that will be needed for this scale and type of application. The problems preventing effective working of such teams are discussed. It is argued that the adoption of suitable design principles and architectures can provide the well defined functions and interfaces which help a design team to define their several goals and responsibilities and therefore allow more effective development Some established distributed design principles are put forward as being a suitable starting point, and the outline of an architecture is proposed.
Original languageEnglish
Title of host publicationProceedings - 2004 International Conference on Intelligent Mechatronics and Automation
PublisherIEEE
Pages927-932
Number of pages6
ISBN (Print)0780387481
DOIs
Publication statusPublished - 2004
EventThe 2004 IEEE International Conference on Intelligent Mechatronics and Automation - Chengdu, China
Duration: 27 Aug 200431 Aug 2004

Conference

ConferenceThe 2004 IEEE International Conference on Intelligent Mechatronics and Automation
CountryChina
CityChengdu
Period27/08/0431/08/04

Keywords

  • Artificial intelligence
  • Communication systems
  • Data processing
  • Electric power utilization
  • Intelligent networks
  • Large scale systems
  • Network protocols
  • Signal processing, Cogent
  • MEMS
  • Power consumption
  • Sensor networks, Sensors

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  • Cite this

    Newman, R., & Gaura, E. (2004). Team enabling architectures for very large sensor networks. In Proceedings - 2004 International Conference on Intelligent Mechatronics and Automation (pp. 927-932). IEEE. https://doi.org/10.1109/ICIMA.2004.1384333