Dynamic Spatial Task Assignment using Uncertain Tra Sample Clauses

Dynamic Spatial Task Assignment using Uncertain Tra jectories (Chapter 5) This chapter extends the coordinated task assignment problem for a more dynamic environment with moving participants. We propose a dynamic data-driven frame- work to deal with uncertain participant locations as a result of movement, noise, or error of location sensing infrastructure. Our approach is based on the DDDAS (Dynamic Data Driven Application Systems) [25] paradigm. The DDDAS concept is crucial to address the such crowd sensing applications in order to steer and assign the data collection tasks in targeted ways, adapting dynamically to application needs and the dynamic and uncertain locations of participants. Our proposed task assignment framework entails a synergistic feedback loop be- tween application simulations and data collection: 1) based on assigned tasks, par- ticipants report the collected data and possibly their current (uncertain) locations to the application; 2) the collected data are dynamically integrated into an executing simulation to augment or complement the application model (e.g. flood movement),
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