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Sen. Netw."],"published-print":{"date-parts":[[2024,5,31]]},"abstract":"<jats:p>\n            LoRa is widely deploying in aquatic environments to support various Internet of Things applications. However, floating LoRa networks suffer from serious performance degradation due to the polarization loss caused by the swaying antenna. Existing methods that only control the transmission starting from the aligned attitude have limited improvement due to the ignorance of aligned period length. In this article, we propose\n            <jats:italic>PolarScheduler<\/jats:italic>\n            , a dynamic transmission control method for floating LoRa networks.\n            <jats:italic>PolarScheduler<\/jats:italic>\n            actively controls transmission configurations to match polarization aligned periods. We propose a V-zone model to capture diverse aligned periods under different configurations. We also design a low-cost model establishment method and an efficient optimal configuration searching algorithm to make full use of aligned periods. To deal with packet collisions in a multiple-node environment, we further propose an Attitude-aware Slot-allocation MAC protocol, which avoids both packet collisions and polarization loss. We implement\n            <jats:italic>PolarScheduler<\/jats:italic>\n            on commercial LoRa platforms and evaluate its performance in a deployed network. Extensive experiments show that\n            <jats:italic>PolarScheduler<\/jats:italic>\n            can improve the packet delivery rate and throughput by up to 20.0% and 15.7%, compared to the state-of-the-art method.\n          <\/jats:p>","DOI":"10.1145\/3652856","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T14:25:36Z","timestamp":1710771936000},"page":"1-33","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["<i>PolarScheduler<\/i>\n            : Dynamic Transmission Control for Floating LoRa Networks"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7950-6773","authenticated-orcid":false,"given":"Xiaolong","family":"Zheng","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4940-0614","authenticated-orcid":false,"given":"Ruinan","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3792-0057","authenticated-orcid":false,"given":"Yuting","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems, Tiangong University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5040-2468","authenticated-orcid":false,"given":"Liang","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7199-5047","authenticated-orcid":false,"given":"Huadong","family":"Ma","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2024,4,23]]},"reference":[{"issue":"2","key":"e_1_3_1_2_2","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1109\/TWC.2019.2952584","article-title":"On the error rate of the LoRa modulation with interference","volume":"19","author":"Afisiadis Orion","year":"2020","unstructured":"Orion Afisiadis, Matthieu Cotting, Andreas Burg, and Alexios Balatsoukas-Stimming. 2020. 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In Proceedings of IEEE INFOCOM."},{"issue":"6","key":"e_1_3_1_31_2","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1049\/cje.2022.00.191","article-title":"Real-world wireless network modeling and optimization: From model\/data-driven perspective","volume":"31","year":"2022","unstructured":"Yang Li, Shutao Zhang, Xiaohui Ren, Jianhang Zhu, Jiajie Huang, Pengcheng He, Kaiming Shen, Zhiqiang Yao, Jie Gong, Tsunghui Chang, Qingjiang Shi, and Zhiquan Luo. 2022. Real-world wireless network modeling and optimization: From model\/data-driven perspective. Chin. J. Electron. 31, 6 (2022), 991\u20131012.","journal-title":"Chin. J. Electron."},{"issue":"2","key":"e_1_3_1_32_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3293534","article-title":"Known and unknown facts of LoRa: Experiences from a large-scale measurement study","volume":"15","author":"Liando Jansen C.","year":"2019","unstructured":"Jansen C. Liando, Amalinda Gamage, Agustinus W. 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In Proceedings of ACM CoNEXT."},{"key":"e_1_3_1_41_2","article-title":"LoRaWAN specification","author":"Sornin Nicolas","year":"2015","unstructured":"Nicolas Sornin, Miguel Luis, Thomas Eirich, Thorsten Kramp, and Olivier Hersent. 2015. LoRaWAN specification. LoRa Alliance (2015).","journal-title":"LoRa Alliance"},{"key":"e_1_3_1_42_2","volume-title":"Polarization in Electromagnetic Systems","author":"Stutzman Warren L.","year":"2018","unstructured":"Warren L. Stutzman. 2018. Polarization in Electromagnetic Systems. Artech house."},{"issue":"1","key":"e_1_3_1_43_2","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1109\/COMST.2019.2949598","article-title":"A survey on LoRa networking: Research problems, current solutions, and open issues","volume":"22","author":"Sundaram Jothi Prasanna Shanmuga","year":"2019","unstructured":"Jothi Prasanna Shanmuga Sundaram, Wan Du, and Zhiwei Zhao. 2019. A survey on LoRa networking: Research problems, current solutions, and open issues. 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In Proceedings of MobiCom. 642\u2013655."},{"key":"e_1_3_1_47_2","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1145\/3386901.3388913","volume-title":"Proceedings of MobiSys","author":"Tong Shuai","year":"2020","unstructured":"Shuai Tong, Jiliang Wang, and Yunhao Liu. 2020. Combating packet collisions using non-stationary signal scaling in LPWANs. In Proceedings of MobiSys. 234\u2013246."},{"issue":"3","key":"e_1_3_1_48_2","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1049\/cje.2021.00.314","article-title":"Trajectory optimization and power allocation scheme based on DRL in energy efficient UAV-aided communication networks","volume":"31","author":"Wang Chaowei","year":"2022","unstructured":"Chaowei Wang, Yuling Cui, Danhao Deng, Weidong Wang, and Fan Jiang. 2022. Trajectory optimization and power allocation scheme based on DRL in energy efficient UAV-aided communication networks. Chin. J. Electron. 31, 3 (2022), 397\u2013407.","journal-title":"Chin. J. 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