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Proceedings Paper

Resource-efficient wireless monitoring based on mobile agent migration
Author(s): Kay Smarsly; Kincho H. Law; Markus König
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Paper Abstract

Wireless sensor networks are increasingly adopted in many engineering applications such as environmental and structural monitoring. Having proven to be low-cost, easy to install and accurate, wireless sensor networks serve as a powerful alternative to traditional tethered monitoring systems. However, due to the limited resources of a wireless sensor node, critical problems are the power-consuming transmission of the collected sensor data and the usage of onboard memory of the sensor nodes. This paper presents a new approach towards resource-efficient wireless sensor networks based on a multi-agent paradigm. In order to efficiently use the restricted computing resources, software agents are embedded in the wireless sensor nodes. On-board agents are designed to autonomously collect, analyze and condense the data sets using relatively simple yet resource-efficient algorithms. If having detected (potential) anomalies in the observed structural system, the on-board agents explicitly request specialized software agents. These specialized agents physically migrate from connected computer systems, or adjacent nodes, to the respective sensor node in order to perform more complex damage detection analyses based on their inherent expert knowledge. A prototype system is designed and implemented, deploying multi-agent technology and dynamic code migration, in a wireless sensor network for structural health monitoring. Laboratory tests are conducted to validate the performance of the agent-based wireless structural health monitoring system and to verify its autonomous damage detection capabilities.

Paper Details

Date Published: 31 March 2011
PDF: 12 pages
Proc. SPIE 7984, Health Monitoring of Structural and Biological Systems 2011, 798426 (31 March 2011); doi: 10.1117/12.880016
Show Author Affiliations
Kay Smarsly, Stanford Univ. (United States)
Kincho H. Law, Stanford Univ. (United States)
Markus König, Ruhr-Univ. Bochum (Germany)

Published in SPIE Proceedings Vol. 7984:
Health Monitoring of Structural and Biological Systems 2011
Tribikram Kundu, Editor(s)

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