Resource Allocation in Wireless-Powered Mobile Edge Computing Systems for Internet of Things Applications

Abstract

Wireless devices in Internet of Things (IoT) applications, such as wireless sensors and Radio Frequency Identifications (RFIDs), are faced with challenges of heavy computation tasks and limited energy, which can be solved by the importation of mobile edge computing (MEC) and wireless power transfer (WPT) techniques. As MEC can effectively enhance computation capability, and the wireless power transfer can ensure a sustainable supply of energy, it has drawn significant research interest in IoT applications. In this paper, we will study the resource allocation problem in the wireless-powered MEC system for IoT applications with one access point (AP) and many other wireless devices, and propose a Stackelberg dynamic game model to obtain the optimal allocated resource for the nodes in the IoT environment. The AP is a wireless power source that can charge wireless devices based on wireless power transfer techniques. The AP is also integrated with a MEC server that can carry out computation tasks that offload from wireless devices. The wireless devices can use the harvested energy to execute and offload computation tasks to the AP. Based on the proposed game model, the AP and wireless devices can control their optimal transmit power for energy transfer, and computation tasks offloading to the AP, respectively. The numerical simulation results show the correctness and effectiveness of the proposed model.

A Multi-Layer Multi-Timescale Network Utility Maximization Framework for the SDN-Based LayBack Architecture Enabling Wireless Backhaul Resource Sharing

“…Future research should examine how wireless backhaul network architectures should be dimensioned, e.g., how many layers and how many nodes should be in a given layer for a range of anticipated end-device densities and mobility patterns over the geographic area covered by the wireless backhaul network architecture, so as to best support the optimization processes for resource allocation. With the emergence of multi-access edge computing (MEC) it may become important to widen the scope of resource allocation optimization to cover communication, caching (storage), and computation (e.g., virtual machine compute processing) resources [97][98][99]. Moreover, the suitability of the various types of optimization methodologies for the resource allocation in wireless backhaul networks should be broadly studied and compared.…”

Multi-Access Edge Computing Empowered Heterogeneous Networks: A Novel Architecture and Potential Works

“…Binary offloading [1,10,19] In binary offloading, a computation task can be processed using either local or remote computing. Thus, binary offloading is suitable for simple and highly integrated applications [1].…”

“…Although there has been growing interest in MEC in recent years, most of the existing studies are dedicated to single-server MEC networks. In terms of computation offloading and resource allocation, previous works usually simplify the network model such as one MU in a small cell [7], one MEC server [8][9][10], and dedicated backhaul links with infinite capacity [11]. Existing works do not envision a holistic architecture for MEC in HetNets and consider heterogeneous MEC servers, i.e., MEC servers are distinctly different in sizes (computing units) and configurations (computational speeds).…”

“…There were some approaches for computation migration in various edge cloud concepts-for example, small cell cloud in [14,15], follow-me cloud in [16], and mobile micro-cloud in [17]. The combination of genetic algorithm and particle swarm optimization in [18,19], game theory in [10,20,21], and machine learning in [22,23] were adopted to design algorithms for jointly optimizing task offloading and resource allocation in small cell networks. As security and privacy are important issues and edge devices are typically located at physical locations close to eavesdroppers and attackers [24,25], many recent studies have been devoted to privacy and security issues.…”

Design and Optimization of Structure of Tower-Type Coil in Wireless Charging System for Electric Vehicles

“…Electric vehicles (EVs) are receiving increasing attention in the international research community due to tougher regulations triggered by environment and energy security concerns. There are two charging modes for electric vehicles, including wired charging mode and wireless charging mode [1][2][3][4]. Compared to the wired charging mode of EVs, the convenience of wireless charging using magnetic resonance can make EVs more acceptable to drivers because they do not need to handle power plug.…”