0

Full Content is available to subscribers

Subscribe/Learn More  >

Multi-Layered Mobile Sensor Network With Robot Team

[+] Author Affiliations
Jae-Yong Lee, Suhada Jayasuriya

Texas A&M University

Paper No. IMECE2005-81438, pp. 1573-1580; 8 pages
doi:10.1115/IMECE2005-81438
From:
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Dynamic Systems and Control, Parts A and B
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 0-7918-4216-9 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME

abstract

This paper presents a concept and its application of the dynamic multi-layered sensor network for gathering environment information. The architecture of the system is composed of sensor layer, physical layer, and communication layer. Sensor layer is the combination and the network of the sensor components in each sensor node. A sensor node has multiple numbers of sensors, and a number of robots for the mobile sensor network. Each mobile robot plays a role of mobile base for a sensor node, and consists of physical layer. We discuss the formation of the multi-layered sensor network, which is active, adaptive, and task oriented in the surrounding environment. As each sensor node consists of multiple numbers of heterogeneous sensors, sensor combination is not restricted to one particular objective or task. This fact allows the network to be multi-functional. Same kind of sensors can establish ad-hoc sensor network, while different kind of sensors fuse the data for improved interpretation of the environment. Experiments with mobile sensors nodes are conducted and illustrated to show the concept of the multi-layered mobile sensor network.

Copyright © 2005 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In