{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:40:16Z","timestamp":1767339616329,"version":"build-2065373602"},"reference-count":69,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2020,11,22]],"date-time":"2020-11-22T00:00:00Z","timestamp":1606003200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The article presents a throughput maximization approach for UAV assisted ground networks. Throughput maximization involves minimizing delay and packet loss through UAV trajectory optimization, reinforcing the congested nodes and transmission channels. The aggressive reinforcement policy is achieved by characterizing nodes, links, and overall topology through delay, loss, throughput, and distance. A position-aware graph neural network (GNN) is used for characterization, prediction, and dynamic UAV trajectory enhancement. To establish correctness, the proposed approach is validated against optimized link state routing (OLSR) driven UAV assisted ground networks. The proposed approach considerably outperforms the classical approach by demonstrating significant gains in throughput and packet delivery ratio with notable decrements in delay and packet loss. The performance analysis of the proposed approach against software-defined UAVs (U-S) and UAVs as base stations (U-B) verifies the consistency and gains in average throughput while minimizing delay and packet loss. The scalability test of the proposed approach is performed by varying data rates and the number of UAVs.<\/jats:p>","DOI":"10.3390\/s20226680","type":"journal-article","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T01:28:48Z","timestamp":1606094928000},"page":"6680","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Efficient Deployment with Throughput Maximization for UAVs Communication Networks"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3917-3051","authenticated-orcid":false,"given":"Mohd Abuzar","family":"Sayeed","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala 147004, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4764-7656","authenticated-orcid":false,"given":"Rajesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala 147004, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7470-6506","authenticated-orcid":false,"given":"Vishal","family":"Sharma","sequence":"additional","affiliation":[{"name":"School of Electronics, Electrical Engineering and Computer Science (EEECS), Queen\u2019s University Belfast (QUB), Belfast BT7 1NN, Northern Ireland, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8432-7323","authenticated-orcid":false,"given":"Mohd Asim","family":"Sayeed","sequence":"additional","affiliation":[{"name":"Department of Information and Technology, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, India"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/MVT.2015.2481560","article-title":"Multi-UAV-aided networks: Aerial-ground cooperative vehicular networking architecture","volume":"10","author":"Zhou","year":"2015","journal-title":"IEEE Veh. 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