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Energy-Aware Computation Offloading of IoT Sensors in Cloudlet-Based Mobile Edge Computing
Xiao Ma1, Chuang Lin2, Han Zhang3
1Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China. maxiao13@mails.tsinghua.edu.cn.
Sensors (Basel, Switzerland)
|June 20, 2018
Summary
This study introduces a new algorithm for mobile edge computing to optimize Internet of Things (IoT) sensor tasks. The Computation Offloading Decision (COD) algorithm reduces processing delay and energy consumption for IoT devices.
Area of Science:
- Computer Science
- Networking
- Distributed Systems
Background:
- Mobile edge computing (MEC) is crucial for managing the data deluge from the Internet of Things (IoT).
- Existing cloudlet frameworks face challenges with constrained resources of cloudlets and wireless access points (APs).
- IoT sensors often make identical computation offloading decisions, leading to resource conflicts and inefficiencies.
Purpose of the Study:
- To propose a cloud-assisted multi-cloudlet framework for scalable MEC services.
- To optimize computation offloading decisions for IoT sensors to minimize processing delay and energy consumption.
- To address the interaction and resource contention among IoT sensors with similar offloading strategies.
Main Methods:
- Formulating the IoT sensor computation offloading problem as a game theory model.
- Utilizing potential game theory to derive the conditions for Nash equilibrium.
- Designing a decentralized Computation Offloading Decision (COD) algorithm based on the finite improvement property.
Main Results:
- The COD algorithm provides decentralized computation offloading strategies for IoT sensors.
- Simulation results show significant reduction in system cost compared to random-selection and cloud-first algorithms.
- The COD algorithm demonstrates good scalability with an increasing number of IoT sensors.
Conclusions:
- The proposed cloud-assisted multi-cloudlet framework enhances MEC service provisioning.
- The COD algorithm effectively optimizes computation offloading for IoT sensors in resource-constrained environments.
- Decentralized strategies derived from game theory offer a scalable solution for future IoT deployments.
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