Adaptive smart sensor webs with predictive control for workflow and resource management in dynamic environments

Ashit Talukder; S. Monacos

doi:10.1117/12.665755

17 April 2006 Adaptive smart sensor webs with predictive control for workflow and resource management in dynamic environments

Ashit Talukder, S. Monacos

Author Affiliations +

Proceedings Volume 6245, Optical Pattern Recognition XVII; 624506 (2006) https://doi.org/10.1117/12.665755
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

A novel predictive controller framework is discussed for integrated smart sensing and resource management in a distributed intelligent sensor network with sensor nodes whose useful active lifetime is significantly shorter than the required lifetime of the sensor system. Past sensor network research has focused on security and communication, but largely ignored the overall dynamic resource management issue of such distributed systems. Our contribution is in integrated control optimization and resource management algorithms to ensure proper functioning of distributed sensors in extremely limited bandwidth, power, and storage. In this paper, we present a novel genetic algorithm (GA) for real-time system control and resource management that handles multiple conflicting objectives and constraints in the distributed system. We suggest using a GA-based predictive controller to give optimal actions that account for future states and future possible events while estimating the optimal control action policy. Our framework is suitable for dynamic environments where the desired system performance and resource usage changes dynamically while being constrained by limited amount of resources.

Citation Download Citation

Ashit Talukder and S. Monacos "Adaptive smart sensor webs with predictive control for workflow and resource management in dynamic environments", Proc. SPIE 6245, Optical Pattern Recognition XVII, 624506 (17 April 2006); https://doi.org/10.1117/12.665755

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