A Novel Task Offloading Scheme for Robotics Applications in Information Centric Networks
Daniele Sparapano, Francesco Vista, Paolo Benedetti, Giuseppe Piro, Luigi Alfredo Grieco
- Year
- 2022
- Citations
- 2
Abstract
This contribution proposes a novel task offloading scheme for robotics applications in Information-Centric Networks. The reference scenario includes heterogeneous agents connected to various wireless Network Attachment Points, asking for computational services to Multi-access Edge Computing servers deployed at the network edge. It also uses Information-Centric Networking facilities to implement resource announcement, resource discovery, and service provisioning. The effectiveness of the conceived solution has been tested through experimental tests in realistic scenarios.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991