Publication - Distribution Strategies for Collaborative and Adaptive Sensor Networks

Authors: Horling, Bryan; and Lesser, Victor
Title: Distribution Strategies for Collaborative and Adaptive Sensor Networks
Abstract: In this paper we describe the CASA project, an ambitious engineering research problem that is drawing on the expertise of a range of disciplines to create a next-generation meteorological sensor network. This new network, named NetRad, will be distributed across a wide area, and consist of a large number of sensors that are both collaborative in their behavior and adaptive in response to changing conditions. A closed-loop control scheme is needed to efficiently and quickly manage the network┤s complexity, but several barriers exist which confound a simple, centralized solution as the network scales. We will present a range of distribution strategies to cope with this problem, and compare and contrast the effects they will have on the system┤s performance.
Keywords: Organizational Design
Publication: Proceedings of the International Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS 2005), pp. 497 - 504
Location: Waltham, MA
Publisher: IEEE Computer Society
Date: 2005
Sources: PDF: /Documents/bhorling/KIMAS05-DCAS.pdf
Reference: Horling, Bryan; and Lesser, Victor. Distribution Strategies for Collaborative and Adaptive Sensor Networks. Proceedings of the International Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS 2005), IEEE Computer Society, pp. 497-504. 2005.
bibtex:
@inproceedings{Horling-378,
  author    = "Bryan Horling and Victor Lesser",
  title     = "{Distribution Strategies for Collaborative and
               Adaptive Sensor Networks}",
  booktitle = "Proceedings of the International Conference on
               Integration of Knowledge Intensive Multi-Agent
               Systems (KIMAS 2005)",
  publisher = "IEEE Computer Society",
  pages     = "497-504",
  year      = "2005",
  address   = "Waltham, MA",
  url       = "http://mas.cs.umass.edu/paper/378",
}