{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T13:31:29Z","timestamp":1778160689343,"version":"3.51.4"},"reference-count":32,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T00:00:00Z","timestamp":1710892800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","award":["KYCX21_0724"],"award-info":[{"award-number":["KYCX21_0724"]}]},{"name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","award":["NY222118"],"award-info":[{"award-number":["NY222118"]}]},{"name":"Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications","award":["KYCX21_0724"],"award-info":[{"award-number":["KYCX21_0724"]}]},{"name":"Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications","award":["NY222118"],"award-info":[{"award-number":["NY222118"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Internet of Remote Things (IoRT) networks utilize the backhaul links between unmanned aerial vehicles (UAVs) and low-earth-orbit (LEO) satellites to transfer the massive data collected by sensors. However, the backhaul links change rapidly due to the fast movement of both the UAVs and the satellites, which is different from conventional wireless networks. Additionally, due to the various requirements of IoRT multiservices, the system performance should be comprehensively considered. Thus, an adjustable wireless backhaul link selection algorithm for a LEO-UAV-sensor-based IoRT network is proposed. Firstly, an optimization model for backhaul link selection is proposed. This model uses Q, which integrates the remaining service time and capacity as the objective function. Then, based on the snapshot method, the dynamic topology is converted into the static topology and a heuristic optimization algorithm is proposed to solve the backhaul link selection problem. Finally, the proposed algorithm is compared with two traditional algorithms, i.e., maximum service time and maximum capacity algorithms. Numerical simulation results show that the proposed model can achieve better system performance, and the overload of the satellites is more balanced. The algorithm can obtain a trade-off between remaining service time and capacity by dynamically adjusting model parameters. Thus, the adjustable backhaul link selection algorithm can apply to multiservice IoRT scenarios.<\/jats:p>","DOI":"10.3390\/s24061973","type":"journal-article","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T05:04:12Z","timestamp":1710911052000},"page":"1973","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An Adjustable Wireless Backhaul Link Selection Algorithm for LEO-UAV-Sensor-Based Internet of Remote Things Network"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5768-682X","authenticated-orcid":false,"given":"Rui","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210049, China"},{"name":"Jiangsu Broadcasting Corporation, Nanjing 210008, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wennai","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1109\/MNET.001.1900287","article-title":"A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems","volume":"34","author":"Saad","year":"2020","journal-title":"IEEE Netw."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3491","DOI":"10.1109\/JSAC.2021.3088626","article-title":"UAV-LEO Integrated Backbone: A Ubiquitous Data Collection Approach for B5G Internet of Remote Things Networks","volume":"39","author":"Ma","year":"2021","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1109\/JIOT.2015.2487046","article-title":"Satellite Communications Supporting Internet of Remote Things","volume":"3","author":"Cianca","year":"2016","journal-title":"IEEE Internet Things J."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Finochietto, M., Santos, R., Ochoa, S.F., and Meseguer, R. (2022). Reducing Operational Expenses of LoRaWAN-Based Internet of Remote Things Applications. Sensors, 22.","DOI":"10.3390\/s22207778"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"145348","DOI":"10.1109\/ACCESS.2019.2945478","article-title":"Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Access"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Chen, Y., Zhang, M., Li, X., Che, T., Jin, R., Guo, J., Yang, W., An, B., and Nie, X. (2022). Satellite-Enabled Internet of Remote Things Network Transmits Field Data from the Most Remote Areas of the Tibetan Plateau. Sensors, 22.","DOI":"10.3390\/s22103713"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Marchese, M., Moheddine, A., and Patrone, F. (2019). IoT and UAV Integration in 5G Hybrid Terrestrial-Satellite Networks. Sensors, 19.","DOI":"10.3390\/s19173704"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/MWC.2018.1800160","article-title":"UAV-Assisted Emergency Networks in Disasters","volume":"26","author":"Zhao","year":"2019","journal-title":"IEEE Wirel. Commun."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4531","DOI":"10.1109\/TWC.2019.2926279","article-title":"Adaptive Deployment for UAV-Aided Communication Networks","volume":"18","author":"Wang","year":"2019","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Wang, Z., Duan, L., and Zhang, R. (2018, January 9\u201313). Traffic-Aware Adaptive Deployment for UAV-Aided Communication Networks. Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates.","DOI":"10.1109\/GLOCOM.2018.8647708"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"41566","DOI":"10.1109\/ACCESS.2021.3065055","article-title":"3D Location and Resource Allocation Optimization for UAV-Enabled Emergency Networks Under Statistical QoS Constraint","volume":"9","author":"Niu","year":"2021","journal-title":"IEEE Access"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"9814","DOI":"10.1109\/JIOT.2020.3021255","article-title":"LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks","volume":"8","author":"Jia","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Kishk, M.A., and Alouini, M.S. (2021). A Survey on Integrated Access and Backhaul Networks. Front. Commun. Netw., 2.","DOI":"10.3389\/frcmn.2021.647284"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Fouda, A., Ibrahim, A.S., Guvenc, I., and Ghosh, M. (2018, January 27\u201330). UAV-Based In-Band Integrated Access and Backhaul for 5G Communications. Proceedings of the 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA.","DOI":"10.1109\/VTCFall.2018.8690860"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Almohamad, A., Hasna, M.O., Khattab, T., and Haouari, M. (2018, January 17\u201319). Maximizing Dense Network Flow through Wireless Multihop Backhauling using UAVs. Proceedings of the 2018 International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Republic of Korea.","DOI":"10.1109\/ICTC.2018.8539573"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Di, B., Zhang, H., Song, L., Li, Y., and Li, G.Y. (2018, January 9\u201313). Data Offloading in Ultra-Dense LEO-Based Integrated Terrestrial-Satellite Networks. Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates.","DOI":"10.1109\/GLOCOM.2018.8647954"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Xiao, Z., Yang, J., Mao, T., Xu, C., Zhang, R., Han, Z., and Xia, X.G. (2022). LEO Satellite Access Network (LEO-SAN) towards 6G: Challenges and Approaches. IEEE Wireless Commun., 1\u20138.","DOI":"10.1109\/MWC.011.2200310"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Qu, H., Zhang, W., Zhao, J., Luan, Z., and Chang, C. (2020, January 21\u201323). Rapid Deployment of UAVs Based on Bandwidth Resources in Emergency Scenarios. Proceedings of the 2020 Information Communication Technologies Conference (ICTC), Jeju Island, Republic of Korea.","DOI":"10.1109\/ICTC49638.2020.9123274"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1109\/JSAC.2015.2476075","article-title":"Optimal Power Allocation With Statistical QoS Provisioning for D2D and Cellular Communications Over Underlaying Wireless Networks","volume":"34","author":"Cheng","year":"2016","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1007\/s11277-019-06273-6","article-title":"A Telemedicine Platform for Disaster Management and Emergency Care","volume":"106","author":"Anwar","year":"2019","journal-title":"Wirel. Pers. Commun."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"5155","DOI":"10.1109\/TITS.2020.3020220","article-title":"UAV-Assisted Content Delivery in Intelligent Transportation Systems-Joint Trajectory Planning and Cache Management","volume":"22","author":"Samir","year":"2021","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"20498","DOI":"10.1109\/JIOT.2023.3287196","article-title":"Marine IoT Systems With Space\u2013Air\u2013Sea Integrated Networks: Hybrid LEO and UAV Edge Computing","volume":"10","author":"Jung","year":"2023","journal-title":"IEEE Internet Things J."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"5293","DOI":"10.1109\/JSYST.2022.3147491","article-title":"Energy-Aware Relay Optimization and Power Allocation in Multiple Unmanned Aerial Vehicles Aided Satellite-Aerial-Terrestrial Networks","volume":"16","author":"Shi","year":"2022","journal-title":"IEEE Syst. J."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Mohamed, E.M. (2023). LEO satellite assisted UAV distribution using combinatorial bandit with fairness and budget constraints. PLoS ONE, 18.","DOI":"10.1371\/journal.pone.0290432"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Zhang, H., Xi, S., Jiang, H., Shen, Q., Shang, B., and Wang, J. (2023). Resource Allocation and Offloading Strategy for UAV-Assisted LEO Satellite Edge Computing. Drones, 7.","DOI":"10.3390\/drones7060383"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"\u00c7elikbilek, K., Saleem, Z., Morales Ferre, R., Praks, J., and Lohan, E.S. (2022). Survey on Optimization Methods for LEO-Satellite-Based Networks with Applications in Future Autonomous Transportation. Sensors, 22.","DOI":"10.3390\/s22041421"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2427","DOI":"10.1109\/TMC.2020.2980834","article-title":"Multi-Area Throughput and Energy Optimization of UAV-Aided Cellular Networks Powered by Solar Panels and Grid","volume":"20","author":"Chiaraviglio","year":"2021","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.osn.2018.11.004","article-title":"An optimization model for robust FSO network dimensioning","volume":"32","author":"Nace","year":"2019","journal-title":"Opt. Switch. Netw."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/JCN.2018.000010","article-title":"Low-delay broadband satellite communications with high-altitude unmanned aerial vehicles","volume":"20","author":"Joo","year":"2018","journal-title":"J. Commun. Netw."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.actaastro.2019.03.040","article-title":"A technical comparison of three low earth orbit satellite constellation systems to provide global broadband","volume":"159","author":"Cameron","year":"2019","journal-title":"Acta Astronaut."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1109\/MCOMSTD.001.2000004","article-title":"Narrowband Internet of Things for Non-Terrestrial Networks","volume":"4","author":"Liberg","year":"2020","journal-title":"IEEE Commun. Stand. Mag."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/COMST.2006.283818","article-title":"Handover schemes in satellite networks: State-of-the-art and future research directions","volume":"8","author":"Chowdhury","year":"2006","journal-title":"IEEE Commun. Surv. 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