{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T22:17:54Z","timestamp":1772576274852,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2020,3,10]],"date-time":"2020-03-10T00:00:00Z","timestamp":1583798400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,10]],"date-time":"2020-03-10T00:00:00Z","timestamp":1583798400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s11227-020-03236-8","type":"journal-article","created":{"date-parts":[[2020,3,10]],"date-time":"2020-03-10T14:02:55Z","timestamp":1583848975000},"page":"10009-10035","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["Efficient data aggregation with node clustering and extreme learning machine for WSN"],"prefix":"10.1007","volume":"76","author":[{"given":"Ihsan","family":"Ullah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hee Yong","family":"Youn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,10]]},"reference":[{"issue":"4","key":"3236_CR1","doi-asserted-by":"publisher","first-page":"1537","DOI":"10.1007\/s11277-018-5652-2","volume":"100","author":"I Ullah","year":"2018","unstructured":"Ullah I, Youn HY (2018) Statistical multipath queue-wise preemption routing for zigbee-based. Wirel Pers Commun 100(4):1537\u20131551","journal-title":"WSN Wirel Pers Commun"},{"key":"3236_CR2","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.inffus.2016.09.005","volume":"35","author":"R Gravina","year":"2017","unstructured":"Gravina R, Alinia P, Ghasemzadeh H, Fortino G (2017) Multi-sensor fusion in body sensor networks: state-of-the-art and research challenges. Inf Fus 35:68\u201380","journal-title":"Inf Fus"},{"key":"3236_CR3","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.inffus.2017.10.006","volume":"42","author":"Q Zhang","year":"2018","unstructured":"Zhang Q, Yang LT, Chen Z, Li P (2018) A survey on deep learning for big data. Inf Fus 42:146\u2013157","journal-title":"Inf Fus"},{"issue":"7","key":"3236_CR4","doi-asserted-by":"publisher","first-page":"3975","DOI":"10.1007\/s11227-018-2642-9","volume":"75","author":"I Ullah","year":"2019","unstructured":"Ullah I, Youn HY (2019) A novel data aggregation scheme based on self-organized map for WSN. J Supercomput 75(7):3975\u20133996","journal-title":"J Supercomput"},{"issue":"5","key":"3236_CR5","doi-asserted-by":"publisher","first-page":"902","DOI":"10.1109\/TCYB.2014.2338611","volume":"45","author":"A De Paola","year":"2015","unstructured":"De Paola A, Gaglio S, Re GL, Milazzo F, Ortolani M (2015) Adaptive distributed outlier detection for WSNs. IEEE Trans Cybern 45(5):902\u2013913","journal-title":"IEEE Trans Cybern"},{"issue":"9","key":"3236_CR6","doi-asserted-by":"publisher","first-page":"1054","DOI":"10.1016\/j.comcom.2012.04.007","volume":"36","author":"LA Villas","year":"2013","unstructured":"Villas LA, Boukerche A, Guidoni DL, De Oliveira HA, De Araujo RB, Loureiro AA (2013) An energy-aware spatio-temporal correlation mechanism to perform efficient data collection in wireless sensor networks. Comput Commun 36(9):1054\u20131066","journal-title":"Comput Commun"},{"key":"3236_CR7","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.stamet.2014.02.002","volume":"19","author":"NH Jadhav","year":"2014","unstructured":"Jadhav NH, Kashid DN, Kulkarni SR (2014) Subset selection in multiple linear regression in the presence of outlier and multicollinearity. Stat Methodol 19:44\u201359","journal-title":"Stat Methodol"},{"issue":"4","key":"3236_CR8","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1109\/JSEN.2013.2293093","volume":"14","author":"F Yuan","year":"2014","unstructured":"Yuan F, Zhan Y, Wang Y (2014) Data density correlation degree clustering method for data aggregation in WSN. IEEE Sens J 14(4):1089\u20131098","journal-title":"IEEE Sens J"},{"key":"3236_CR9","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.inffus.2013.05.001","volume":"21","author":"T Du","year":"2015","unstructured":"Du T, Qu S, Liu F, Wang Q (2015) An energy efficiency semi-static routing algorithm for WSNs based on HAC clustering method. Inf Fus 21:18\u201329","journal-title":"Inf Fus"},{"key":"3236_CR10","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.inffus.2017.02.002","volume":"38","author":"A