PROJECT TITLE :

Dynamic Collaboration Between Networked Robots and Clouds in Resource-Constrained Environments

ABSTRACT:

Underwater mobile sensor networks like Autonomous Underwater Vehicles (AUVs) or robots are envisioned to enable applications for oceanographic data collection, environmental and pollution monitoring, offshore exploration, and distributed tactical surveillance. These applications require running compute- and knowledge-intensive algorithms that transcend the capabilities of the individual AUVs that are concerned in an exceedingly mission. To execute these task-parallel algorithms in resource- and time-constrained environments, dynamic and reliable collaboration between native networked robots (e.g., AUVs) and remote public Clouds is required. To the current finish, the heterogeneous sensing, computing, communication, and storage capabilities of native and remote resources are exploited to create a “loosely coupled” mobile Cloud, and a completely unique resource provisioning engine that dynamically takes decisions on “what” and “where” the tasks should be executed in the mobile Cloud is introduced. Comparison of advantages of collaboration between native and Cloud resources with purely local and centralized approaches are presented through exhaustive computer simulations.


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