{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T21:13:28Z","timestamp":1773695608162,"version":"3.50.1"},"reference-count":10,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:00:00Z","timestamp":1648166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Unmanned aerial vehicles (UAVs) have the advantages of flexibility, low cost, and good communication channel gain. In recent years, the inspection of power grid systems supported by UAVs has been widely used. However, due to the constraint of wireless channels and UAVs, it is impossible to transmit video content to the surveillance center. To solve this problem, in this study, a new mobile edge computing (MEC) technology-enabled power line inspection scheme for smart grid networks was designed. Within this scheme, a double-layer MEC architecture is proposed. In the upper-level layer, several UAVs installed with MEC equipment can locally process inspection videos with higher propriety. At the same time, the remaining tasks with lower priority are performed by the terrestrial base stations. In addition, a cost minimization problem is proposed and solved by the alternating optimization algorithm. The simulation results show that the proposed algorithm can significantly reduce the energy consumption of the system.<\/jats:p>","DOI":"10.3390\/info13040167","type":"journal-article","created":{"date-parts":[[2022,3,27]],"date-time":"2022-03-27T21:27:51Z","timestamp":1648416471000},"page":"167","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Double-Layer Mobile Edge Computing-Enabled Power Line Inspection in Smart Grid Networks"],"prefix":"10.3390","volume":"13","author":[{"given":"Shimin","family":"Liu","sequence":"first","affiliation":[{"name":"Information & Telecommunication Branch Company, East Inner Mongolia Electric Power Co., Ltd., Hohhot 010010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailong","family":"Xiao","sequence":"additional","affiliation":[{"name":"Information & Telecommunication Branch Company, East Inner Mongolia Electric Power Co., Ltd., Hohhot 010010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqi","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5994-9419","authenticated-orcid":false,"given":"Heli","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Li, H., Shou, G., Hu, Y., and Guo, Z. (April, January 29). Mobile Edge Computing: Progress and Challenges. Proceedings of the 2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), Oxford, UK.","DOI":"10.1109\/MobileCloud.2016.16"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/JIOT.2017.2750180","article-title":"Mobile Edge Computing: A Survey","volume":"5","author":"Abbas","year":"2018","journal-title":"IEEE Internet Things J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2705","DOI":"10.1109\/TII.2018.2794320","article-title":"Energy-Efficient Industrial Internet of UAVs for Power Line Inspection in Smart Grid","volume":"14","author":"Zhou","year":"2018","journal-title":"IEEE Trans. Ind. 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Netw."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3147","DOI":"10.1109\/JIOT.2020.2965898","article-title":"Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing","volume":"7","author":"Yu","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"6898","DOI":"10.1109\/JIOT.2020.2971645","article-title":"Multi-UAV-Enabled Load-Balance Mobile-Edge Computing for IoT Networks","volume":"7","author":"Yang","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1375","DOI":"10.1109\/JIOT.2019.2954798","article-title":"Online UAV-Mounted Edge Server Dispatching for Mobile-to-Mobile Edge Computing","volume":"7","author":"Wang","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2777","DOI":"10.1109\/JIOT.2019.2958975","article-title":"UAV-Assisted Wireless Powered Cooperative Mobile Edge Computing: Joint Offloading, CPU Control, and Trajectory Optimization","volume":"7","author":"Liu","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1109\/JSAC.2018.2864426","article-title":"Computation Rate Maximization in UAV-Enabled Wireless-Powered Mobile-Edge Computing Systems","volume":"36","author":"Zhou","year":"2018","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Chen, S., Li, X., Luo, C., Ji, H., and Zhang, H. (2019, January 9\u201313). Energy-Efficient Power, Position and Time Control in UAV-Assisted Wireless Networks. Proceedings of the 2019 IEEE Globecom Workshops (GC Wkshps), Waikoloa, HI, USA.","DOI":"10.1109\/GCWkshps45667.2019.9024568"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/4\/167\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:43:27Z","timestamp":1760136207000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/4\/167"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,25]]},"references-count":10,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2022,4]]}},"alternative-id":["info13040167"],"URL":"https:\/\/doi.org\/10.3390\/info13040167","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,25]]}}}