Abrardo","year":"2017","unstructured":"Abrardo A, Martal\u00f2 M, Ferrari G (2017) Information fusion for efficient target detection in large-scale surveillance wireless sensor networks. Inf Fus 38:55\u201364","journal-title":"Inf Fus"},{"key":"3236_CR11","unstructured":"Shobana M, Sabitha R, Karthik S Cluster-based systematic data aggregation model (CSDAM) for real-time data processing in large-scale WSN. Wirel Pers Commun 1\u201319"},{"key":"3236_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.inffus.2017.01.004","volume":"37","author":"Z Wang","year":"2017","unstructured":"Wang Z, Wu D, Gravina R, Fortino G, Jiang Y, Tang K (2017) Kernel fusion based extreme learning machine for cross-location activity recognition. Inf Fus 37:1\u20139","journal-title":"Inf Fus"},{"key":"3236_CR13","first-page":"237","volume-title":"Outlier analysis","author":"CC Aggarwal","year":"2015","unstructured":"Aggarwal CC (2015) Outlier analysis. Springer, Berlin, pp 237\u2013263"},{"key":"3236_CR14","first-page":"V1","volume-title":"Data aggregation scheme using neural networks in wireless sensor networks","author":"L-Y Sun","year":"2010","unstructured":"Sun L-Y, Cai W, Huang X-X (2010) Data aggregation scheme using neural networks in wireless sensor networks. IEEE, Piscataway, pp V1\u2013725"},{"key":"3236_CR15","unstructured":"Bo W, Han-ying H, Wen F (2007) A pseudo LEACH algorithm for wireless sensor networks. In: International multi conference of engineers and computer scientists, IMECS, Hong Kong, China, pp 1366\u20131370"},{"issue":"7","key":"3236_CR16","doi-asserted-by":"publisher","first-page":"1010","DOI":"10.1109\/TPDS.2007.1046","volume":"18","author":"C Liu","year":"2007","unstructured":"Liu C, Wu K, Pei J (2007) An energy-efficient data collection framework for wireless sensor networks by exploiting spatiotemporal correlation. IEEE Trans Parallel Distrib Syst 18(7):1010\u20131023","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"3236_CR17","first-page":"375","volume-title":"Filter based multiple sensor data fusion in systems with time delayed state","author":"N Shivashankarappa","year":"2016","unstructured":"Shivashankarappa N, Adiga S, Avinash R, Kalman Janardhan H (2016) Filter based multiple sensor data fusion in systems with time delayed state. IEEE, Piscataway, pp 375\u201382"},{"key":"3236_CR18","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-3-642-02704-8_12","volume":"5586","author":"W-T Sung","year":"2009","unstructured":"Sung W-T (2009) Employed BPN to multi-sensors data fusion for environment monitoring services. Auton Trust Comput 5586:149\u2013163","journal-title":"Auton Trust Comput"},{"key":"3236_CR19","unstructured":"Murphy KP, Russell S (2002) Dynamic bayesian networks: representation, inference and learning. PhD Thesis, UC Berkeley, Computer Science Division"},{"issue":"2","key":"3236_CR20","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1109\/TSMCB.2005.859081","volume":"36","author":"Y Zhang","year":"2006","unstructured":"Zhang Y, Ji Q (2006) Active and dynamic information fusion for multisensor systems with dynamic Bayesian networks. IEEE Trans Syst Man Cybern Part B Cybern 36(2):467\u2013472","journal-title":"IEEE Trans Syst Man Cybern Part B Cybern"},{"key":"3236_CR21","first-page":"2502","volume-title":"User detection through multi-sensor fusion in an ami scenario","author":"A De Paola","year":"2012","unstructured":"De Paola A, La Cascia M, Re GL, Morana M, Ortolani M (2012) User detection through multi-sensor fusion in an ami scenario. IEEE, Piscataway, pp 2502\u20132509"},{"key":"3236_CR22","doi-asserted-by":"crossref","unstructured":"van Kasteren T, Krose B (2007) Bayesian activity recognition in residence for elders. In: IE\u201907: proceedings of the third international intelligent environments conference, pp 209\u2013212","DOI":"10.1049\/cp:20070370"},{"key":"3236_CR23","first-page":"72","volume-title":"A middleware framework for ambiguous context mediation in smart healthcare application","author":"N Roy","year":"2007","unstructured":"Roy N, Pallapa G, Das SK (2007) A middleware framework for ambiguous context mediation in smart healthcare application. IEEE, Piscataway, pp 