Decentralized Network Topology Design for Task Offloading in Mobile Edge Computing

TL;DR

This paper proposes a decentralized network topology design strategy for mobile edge computing that enhances task offloading efficiency by constructing optimized three-layered network structures, addressing a key challenge in IoT applications.

Contribution

It introduces a novel decentralized topology design method (DNTD-TO) that jointly optimizes network structure and task allocation for MEC, inspired by communication and sensor networks.

Findings

Outperforms existing topology design methods in efficiency.

Constructs effective three-layered network structures.

Generates optimal task allocations for improved performance.

Abstract

The rise of delay-sensitive yet computing-intensive Internet of Things (IoT) applications poses challenges due to the limited processing power of IoT devices. Mobile Edge Computing (MEC) offers a promising solution to address these challenges by placing computing servers close to end users. Despite extensive research on MEC, optimizing network topology to improve computational efficiency remains underexplored. Recognizing the critical role of network topology, we introduce a novel decentralized network topology design strategy for task offloading (DNTD-TO) that jointly considers topology design and task allocation. Inspired by communication and sensor networks, DNTD-TO efficiently constructs three-layered network structures for task offloading and generates optimal task allocations for these structures. Comparisons with existing topology design methods demonstrate the promising performance of our approach.