Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance

In recent years, service isolation and service miniaturization have become very popular. The large services are dismantled into multiple low-cost and simple small services to improve the scalability and disaster tolerance of the entire services. A service network composed of unmanned aerial vehicles...

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Autores principales:	Xuefei E, Zhonggui Ma, JunFeng Huang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/9f04e1d728224d9c9a2166afa86acb2b
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id	oai:doaj.org-article:9f04e1d728224d9c9a2166afa86acb2b
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spelling	oai:doaj.org-article:9f04e1d728224d9c9a2166afa86acb2b2021-11-15T01:20:14ZCluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance1530-867710.1155/2021/6745460https://doaj.org/article/9f04e1d728224d9c9a2166afa86acb2b2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6745460https://doaj.org/toc/1530-8677In recent years, service isolation and service miniaturization have become very popular. The large services are dismantled into multiple low-cost and simple small services to improve the scalability and disaster tolerance of the entire services. A service network composed of unmanned aerial vehicles (UAVs) and MEC servers is proposed in this paper, which aims at decoupling multiple services of the SWIPT-MEC network. In this network, UAVs take charge of energy transmission and calculation task scheduling and MEC servers are focused on task calculation. To meet the resource requirements of the ground nodes (GNs) in the network, we designed a distributed iterative algorithm to solve the resource allocation decision problem of GNs and used the modified expert bat algorithm to complete the UAV’s trajectory planning in a two-dimensional space. The results show that the algorithm can formulate a more fair resource allocation strategy, and its performance is improved by 7% compared with the traditional bat algorithm. In addition, the algorithm in this paper can also adapt to changes in task length and has a certain degree of stability.Xuefei EZhonggui MaJunFeng HuangHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Xuefei E Zhonggui Ma JunFeng Huang Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance
description	In recent years, service isolation and service miniaturization have become very popular. The large services are dismantled into multiple low-cost and simple small services to improve the scalability and disaster tolerance of the entire services. A service network composed of unmanned aerial vehicles (UAVs) and MEC servers is proposed in this paper, which aims at decoupling multiple services of the SWIPT-MEC network. In this network, UAVs take charge of energy transmission and calculation task scheduling and MEC servers are focused on task calculation. To meet the resource requirements of the ground nodes (GNs) in the network, we designed a distributed iterative algorithm to solve the resource allocation decision problem of GNs and used the modified expert bat algorithm to complete the UAV’s trajectory planning in a two-dimensional space. The results show that the algorithm can formulate a more fair resource allocation strategy, and its performance is improved by 7% compared with the traditional bat algorithm. In addition, the algorithm in this paper can also adapt to changes in task length and has a certain degree of stability.
format	article
author	Xuefei E Zhonggui Ma JunFeng Huang
author_facet	Xuefei E Zhonggui Ma JunFeng Huang
author_sort	Xuefei E
title	Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance
title_short	Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance
title_full	Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance
title_fullStr	Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance
title_full_unstemmed	Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance
title_sort	cluster design and optimization of swipt-based mec networks with uav assistance
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/9f04e1d728224d9c9a2166afa86acb2b
work_keys_str_mv	AT xuefeie clusterdesignandoptimizationofswiptbasedmecnetworkswithuavassistance AT zhongguima clusterdesignandoptimizationofswiptbasedmecnetworkswithuavassistance AT junfenghuang clusterdesignandoptimizationofswiptbasedmecnetworkswithuavassistance
_version_	1718428884780711936

Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance

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