72\u201372"},{"issue":"5","key":"3236_CR24","doi-asserted-by":"publisher","first-page":"1525","DOI":"10.1109\/TIM.2009.2014507","volume":"58","author":"MA Hossain","year":"2009","unstructured":"Hossain MA, Atrey PK, El Saddik A (2009) Learning multisensor confidence using a reward-and-punishment mechanism. IEEE Trans Instrum Meas 58(5):1525\u20131534","journal-title":"IEEE Trans Instrum Meas"},{"issue":"8","key":"3236_CR25","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.1109\/TMC.2013.47","volume":"13","author":"O Yurur","year":"2014","unstructured":"Yurur O, Labrador M, Moreno W (2014) Adaptive and energy efficient context representation framework in mobile sensing. IEEE Trans Mob Comput 13(8):1681\u20131693","journal-title":"IEEE Trans Mob Comput"},{"issue":"1","key":"3236_CR26","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/TMC.2010.139","volume":"10","author":"A Rahmati","year":"2011","unstructured":"Rahmati A, Zhong L (2011) Context-based network estimation for energy-efficient ubiquitous wireless connectivity. IEEE Trans Mob Comput 10(1):54\u201366","journal-title":"IEEE Trans Mob Comput"},{"issue":"5","key":"3236_CR27","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1109\/TMC.2009.154","volume":"9","author":"S Kang","year":"2010","unstructured":"Kang S, Lee J, Jang H, Lee Y, Park S, Song J (2010) A scalable and energy-efficient context monitoring framework for mobile personal sensor networks. IEEE Trans Mob Comput 9(5):686\u2013702","journal-title":"IEEE Trans Mob Comput"},{"key":"3236_CR28","first-page":"29","volume-title":"ACE: exploiting correlation for energy-efficient and continuous context sensing","author":"S Nath","year":"2012","unstructured":"Nath S (2012) ACE: exploiting correlation for energy-efficient and continuous context sensing. ACM, New York, pp 29\u201342"},{"key":"3236_CR29","first-page":"221","volume-title":"Carlog: a platform for flexible and efficient automotive sensing","author":"Y Jiang","year":"2014","unstructured":"Jiang Y, Qiu H, McCartney M, Halfond WG, Bai F, Grimm D et al (2014) Carlog: a platform for flexible and efficient automotive sensing. ACM, New York, pp 221\u2013235"},{"issue":"1","key":"3236_CR30","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1186\/1687-1499-2013-85","volume":"2013","author":"G Li","year":"2013","unstructured":"Li G, Wang Y (2013) Automatic ARIMA modeling-based data aggregation scheme in wireless sensor networks. EURASIP J Wirel Commun Netw 2013(1):85","journal-title":"EURASIP J Wirel Commun Netw"},{"issue":"3","key":"3236_CR31","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1109\/TC.2010.140","volume":"60","author":"M Zhao","year":"2011","unstructured":"Zhao M, Ma M, Yang Y (2011) Efficient data gathering with mobile collectors and space-division multiple access technique in wireless sensor networks. IEEE Trans Comput 60(3):400\u2013417","journal-title":"IEEE Trans Comput"},{"key":"3236_CR32","first-page":"244","volume-title":"Multiple controlled mobile elements (data mules) for data collection in sensor networks","author":"D Jea","year":"2005","unstructured":"Jea D, Somasundara A, Srivastava M (2005) Multiple controlled mobile elements (data mules) for data collection in sensor networks. Springer, Berlin, pp 244\u2013257"},{"key":"3236_CR33","first-page":"143","volume-title":"Joint routing and navigation protocols for data harvesting in sensor networks","author":"J Rao","year":"2008","unstructured":"Rao J, Biswas S (2008) Joint routing and navigation protocols for data harvesting in sensor networks. IEEE, Piscataway, pp 143\u2013152"},{"key":"3236_CR34","first-page":"129","volume-title":"Using predictable observer mobility for power efficient design of sensor networks","author":"A Chakrabarti","year":"2003","unstructured":"Chakrabarti A, Sabharwal A, Aazhang B (2003) Using predictable observer mobility for power efficient design of sensor networks. Springer, Berlin, pp 129\u2013145"},{"key":"3236_CR35","doi-asserted-by":"crossref","unstructured":"Aslanyan H, Leone P, Rolim J (2010) Data propagation with guaranteed delivery for mobile networks. In: Experimental algorithms, vol 6049, pp 