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Relay Selection for Over-the-Air Computation Achieving Both Long Lifetime and High Reliability.

Sensors (Basel, Switzerland)·2023
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Multi-Task Partial Offloading with Relay and Adaptive Bandwidth Allocation for the MEC-Assisted IoT.

Hafiz Hasnain Imtiaz1, Suhua Tang1

  • 1Department of Computer and Network Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu 182-8585, Tokyo, Japan.

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|January 8, 2023
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Summary
This summary is machine-generated.

This study optimizes task offloading for Internet of Things (IoT) devices in 5G networks using multi-access edge computing (MEC). Relay selection and adaptive bandwidth allocation significantly reduce computation time for edge devices.

Keywords:
latency optimizationmulti-access edge computingpartial offloadingrelayresource allocation

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Fifth-generation (5G) networks enable diverse Internet of Things (IoT) services requiring low latency.
  • IoT devices often lack sufficient computational power for real-time processing.
  • Multi-access Edge Computing (MEC) offers a solution by offloading tasks to edge servers, but communication delays hinder performance for distant nodes.

Purpose of the Study:

  • To investigate joint multi-task partial offloading for multiple IoT nodes to a common MEC server.
  • To address communication delays for nodes far from the access point (AP) using relay selection.
  • To minimize overall task computation time through adaptive task division and resource allocation.

Main Methods:

  • A joint optimization framework for partial task offloading from multiple IoT nodes to a MEC server.
  • Implementation of relay selection to assist nodes with poor connectivity to the AP.
  • Adaptive task division and allocation of bandwidth and computation resources.
  • Utilizing an evolutionary algorithm to solve the optimization problem.

Main Results:

  • The proposed method integrates relay selection and adaptive bandwidth allocation for task offloading.
  • Simulation results demonstrate the effectiveness of the combined approach.
  • The optimized method significantly outperforms strategies lacking relay selection or adaptive bandwidth allocation.

Conclusions:

  • Joint multi-task partial offloading with relay selection and adaptive bandwidth allocation is an effective strategy for MEC in 5G IoT networks.
  • The proposed approach successfully minimizes computation time by addressing both computational and communication constraints.
  • This solution enhances the feasibility and performance of edge computing for resource-constrained IoT devices.