{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:13:34Z","timestamp":1760242414772,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2017,6,29]],"date-time":"2017-06-29T00:00:00Z","timestamp":1498694400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502320, 61373161, 61173009 and 61572060"],"award-info":[{"award-number":["61502320, 61373161, 61173009 and 61572060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science &amp; Technology Project of Beijing Municipal Commission of Education in China","award":["KM201410028015"],"award-info":[{"award-number":["KM201410028015"]}]},{"DOI":"10.13039\/501100012166","name":"973 Program","doi-asserted-by":"publisher","award":["2013CB035503"],"award-info":[{"award-number":["2013CB035503"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CERNET Innovation Project","award":["NGII20151004, NGII20160316"],"award-info":[{"award-number":["NGII20151004, NGII20160316"]}]},{"DOI":"10.13039\/100014380","name":"Beijing Advanced Innovation Center for Imaging Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014380","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Wireless sensor networks are required in smart applications to provide accurate control, where the high density of sensors brings in a large quantity of redundant data. In order to reduce the waste of limited network resources, data aggregation is utilized to avoid redundancy forwarding. However, most of aggregation schemes reduce information accuracy and prolong end-to-end delay when eliminating transmission overhead. In this paper, we propose a data aggregation scheme based on overlapping rate of sensing area, namely AggOR, aiming for energy-efficient data collection in wireless sensor networks with high information accuracy. According to aggregation rules, gathering nodes are selected from candidate parent nodes and appropriate neighbor nodes considering a preset threshold of overlapping rate of sensing area. Therefore, the collected data in a gathering area are highly correlated, and a large amount of redundant data could be cleaned. Meanwhile, AggOR keeps the original entropy by only deleting the duplicated data. Experiment results show that compared with others, AggOR has a high data accuracy and a short end-to-end delay with a similar network lifetime.<\/jats:p>","DOI":"10.3390\/s17071527","type":"journal-article","created":{"date-parts":[[2017,6,29]],"date-time":"2017-06-29T10:40:04Z","timestamp":1498732804000},"page":"1527","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Data Aggregation Based on Overlapping Rate of Sensing Area in Wireless Sensor Networks"],"prefix":"10.3390","volume":"17","author":[{"given":"Xiaolan","family":"Tang","sequence":"first","affiliation":[{"name":"College of Information Engineering, Capital Normal University, Beijing 100048, China"}]},{"given":"Hua","family":"Xie","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Capital Normal University, Beijing 100048, China"}]},{"given":"Wenlong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Capital Normal University, Beijing 100048, China"}]},{"given":"Jianwei","family":"Niu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100191, China"},{"name":"Research Institute of Beihang University in Shenzhen, Shenzhen 518057, China"}]},{"given":"Shuhang","family":"Wang","sequence":"additional","affiliation":[{"name":"Schepens Eye Research Institute, Harvard Medical School, Boston, MA 02114, USA"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"29535","DOI":"10.3390\/s151129535","article-title":"A real-time monitoring system of industry carbon monoxide based on wireless sensor networks","volume":"15","author":"Yang","year":"2015","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1002\/ett.2661","article-title":"Energy-efficient multicast routing scheme for wireless sensor networks","volume":"25","author":"Tang","year":"2014","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Jeschke, S., Brecher, C., Song, H., and Rawat, D. (2017). Industrial Internet of Things: Cyber Manufacturing Systems, Springer.","DOI":"10.1007\/978-3-319-42559-7"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"9043","DOI":"10.1109\/ACCESS.2016.2638441","article-title":"Geographic Routing in Duty-cycled Industrial Wireless Sensor Networks with Radio Irregularity","volume":"4","author":"Shu","year":"2016","journal-title":"IEEE Access"},{"key":"ref_5","first-page":"1","article-title":"Releasing network isolation problem in group-based industrial wireless sensor networks","volume":"1","author":"Shu","year":"2015","journal-title":"IEEE Syst. J."},{"key":"ref_6","first-page":"249","article-title":"Data aggregation in wireless sensor networks","volume":"3","author":"Kumar","year":"2014","journal-title":"Int. J. Sci. Res."},{"key":"ref_7","first-page":"687","article-title":"A survey on cluster based routing protocols in wireless sensor networks","volume":"45","author":"Singh","year":"2015","journal-title":"Comput. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4979142","DOI":"10.1177\/155014774979142","article-title":"Cluster analysis in wireless sensor networks: The ambit of performance metrics and schemes taxonomy","volume":"12","author":"Zeb","year":"2016","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/MWC.2007.358967","article-title":"In-network aggregation techniques for wireless sensor networks: A survey","volume":"14","author":"Fasolo","year":"2007","journal-title":"IEEE Wirel. Commun."