386\u2013397","DOI":"10.1007\/978-3-642-13193-6_33"},{"key":"3236_CR36","doi-asserted-by":"crossref","unstructured":"Howard A, Matari\u0107 MJ, Sukhatme GS (2002) Mobile sensor network deployment using potential fields: a distributed, scalable solution to the area coverage problem. In: Distributed autonomous robotic systems, vol 5. Springer, Berlin, pp 299\u2013308","DOI":"10.1007\/978-4-431-65941-9_30"},{"key":"3236_CR37","unstructured":"Santini S, Romer K (2006) An adaptive strategy for quality-based data reduction in wireless sensor networks, pp 29\u201336"},{"issue":"04","key":"3236_CR38","doi-asserted-by":"publisher","first-page":"300","DOI":"10.4236\/wsn.2010.24041","volume":"2","author":"K Khedo","year":"2010","unstructured":"Khedo K, Doomun R, Aucharuz S (2010) Reada: redundancy elimination for accurate data aggregation in wireless sensor networks. Wirel Sens Netw 2(04):300","journal-title":"Wirel Sens Netw"},{"key":"3236_CR39","doi-asserted-by":"crossref","unstructured":"Ozdemir S, Xiao Y (2011) Polynomial regression based secure data aggregation for wireless sensor networks. In: IEEE, pp 1\u20135","DOI":"10.1109\/GLOCOM.2011.6133924"},{"key":"3236_CR40","doi-asserted-by":"publisher","DOI":"10.1002\/0470045345","volume-title":"Optimal state estimation","author":"D Simon","year":"2006","unstructured":"Simon D (2006) Optimal state estimation. Wiley, New York"},{"key":"3236_CR41","volume-title":"Neural networks and statistical learning","author":"K-L Du","year":"2013","unstructured":"Du K-L, Swamy MN (2013) Neural networks and statistical learning. Springer, Berlin"},{"issue":"1\u20133","key":"3236_CR42","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Zhu Q-Y, Siew C-K (2006) Extreme learning machine: theory and applications. Neurocomputing 70(1\u20133):489\u2013501","journal-title":"Neurocomputing"},{"issue":"8","key":"3236_CR43","doi-asserted-by":"publisher","first-page":"19443","DOI":"10.3390\/s150819443","volume":"15","author":"Y Yin","year":"2015","unstructured":"Yin Y, Liu F, Zhou X, Li Q (2015) An efficient data compression model based on spatial clustering and principal component analysis in wireless sensor networks. Sensors 15(8):19443\u201319465","journal-title":"Sensors"},{"issue":"8","key":"3236_CR44","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.3390\/s16081201","volume":"16","author":"H Lin","year":"2016","unstructured":"Lin H, Bai D, Gao D, Liu Y (2016) Maximum data collection rate routing protocol based on topology control for rechargeable wireless sensor networks. Sensors 16(8):1201","journal-title":"Sensors"},{"key":"3236_CR45","unstructured":"Comparison OF LEACH EAMMH SEP TEEN Protocols (Contact for codes in WSN)\u2014File Exchange\u2014MATLAB Central. https:\/\/kr.mathworks.com\/matlabcentral\/fileexchange\/46199-comparison-of-leach-eammh-sep-teen-protocols--contact-for-codes-in-wsn-46. Accessed 15 Apr 2019"},{"key":"3236_CR46","unstructured":"Taormina R (2018) ELM_MatlabClass: fast OOP MATLAB\u00ae implementation of extreme learning machines for both regression and binary classification problems. https:\/\/github.com\/rtaormina\/ELM_MatlabClass. Accessed 5 Mar 2019"},{"key":"3236_CR47","unstructured":"UCI Machine Learning Repository: Data Sets. https:\/\/archive.ics.uci.edu\/ml\/datasets.php. Accessed 28 May 2019"},{"key":"3236_CR48","unstructured":"Data Aggregation Framework for Clustered Sensor Networks Using Multilayer Perceptron Neural Network. https:\/\/ijarcet.org\/wp-content\/uploads\/IJARCET-VOL-4-ISSUE-4-1156-1160.pdf. Accessed 17 Feb 2019"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-020-03236-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11227-020-03236-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-020-03236-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T00:39:17Z","timestamp":1615336757000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11227-020-03236-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,10]]},"references-count":48,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["3236"],"URL":"https:\/\/doi.org\/10.1007\/s11227-020-03236-8","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,10]]},"assertion":[{"value":"10 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}