{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T22:58:38Z","timestamp":1774652318370,"version":"3.50.1"},"reference-count":32,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Trans Emerging Tel Tech"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>The increasing processing demands of vehicle applications pose a major challenge for the Internet of Vehicles (IoVs). Multi\u2010access edge computing (MEC) offloads computation\u2010intensive activities to edge servers, significantly enhancing computing capacity and extending vehicle battery life. Nevertheless, traditional offloading strategies fail to effectively balance computation tasks among vehicles and edge servers, resulting in suboptimal resource utilization and increased energy consumption. Therefore, an Energy\u2010Efficient Computation Offloading Scheme for Vehicular Edge Computing utilizing Improved Golden Eagle Optimization Algorithm (EECO\u2010VEC\u2010IGEOA) is proposed. An Improved Golden Eagle Optimization Algorithm (IGEOA) is designed to optimize energy\u2010efficient computation offloading in vehicular edge computing networks (VECN). By dynamically allocating computation tasks between vehicles and edge servers depending on real\u2010time conditions, the EECO\u2010VEC\u2010IGEOA model aims to improve overall network performance and energy efficiency. The EECO\u2010VEC\u2010IGEOA method reduces energy consumption by 14.62%, 16.84%, and 19.16%, and task completion time by 15.84%, 18.92%, and 20.69% compared to the existing approaches.<\/jats:p>","DOI":"10.1002\/ett.70191","type":"journal-article","created":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T04:44:13Z","timestamp":1751345053000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Energy\u2010Efficient Computation Offloading Scheme for Vehicular Edge Computing Using Improved Golden Eagle Optimization Algorithm"],"prefix":"10.1002","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4430-683X","authenticated-orcid":false,"given":"S.","family":"Syed Abuthahir","sequence":"first","affiliation":[{"name":"Research Scholar, Department of Computing Technologies SRM Institute of Science &amp; Technology  Kattankullathur, Chennai Tamil Nadu India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0963-0386","authenticated-orcid":false,"given":"J.","family":"Selvin Paul Peter","sequence":"additional","affiliation":[{"name":"Associate Professor, Department of Computing Technologies SRM Institute of Science &amp; Technology  Kattankullathur, Chennai Tamil Nadu India"}]}],"member":"311","published-online":{"date-parts":[[2025,7]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2025.3526213"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3581938"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2024.103035"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/dac.70023"},{"key":"e_1_2_8_6_1","first-page":"1","article-title":"Computation Offloading in Mobile Edge Computing\u2010Enabled Blockchain Based on Contract and Matching Theory","author":"Zhang W.","year":"2025","journal-title":"Mobile Networks and Applications"},{"key":"e_1_2_8_7_1","article-title":"Multi\u2010Task Oriented Efficient Computational Offloading Orchestrator for IoT Applications in Mobile Edge Computing","volume":"12","author":"Wang L.","year":"2025","journal-title":"IEEE Internet of Things Journal"},{"key":"e_1_2_8_8_1","first-page":"1","article-title":"R\u2010MDDQN: A V2V\u2010Based Secure Computation Offloading Algorithm for Video Analytics in Vehicle Edge Networks","author":"Wu H.","year":"2025","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2022.018455"},{"key":"e_1_2_8_10_1","article-title":"Multimedia Tasks\u2010Oriented Edge Computing Offloading Scheme Based on Graph Neural Network in Vehicular Networks","volume":"13","author":"Huang Y.","year":"2025","journal-title":"IEEE Access"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2025.111180"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3357530"},{"key":"e_1_2_8_13_1","first-page":"1","article-title":"DQPS: An Intelligent Multi\u2010Hop Computation Offloading Scheme for Workflow Applications in Vehicular Edge Computing Networks","author":"Lin B.","year":"2024","journal-title":"IEEE Transactions on Consumer Electronics"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3370553"},{"key":"e_1_2_8_15_1","first-page":"1","article-title":"Energy\u2010Efficient Joint Resource Allocation and Computation Offloading in NOMA\u2010Enabled Vehicular Fog Computing","author":"Lin Z.","year":"2024","journal-title":"Mobile Networks and Applications"},{"key":"e_1_2_8_16_1","article-title":"Joint Computation Offloading and Multi\u2010Dimensional Resource Allocation in Air\u2010Ground Integrated Vehicular Edge Computing Network","volume":"11","author":"Li S.","year":"2024","journal-title":"IEEE Internet of Things Journal"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3355868"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3424852"},{"key":"e_1_2_8_19_1","article-title":"Distributed User Association and Computation Offloading in UAV\u2010Assisted Mobile Edge Computing Systems","volume":"12","author":"Wang T.","year":"2024","journal-title":"IEEE Access"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110564"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2023.3349273"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3376607"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3514881"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2023.102870"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3391831"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3264281"},{"key":"e_1_2_8_27_1","article-title":"An Efficient Partial Task Offloading and Resource Allocation Scheme for Vehicular Edge Computing in a Dynamic Environment","author":"Abbas Z.","year":"2024","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"e_1_2_8_28_1","first-page":"1","article-title":"RSMA\u2010Assisted Distributed Computation Offloading in Vehicular Networks Based on Stochastic Geometry","author":"Lin Z.","year":"2025","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"e_1_2_8_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3549493"},{"key":"e_1_2_8_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2025.108081"},{"key":"e_1_2_8_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3318867"},{"key":"e_1_2_8_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01011-8"},{"key":"e_1_2_8_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3043038"}],"container-title":["Transactions on Emerging Telecommunications Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/ett.70191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T23:12:43Z","timestamp":1752793963000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ett.70191"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":32,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["10.1002\/ett.70191"],"URL":"https:\/\/doi.org\/10.1002\/ett.70191","archive":["Portico"],"relation":{},"ISSN":["2161-3915","2161-3915"],"issn-type":[{"value":"2161-3915","type":"print"},{"value":"2161-3915","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7]]},"assertion":[{"value":"2024-10-10","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-05-28","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-07-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70191"}}