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Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Cihan H. Dagli
Cihan H. Dagli
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ASME Press
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Integrating self-organization into control models for wireless sensor networks (WSNs) allows a system to adopt in real-time to maintain the required quality of service in highly dynamic environments. In this paper, the topological structure of a WSN is altered based on time-driven and data-driven events in order to maintain bandwidth, redundancy, and communication speed subject to constraints such as power usage. However, most control models are based on either a time-driven or a data-driven approach which limits the self-organization ability. Unknown data-driven events cause uncertainty in node states leading to variability in outcome. Reducing variability involves enriching the knowledge about node states. From this perspective, an Agent-based Simulation (ABS) provides a strong modeling scheme to examine the system's emergent behavior under different set of rules. In particular, we extract concepts from complex and biological system models. This theoretical framework offers a new direction towards finding solutions for WSN control.

1 Introduction
2 Research Statement
3 Conclusion
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