{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:35:31Z","timestamp":1760060131008,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"R&amp;D Funding Program of Shanghai Municipal Commission of Science and Technology","doi-asserted-by":"publisher","award":["25DZ3100300"],"award-info":[{"award-number":["25DZ3100300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>Space-Air-Ground Integrated Network (SAGIN), which is considered a network architecture with great development potential, exhibits significant cross-domain collaboration characteristics at present. However, most of the existing works ignore the matching and adaptability of differential tasks and heterogeneous resources, resulting in significantly inefficient task execution and undesirable network performance. As a consequence, we formulate a category attribute-oriented resource allocation and task offloading optimization problem with the aim of minimizing the overall scheduling cost. We first introduce a task\u2013resource matching matrix to facilitate optimal task offloading policies with computation resources. In addition, virtual queues are constructed to take the impacts of randomized task arrival into account. To solve the optimization objective which jointly considers bandwidth allocation, transmission power control and task offloading decision effectively, we proposed a deep reinforcement learning (DRL) algorithm framework considering type matching. Simulation experiments demonstrate the effectiveness of our proposed algorithm as well as superior performance compared to others.<\/jats:p>","DOI":"10.3390\/jsan14040081","type":"journal-article","created":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T10:13:51Z","timestamp":1754475231000},"page":"81","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Category Attribute-Oriented Heterogeneous Resource Allocation and Task Offloading for SAGIN Edge Computing"],"prefix":"10.3390","volume":"14","author":[{"given":"Yuan","family":"Qiu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Beihang University, Beijing 100191, China"},{"name":"Shanghai Key Laboratory of Collaborative Computing in Spacial Heterogeneous Network, Shanghai 201109, China"},{"name":"Shanghai Aerospace Electronic Technology Institute, Shanghai 201109, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Luo","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Collaborative Computing in Spacial Heterogeneous Network, Shanghai 201109, China"},{"name":"School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianwei","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Beihang University, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinzhong","family":"Zhu","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Collaborative Computing in Spacial Heterogeneous Network, Shanghai 201109, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiming","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Beihang University, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1109\/JIOT.2021.3103320","article-title":"6G Internet of Things: A comprehensive survey","volume":"9","author":"Nguyen","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"17541","DOI":"10.1109\/JIOT.2021.3081983","article-title":"Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting","volume":"8","author":"Hu","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"103568","DOI":"10.1016\/j.jnca.2022.103568","article-title":"Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions","volume":"212","author":"Akhlaqi","year":"2023","journal-title":"J. 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