{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T15:48:15Z","timestamp":1762876095111,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T00:00:00Z","timestamp":1564963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the Huawei Innovation Research Program","award":["HO2018085286"],"award-info":[{"award-number":["HO2018085286"]}]},{"name":"the Tencent Social Ads Rhino-Bird Focused Research Program"},{"name":"the National Natural Science Foundation of China","award":["61872238, 61672353, 61672348"],"award-info":[{"award-number":["61872238, 61672353, 61672348"]}]},{"name":"the National Key R&D Program of China","award":["2018YFB1004703"],"award-info":[{"award-number":["2018YFB1004703"]}]},{"name":"the State Key Laboratory of Air Traffic Management System and Technology","award":["SKLATM20180X"],"award-info":[{"award-number":["SKLATM20180X"]}]},{"name":"the Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing","award":["2018A09"],"award-info":[{"award-number":["2018A09"]}]},{"name":"Alibaba Innovation Research Program"},{"name":"the Shanghai Science and Technology Fund","award":["17510740200"],"award-info":[{"award-number":["17510740200"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,8,5]]},"DOI":"10.1145\/3337821.3337926","type":"proceedings-article","created":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T12:34:36Z","timestamp":1564058076000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["QLEC"],"prefix":"10.1145","author":[{"given":"Ke","family":"Li","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Haowei","family":"Huang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Xiaofeng","family":"Gao","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Fan","family":"Wu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Guihai","family":"Chen","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2019,8,5]]},"reference":[{"volume-title":"An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks. In Joint Conference of the IEEE Computer and Communications Societies (INFOCOM). 1713--1723","author":"Bandyopadhyay S.","key":"e_1_3_2_1_1_1","unstructured":"S. Bandyopadhyay and E.J. Coyle . 2003 . An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks. In Joint Conference of the IEEE Computer and Communications Societies (INFOCOM). 1713--1723 . S. Bandyopadhyay and E.J. Coyle. 2003. An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks. In Joint Conference of the IEEE Computer and Communications Societies (INFOCOM). 1713--1723."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209582.3209610"},{"key":"e_1_3_2_1_3_1","volume-title":"Laura Malaguzzi Valeri, and Colin McCormick","author":"Byers Logan","year":"2018","unstructured":"Logan Byers , Johannes Friedrich , Roman Hennig , Aaron Kressig , Xinyue Li , Laura Malaguzzi Valeri, and Colin McCormick . 2018 . Global Power Plant Database . http:\/\/datasets.wri.org\/dataset\/globalpowerplantdatabase. (Aug. 2018). Logan Byers, Johannes Friedrich, Roman Hennig, Aaron Kressig, Xinyue Li, Laura Malaguzzi Valeri, and Colin McCormick. 2018. Global Power Plant Database. http:\/\/datasets.wri.org\/dataset\/globalpowerplantdatabase. (Aug. 2018)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2002.804190"},{"volume-title":"Hawaii International Conference on System Sciences (HICSS). 1--10","author":"Heinzelman W. R.","key":"e_1_3_2_1_5_1","unstructured":"W. R. Heinzelman , A. Chandrakasan , and H. Balakrishnan . 2000. Energy-efficient communication protocol for wireless microsensor networks . In Hawaii International Conference on System Sciences (HICSS). 1--10 . W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan. 2000. Energy-efficient communication protocol for wireless microsensor networks. In Hawaii International Conference on System Sciences (HICSS). 1--10."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2010.28"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-015-0376-4"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017616"},{"volume-title":"IEEE International Conference on Sensing, Communication, and Networking (SECON). 1--9.","author":"Lin C.","key":"e_1_3_2_1_9_1","unstructured":"C. Lin , Y. Zhou , H. Dai , J. Deng , and G. Wu . 2018. MPF: Prolonging Network Lifetime of Wireless Rechargeable Sensor Networks by Mixing Partial Charge and Full Charge . In IEEE International Conference on Sensing, Communication, and Networking (SECON). 1--9. C. Lin, Y. Zhou, H. Dai, J. Deng, and G. Wu. 2018. MPF: Prolonging Network Lifetime of Wireless Rechargeable Sensor Networks by Mixing Partial Charge and Full Charge. In IEEE International Conference on Sensing, Communication, and Networking (SECON). 1--9."},{"volume-title":"IEEE Vehicular Technology Conference (VTC).","author":"Loscri V.","key":"e_1_3_2_1_10_1","unstructured":"V. Loscri , G. Morabito , and S. Marano . 2006. A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH) . In IEEE Vehicular Technology Conference (VTC). V. Loscri, G. Morabito, and S. Marano. 2006. A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH). In IEEE Vehicular Technology Conference (VTC)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2006.02.017"},{"key":"e_1_3_2_1_12_1","volume-title":"Barto","author":"Sutton Richard S.","year":"2018","unstructured":"Richard S. Sutton and Andrew G . Barto . 2018 . Reinforcement learning: An introduction. MIT Press . 1--322 pages. Richard S. Sutton and Andrew G. Barto. 2018. Reinforcement learning: An introduction. MIT Press. 1--322 pages."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSN.2013.67"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2018.8377171"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2011.092011.110717"},{"volume-title":"IEEE International Telecommunication Networks and Applications Conference (ITNAC). 1--6.","author":"Wu F.","key":"e_1_3_2_1_16_1","unstructured":"F. Wu , C. Rudiger , and M. R. Yuce . 2017. Design and field test of an autonomous IoT WSN platform for environmental monitoring . In IEEE International Telecommunication Networks and Applications Conference (ITNAC). 1--6. F. Wu, C. Rudiger, and M. R. Yuce. 2017. Design and field test of an autonomous IoT WSN platform for environmental monitoring. In IEEE International Telecommunication Networks and Applications Conference (ITNAC). 1--6."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/2212318.2212343"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241553"}],"event":{"name":"ICPP 2019: 48th International Conference on Parallel Processing","sponsor":["University of Tsukuba University of Tsukuba"],"location":"Kyoto Japan","acronym":"ICPP 2019"},"container-title":["Proceedings of the 48th International Conference on Parallel Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3337821.3337926","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3337821.3337926","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:25:42Z","timestamp":1750206342000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3337821.3337926"}},"subtitle":["A Machine-Learning-Based Energy-Efficient Clustering Algorithm to Prolong Network Lifespan for IoT in High-Dimensional Space"],"short-title":[],"issued":{"date-parts":[[2019,8,5]]},"references-count":18,"alternative-id":["10.1145\/3337821.3337926","10.1145\/3337821"],"URL":"https:\/\/doi.org\/10.1145\/3337821.3337926","relation":{},"subject":[],"published":{"date-parts":[[2019,8,5]]},"assertion":[{"value":"2019-08-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}