{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T06:41:39Z","timestamp":1768459299214,"version":"3.49.0"},"reference-count":26,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T00:00:00Z","timestamp":1648684800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Robotics"],"published-print":{"date-parts":[[2022,3,31]]},"abstract":"<jats:p>As the computing capacity of existing mobile devices cannot fully meet the needs of users for communication quality, a computing resource allocation strategy for 5G communication in the Internet of Things (IoT) environment is proposed by applying UAV-assisted edge computing. First, a system model is constructed with the UAV deployed with mobile edge computing (MEC) servers to provide assisted computing services for multiple users on the ground. Based on the optimization of the UAV trajectory, communication scheduling, and the energy consumption model of the UAV, the problem of the total computational cost minimization is formulated. Then, the genetic algorithm is improved by introducing a penalty function to solve this problem, in which selection, crossover, and mutation operations are iterated to obtain the optimal allocation strategy for computational resources. Finally, a simulation platform is constructed to analyze the proposed method. The results show that the total cost and total time of the proposed strategy are better than other comparison strategies.<\/jats:p>","DOI":"10.1155\/2022\/9397783","type":"journal-article","created":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T22:35:18Z","timestamp":1648766118000},"page":"1-9","source":"Crossref","is-referenced-by-count":3,"title":["An UAV-Assisted Edge Computing Resource Allocation Strategy for 5G Communication in IoT Environment"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7148-9171","authenticated-orcid":true,"given":"Hao","family":"Liu","sequence":"first","affiliation":[{"name":"Zhengzhou Health Vocational College, Xingyang, Henan 450100, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3088279"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.suscom.2019.01.007"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/tcds.2017.2727678"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.02.045"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2019.2957129"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/3965689"},{"issue":"1","key":"7","first-page":"1","article-title":"Computing resource allocation scheme of IOV using deep reinforcement learning in edge computing environment","volume":"2","author":"Y. Zhang","year":"2021","journal-title":"EURASIP Journal on Applied Signal Processing"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2935545"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3143252"},{"issue":"2","key":"10","first-page":"95","article-title":"Distance control strategy for deploying content replica servers in an edge cloud","volume":"26","author":"Wei","year":"2019","journal-title":"The Journal of China Universities of Posts and Telecommunications"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2018.11.011"},{"issue":"3","key":"12","first-page":"1","article-title":"Multi-objective resource allocation in mobile edge computing using PAES for Internet of Things","volume":"4","author":"Q. Liu","year":"2020","journal-title":"Wireless Networks"},{"issue":"4","key":"13","first-page":"355","article-title":"Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT","volume":"151","author":"V. Shanmuganthan","year":"2020","journal-title":"Computer Communications"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2020.2980035"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2019.2960103"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2019.04836"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2975310"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1109\/tgcn.2019.2910590"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/tcomm.2019.2959338"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/tnet.2020.2983119"},{"issue":"5","key":"21","first-page":"88","article-title":"5G network-oriented hierarchical distributed cloud computing system resource optimization scheduling and allocation","volume":"164","author":"C. Gza","year":"2020","journal-title":"Computer Communications"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/tcomm.2018.2870888"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1049\/iet-wss.2019.0015"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2018.2878435"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/tnet.2020.2989307"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2995797"}],"container-title":["Journal of Robotics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jr\/2022\/9397783.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jr\/2022\/9397783.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jr\/2022\/9397783.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T22:35:33Z","timestamp":1648766133000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/jr\/2022\/9397783\/"}},"subtitle":[],"editor":[{"given":"Shan","family":"Zhong","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,3,31]]},"references-count":26,"alternative-id":["9397783","9397783"],"URL":"https:\/\/doi.org\/10.1155\/2022\/9397783","relation":{},"ISSN":["1687-9619","1687-9600"],"issn-type":[{"value":"1687-9619","type":"electronic"},{"value":"1687-9600","type":"print"}],"subject":[],"published":{"date-parts":[[2022,3,31]]}}}