{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:58Z","timestamp":1750220338732,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T00:00:00Z","timestamp":1641859200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,11]]},"DOI":"10.1145\/3512850.3512857","type":"proceedings-article","created":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T10:08:07Z","timestamp":1650276487000},"page":"98-104","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Distributed Unsupervised Pattern Learning for Constrained Sensor Network"],"prefix":"10.1145","author":[{"given":"Zhiwen","family":"Chen","sequence":"first","affiliation":[{"name":"Wuhan Railway Vocational College of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiong","family":"Hao","sequence":"additional","affiliation":[{"name":"Wuhan Railway Vocational College of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,4,18]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture. In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). 1118\u20131128","author":"Ahn Shinyoung","year":"2018","unstructured":"Shinyoung Ahn , Joongheon Kim , Eunji Lim , Wan Choi , Aziz Mohaisen , and Sungwon Kang . 2018 . ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture. In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). 1118\u20131128 . https:\/\/doi.org\/10.1109\/ICDCS.2018.00111 10.1109\/ICDCS.2018.00111 Shinyoung Ahn, Joongheon Kim, Eunji Lim, Wan Choi, Aziz Mohaisen, and Sungwon Kang. 2018. ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture. In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). 1118\u20131128. https:\/\/doi.org\/10.1109\/ICDCS.2018.00111"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.2975550"},{"key":"#cr-split#-e_1_3_2_1_3_1.1","doi-asserted-by":"crossref","unstructured":"Malika Bendechache Nhien-An Le-Khac and Tahar Kechadi. 2016. Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets. https:\/\/doi.org\/10.1109\/ICDMW.2016.0158 10.1109\/ICDMW.2016.0158","DOI":"10.1109\/ICDMW.2016.0158"},{"key":"#cr-split#-e_1_3_2_1_3_1.2","doi-asserted-by":"crossref","unstructured":"Malika Bendechache Nhien-An Le-Khac and Tahar Kechadi. 2016. Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets. https:\/\/doi.org\/10.1109\/ICDMW.2016.0158","DOI":"10.1109\/ICDMW.2016.0158"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2010.5513273"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2015.7218420"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-019-0238-9"},{"volume-title":"Data Aggregation Approaches in WSNs. In 2021 International Conference on Computer Communication and Informatics (ICCCI).","author":"R.","key":"e_1_3_2_1_7_1","unstructured":"Mamta\u00a0 R. Choudhari and Uday Rote. 2021 . Data Aggregation Approaches in WSNs. In 2021 International Conference on Computer Communication and Informatics (ICCCI). Mamta\u00a0R. Choudhari and Uday Rote. 2021. Data Aggregation Approaches in WSNs. In 2021 International Conference on Computer Communication and Informatics (ICCCI)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.222"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2012.09.009"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100284"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/dac.4937"},{"key":"#cr-split#-e_1_3_2_1_12_1.1","doi-asserted-by":"crossref","unstructured":"Hassan Harb Abdallah Makhoul Rapha\u00ebl Couturier and Maguy Medlej. 2015. ATP: An Aggregation and Transmission Protocol for Conserving Energy in Periodic Sensor Networks. In 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises. 134-139. https:\/\/doi.org\/10.1109\/WETICE.2015.9 10.1109\/WETICE.2015.9","DOI":"10.1109\/WETICE.2015.9"},{"key":"#cr-split#-e_1_3_2_1_12_1.2","doi-asserted-by":"crossref","unstructured":"Hassan Harb Abdallah Makhoul Rapha\u00ebl Couturier and Maguy Medlej. 2015. ATP: An Aggregation and Transmission Protocol for Conserving Energy in Periodic Sensor Networks. In 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises. 134-139. https:\/\/doi.org\/10.1109\/WETICE.2015.9","DOI":"10.1109\/WETICE.2015.9"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2681207"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2002.808417"},{"key":"#cr-split#-e_1_3_2_1_15_1.1","doi-asserted-by":"crossref","unstructured":"Hichem Kenniche and Vlady Ravelomanana. 2010. Random Geometric Graphs as model of Wireless Sensor Networks. 103 - 107. https:\/\/doi.org\/10.1109\/ICCAE.2010.5451758 10.1109\/ICCAE.2010.5451758","DOI":"10.1109\/ICCAE.2010.5451758"},{"key":"#cr-split#-e_1_3_2_1_15_1.2","doi-asserted-by":"crossref","unstructured":"Hichem Kenniche and Vlady Ravelomanana. 2010. Random Geometric Graphs as model of Wireless Sensor Networks. 103 - 107. https:\/\/doi.org\/10.1109\/ICCAE.2010.5451758","DOI":"10.1109\/ICCAE.2010.5451758"},{"key":"e_1_3_2_1_16_1","volume-title":"Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network.Sensors 20, 11","author":"Lata Sonam","year":"2020","unstructured":"Sonam Lata , Shabana Mehfuz , Shabana Urooj , Asmaa Ali , and Nidal Nasser . 2020. Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network.Sensors 20, 11 ( 2020 ), 3071. Sonam Lata, Shabana Mehfuz, Shabana Urooj, Asmaa Ali, and Nidal Nasser. 2020. Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network.Sensors 20, 11 (2020), 3071."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2013.43"},{"key":"e_1_3_2_1_19_1","unstructured":"Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise\u00a0Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics. PMLR 1273\u20131282.  Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise\u00a0Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics. PMLR 1273\u20131282."},{"key":"e_1_3_2_1_20_1","volume-title":"Energy-Efficient Wireless Sensor\u2019s Routing Using Balanced Unequal Clustering Technique","author":"Mhatre Mallika","year":"2019","unstructured":"Mallika Mhatre , Anoop Kumar , and C.\u00a0 K. Jha . 2019. Energy-Efficient Wireless Sensor\u2019s Routing Using Balanced Unequal Clustering Technique . Pervasive Computing : A Networking Perspective and Future Directions ( 2019 ), 81\u201391. Mallika Mhatre, Anoop Kumar, and C.\u00a0K. Jha. 2019. Energy-Efficient Wireless Sensor\u2019s Routing Using Balanced Unequal Clustering Technique. Pervasive Computing: A Networking Perspective and Future Directions (2019), 81\u201391."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT45670.2019.8944647"},{"key":"e_1_3_2_1_22_1","unstructured":"M. Narendran and P. Prakasam. 2017. An energy aware competition based clustering for cluster head selection in wireless sensor network with mobility. Cluster Computing (2017) 1\u201310.  M. Narendran and P. Prakasam. 2017. An energy aware competition based clustering for cluster head selection in wireless sensor network with mobility. Cluster Computing (2017) 1\u201310."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2019.2953581"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3119550"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.01.069"},{"key":"#cr-split#-e_1_3_2_1_26_1.1","doi-asserted-by":"crossref","unstructured":"M. Shanmukhi and O.B.V. Ramanaiah. 2015. Cluster-based comb-needle model for energy-efficient data aggregation in wireless sensor networks. In 2015 Applications and Innovations in Mobile Computing (AIMoC). 42-47. https:\/\/doi.org\/10.1109\/AIMOC.2015.7083828 10.1109\/AIMOC.2015.7083828","DOI":"10.1109\/AIMOC.2015.7083828"},{"key":"#cr-split#-e_1_3_2_1_26_1.2","doi-asserted-by":"crossref","unstructured":"M. Shanmukhi and O.B.V. Ramanaiah. 2015. Cluster-based comb-needle model for energy-efficient data aggregation in wireless sensor networks. In 2015 Applications and Innovations in Mobile Computing (AIMoC). 42-47. https:\/\/doi.org\/10.1109\/AIMOC.2015.7083828","DOI":"10.1109\/AIMOC.2015.7083828"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2018.11.009"},{"key":"e_1_3_2_1_28_1","volume-title":"Siyao\u00a0Cheng and Jianzhong Li","author":"Tongxin\u00a0Zhu Zhipeng\u00a0Cai","year":"2016","unstructured":"Zhipeng\u00a0Cai Tongxin\u00a0Zhu , Siyao\u00a0Cheng and Jianzhong Li . 2016 . Critical data points retrieving method for big sensory data in wireless sensor networks. J Wireless Com Network 18 (2016). https:\/\/doi.org\/10.1186\/s13638-015-0505-0 10.1186\/s13638-015-0505-0 Zhipeng\u00a0Cai Tongxin\u00a0Zhu, Siyao\u00a0Cheng and Jianzhong Li. 2016. Critical data points retrieving method for big sensory data in wireless sensor networks. J Wireless Com Network 18 (2016). https:\/\/doi.org\/10.1186\/s13638-015-0505-0"},{"key":"e_1_3_2_1_29_1","volume-title":"International conference on machine learning. PMLR, 478\u2013487","author":"Xie Junyuan","year":"2016","unstructured":"Junyuan Xie , Ross Girshick , and Ali Farhadi . 2016 . Unsupervised deep embedding for clustering analysis . In International conference on machine learning. PMLR, 478\u2013487 . Junyuan Xie, Ross Girshick, and Ali Farhadi. 2016. Unsupervised deep embedding for clustering analysis. In International conference on machine learning. PMLR, 478\u2013487."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Yu Xiuwu Liu Qin Liu Yong Hu Mufang Zhang Ke and Xiao Renrong. 2019. Uneven clustering routing algorithm based on glowworm swarm optimization. In Ad Hoc Networks Vol.\u00a093. 101923.  Yu Xiuwu Liu Qin Liu Yong Hu Mufang Zhang Ke and Xiao Renrong. 2019. Uneven clustering routing algorithm based on glowworm swarm optimization. In Ad Hoc Networks Vol.\u00a093. 101923.","DOI":"10.1016\/j.adhoc.2019.101923"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2004.41"}],"event":{"name":"ICCDE 2022: 2022 The 8th International Conference on Computing and Data Engineering","acronym":"ICCDE 2022","location":"Bangkok Thailand"},"container-title":["2022 The 8th International Conference on Computing and Data Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512850.3512857","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3512850.3512857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:27Z","timestamp":1750191147000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512850.3512857"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,11]]},"references-count":35,"alternative-id":["10.1145\/3512850.3512857","10.1145\/3512850"],"URL":"https:\/\/doi.org\/10.1145\/3512850.3512857","relation":{},"subject":[],"published":{"date-parts":[[2022,1,11]]},"assertion":[{"value":"2022-04-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}