Intelligent Agent Technology, IEEE / WIC / ACM International Conference on (2004)
Sept. 20, 2004 to Sept. 24, 2004
DOI Bookmark: http://doi.ieeecomputersociety.org/
B. Horling , Multiagent Syst. Lab., Massachusetts Univ., Amherst, MA, USA
R. Mailler , Multiagent Syst. Lab., Massachusetts Univ., Amherst, MA, USA
V. Lesser , Multiagent Syst. Lab., Massachusetts Univ., Amherst, MA, USA
We describe how a system employing different types of organizational techniques addresses the challenges posed by a large-scale distributed sensor network environment. The high-level multiagent architecture of real-world system is given in detail, and empirical and analytic results are provided showing the various effects that organizational characteristics have on the system's performance. We show how partitioning of the environment can lead to better locality and more constrained communication, as well as disproportionate load on individuals or increased load on the population as a whole. The presence of such tradeoffs motivates the need for a better understanding of organizational effects.
Computer aided software engineering, Intelligent networks, Radar tracking, Target tracking, Multiagent systems, Large-scale systems, Sensor systems, Government, Particle measurements, Time measurement
B. Horling, R. Mailler and V. Lesser, "A case study of organizational effects in a distributed sensor network," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on(IAT), Beijing, China, , pp. 51-57.