Modeling and optimization of dynamic signal processing in resource-aware sensor networks

TitleModeling and optimization of dynamic signal processing in resource-aware sensor networks
Publication TypeConference Papers
Year of Publication2011
AuthorsBhattacharyya SS, Plishker W, Sane N, Shen C-C, Wu H-H
Conference Name2011 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)
Date Published2011
KeywordsAdaptation models, Aerodynamics, Computational modeling, data flow graphs, dataflow interchange format, Dynamic scheduling, dynamic signal processing, power consumption overhead, Program processors, resource-aware sensor networks, run-time adaptation, Schedules, sensor node processing, Signal processing, Wireless sensor networks

Sensor node processing in resource-aware sensor networks is often critically dependent on dynamic signal processing functionality - i.e., signal processing functionality in which computational structure must be dynamically assessed and adapted based on time-varying environmental conditions, operating constraints or application requirements. In dynamic signal processing systems, it is important to provide flexibility for run-time adaptation of application behavior and execution characteristics, but in the domain of resource-aware sensor networks, such flexibility cannot come with significant costs in terms of power consumption overhead or reduced predictability. In this paper, we review a variety of complementary models of computation that are being developed as part of the dataflow interchange format (DIF) project to facilitate efficient and reliable implementation of dynamic signal processing systems. We demonstrate these methods in the context of resource-aware sensor networks.