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Contact & Profiles
A5092852325
Research Areas
- IoT and Edge/Fog Computing
- Augmented Reality Applications
- Age of Information Optimization
Norwegian University of Science and Technology
2023
Mobile augmented reality (MAR) systems typically offload computation-intensive tasks to edge servers. This paper contributes a comparative analysis of Genetic Algorithm (GA) and Ant Colony Optimization (ACO) in task offloading optimization for MAR on the edge, terms latency power consumption across eight distinct setups with varying server configurations tasks. Our experimental findings indicate that ACO algorithm consistently manifests lower than GA where servers are proximity devices....
10.1145/3615452.3617943
article
EN
cc-by
2023-09-12
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