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March 18, 2026AlgorithmsOpen Access

Mobility-Aware Cooperative Optimization for Task Offloading and Resource Allocation in Multi-Edge Computing

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Authors

DCDong ChenXZXi ZhangKLKequan Lin

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Overview

This research demonstrates enhanced task offloading and resource allocation strategies in mobile edge computing, indicating improved performance and adaptability.

Key Points

  • The study aims to develop a mobility-driven optimization framework for task offloading and resource allocation in dynamic edge computing settings.
  • Developed a hierarchical optimization framework integrating mobility-aware heuristics.
  • Clustered devices based on mobility patterns for effective decision-making.
  • Implemented a multi-agent deep deterministic policy gradient (MADDPG) framework for resource allocation.
  • Achieved a 19.0% reduction in task processing delay compared to existing methods.
  • Maintained comparable energy efficiency under various testing conditions.
  • Demonstrated improved adaptability and scheduling performance across different mobility group distributions.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69ba431a4e9516ffd37a3f83https://doi.org/10.3390/a19030221
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