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1145\/844128.844142","article-title":"TAG: A tiny aggregation service for ad-hoc sensor networks","volume":"36","author":"Madden","year":"2002","journal-title":"ACM SIGOPS Oper. Syst. Rev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/978-3-642-02903-5_7","article-title":"Building efficient aggregation trees for sensor network event-monitoring queries","volume":"5659","author":"Deligiannakis","year":"2009","journal-title":"Int. Conf. GeoSens. Netw."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"637387","DOI":"10.1155\/2015\/637387","article-title":"An adaptive spanning tree-based data collection scheme in wireless sensor networks","volume":"2015","author":"Zhang","year":"2015","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Manjhi, A., Nath, S., and Gibbons, P.B. (2005, January 14\u201316). Tributaries and deltas: Efficient and robust aggregation in sensor network stream. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, Baltimore, MD, USA.","DOI":"10.1145\/1066157.1066191"},{"key":"ref_14","first-page":"1","article-title":"Research on energy efficient routing protocol LEACH for wireless sensor networks","volume":"2","author":"Shukla","year":"2013","journal-title":"Int. J. Eng."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1109\/TMC.2004.41","article-title":"HEED: A hybrid, energy-efficient, distributed clustering approach for Ad hoc sensor networks","volume":"3","author":"Younis","year":"2004","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_16","unstructured":"Li, C., Ye, M., Chen, G., and Wu, J. (2005, January 7). An energy-efficient unequal clustering mechanism for wireless sensor networks. Proceedings of the 2005 IEEE International Conference on Mobile Adhoc and Sensor Systems Conference (MASS), Washington, DC, USA."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1016\/j.aeue.2015.01.002","article-title":"A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks","volume":"69","author":"Sabet","year":"2015","journal-title":"AEU Int. J. Electron. Commun."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1109\/LCOMM.2014.2379715","article-title":"Energy efficient clustering scheme for prolonging the lifetime of wireless sensor network with isolated nodes","volume":"19","author":"Leu","year":"2015","journal-title":"IEEE Commun. Lett."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.comnet.2016.04.022","article-title":"HEER-A delay-aware and energy efficient routing protocol for wireless sensor networks","volume":"104","author":"Yi","year":"2016","journal-title":"Comput. Netw."},{"key":"ref_20","first-page":"10","article-title":"A special correlation aware algorithm to perform efficient data collection in wireless sensor networks","volume":"12","author":"Villas","year":"2011","journal-title":"Ad Hoc Netw."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1109\/TC.2012.31","article-title":"DRINA: A lightweight and reliable routing approach for in-network aggregation in wireless sensor networks","volume":"64","author":"Villas","year":"2013","journal-title":"IEEE Trans. Comput."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1016\/j.energy.2016.08.012","article-title":"An adaptive cluster approach to dynamic load balancing and energy efficiency in wireless sensor networks","volume":"114","author":"Gherbi","year":"2016","journal-title":"Energy"},{"key":"ref_23","first-page":"184","article-title":"A Hole-Tolerant Redundancy Scheme for Wireless Sensor Networks","volume":"2012","author":"Pu","year":"2012","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1401","DOI":"10.1109\/TNET.2014.2331178","article-title":"Energy-efficient randomized switching for maximizing lifetime in tree-based wireless sensor networks","volume":"23","author":"Imon","year":"2015","journal-title":"IEEE ACM Trans. Netw."},{"key":"ref_25","first-page":"97","article-title":"Node classification method based on integrative support degree in WSN","volume":"36","author":"Xiang","year":"2010","journal-title":"Comput. Eng."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1109\/MCOM.2009.4804398","article-title":"Simulation tools for multilayer fault restoration","volume":"47","author":"George","year":"2009","journal-title":"IEEE Commun. Mag."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1109\/JIOT.2016.2517405","article-title":"RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks","volume":"3","author":"Dong","year":"2016","journal-title":"IEEE Internet Things J."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/7\/1527\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:40:46Z","timestamp":1760208046000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/7\/1527"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,29]]},"references-count":27,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2017,7]]}},"alternative-id":["s17071527"],"URL":"https:\/\/doi.org\/10.3390\/s17071527","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2017,6,29]]}}}