Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Applications of intelligent agents
Agent technology
A brief introduction to software agent technology
Agent technology
A multi-plane state machine agent model
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Design considerations for multiagent systems on very small platforms
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
3APL-M platform for deliberative agents in mobile devices
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
The squawk virtual machine: Java™ on the bare metal
OOPSLA '05 Companion to the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Java™ on the bare metal of wireless sensor devices: the squawk Java virtual machine
Proceedings of the 2nd international conference on Virtual execution environments
SPRINGS: A Scalable Platform for Highly Mobile Agents in Distributed Computing Environments
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
A Multi-Agent System for Building Control
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Mobile Agent Architecture Integration for a Wireless Sensor Medical Application
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Embedded agents: a paradigm for mobile services
International Journal of Web and Grid Services
Multi-agent systems as a middleware to automate mobile business processes: state of the art
AIC'05 Proceedings of the 5th WSEAS International Conference on Applied Informatics and Communications
Multi-Agent Systems for Traffic and Transportation Engineering
Multi-Agent Systems for Traffic and Transportation Engineering
Experiments with a solar-powered Sun SPOT
Experiments with a solar-powered Sun SPOT
Enforcing integrity of agent migration paths by distribution of trust
International Journal of Intelligent Information and Database Systems
A Java-Based Agent Platform for Programming Wireless Sensor Networks†
The Computer Journal
Agent factory micro edition: a framework for ambient applications
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Battery Power Efficiency of PPM and FSK in Wireless Sensor Networks
IEEE Transactions on Wireless Communications
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
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Wireless sensor networks have emerged as a complementary technology to conventional, cable-based systems for structural health monitoring. However, the wireless transmission of sensor data and the on-board execution of engineering analyses directly on the sensor nodes can consume a significant amount of the inherently restricted node resources. This paper presents an agent migration approach towards resource-efficient wireless sensor networks. Autonomous software agents, referred to as ''on-board agents'', are embedded into the wireless sensor nodes employed for structural health monitoring performing simple resource-efficient routines to continuously analyze, aggregate, and communicate the sensor data to a central server. Once potential anomalies are detected in the observed structural system, the on-board agents autonomously request for specialized software programs (''migrating agents'') that physically migrate to the sensor nodes to analyze the suspected anomaly on demand. In addition to the localized data analyses, a central information pool available on the central server is accessible by the software agents (and by human users), facilitating a distributed-cooperative assessment of the global condition of the monitored structure. As a result of this study, a 95% reduction of memory utilization and a 96% reduction of power consumption of the wireless sensor nodes have been achieved as compared with traditional approaches.