{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:42:57Z","timestamp":1740141777132,"version":"3.37.3"},"reference-count":20,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2014,3,1]],"date-time":"2014-03-01T00:00:00Z","timestamp":1393632000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Council of Science and Technology of Mexico"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2014,3,1]]},"abstract":"<jats:p> New applications based on wireless sensor networks (WSN), such as person-locator services, harvest a large amount of data streams that are simultaneously generated by multiple distributed sources. Specifically, in a WSN this paradigm of data generation\/transmission is known as event-streaming. In order to be useful, all the collected data must be aligned so that it can be fused at a later phase. To perform such alignment, the sensors need to agree on common temporal references. Unfortunately, this agreement is difficult to achieve mainly due to the lack of perfectly synchronized physical clocks and the asynchronous nature of the execution. Some solutions tackle the issue of the temporal alignment; however, they demand extra resources to the network deployment since they try to impose global references by using a centralized scheme. In this paper, we propose a temporal alignment model for data streams that identifies temporal relationships and which does not require the use of synchronized clocks, global references, centralized schemes, or additional synchronization signals. The identification of temporal relationships without the use of synchronized clocks is achieved by translating temporal dependencies based on a time-line to causal dependencies among streams. Finally, we show the viability and the effectiveness of the model by simulating it over a sensor network with multihop communication. <\/jats:p>","DOI":"10.1155\/2014\/938698","type":"journal-article","created":{"date-parts":[[2014,3,30]],"date-time":"2014-03-30T21:06:21Z","timestamp":1396213581000},"page":"938698","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Temporal Alignment Model for Data Streams in Wireless Sensor Networks Based on Causal Dependencies"],"prefix":"10.1177","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2096-1453","authenticated-orcid":false,"given":"Jose Roberto","family":"Perez Cruz","sequence":"first","affiliation":[{"name":"Department of Computer Science, Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), 72840 Tonantzintla, PUE, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0560-1687","authenticated-orcid":false,"given":"Saul E.","family":"Pomares Hernandez","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), 72840 Tonantzintla, PUE, Mexico"},{"name":"CNRS, LAAS, 31400 Toulouse, France"},{"name":"Universit\u00e9 de Toulouse, LAAS, 31400 Toulouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,3,30]]},"reference":[{"key":"B1-2014-938698","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2006.10.002"},{"first-page":"807","volume-title":"Proceedings of the EUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES","author":"Kshemkalyani A. D.","key":"B10-2014-938698"},{"key":"B6-2014-938698","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2005.176"},{"key":"B18-2014-938698","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2009.4912823"},{"key":"B11-2014-938698","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511805318"},{"key":"B9-2014-938698","series-title":"Artech House Information Warfare Library","volume-title":"Mathematical Techniques in Multisensor Data Fusion","author":"Hall D. L.","year":"2004"},{"first-page":"10:1","volume-title":"Proceedings of the 3rd International Conference on Scalable Information Systems (InfoScale '08)","author":"Bahi J. M.","key":"B3-2014-938698"},{"key":"B8-2014-938698","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13818-8_41"},{"key":"B4-2014-938698","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2011.02.030"},{"key":"B14-2014-938698","doi-asserted-by":"publisher","DOI":"10.1109\/RTCSA.2007.27"},{"issue":"5","key":"B20-2014-938698","first-page":"33","volume":"3","author":"Pomares Hernandez S. E.","year":"2008","journal-title":"Journal of Multimedia"},{"key":"B17-2014-938698","doi-asserted-by":"publisher","DOI":"10.3837\/tiis.2012.01.013"},{"key":"B12-2014-938698","doi-asserted-by":"publisher","DOI":"10.1145\/359545.359563"},{"key":"B19-2014-938698","doi-asserted-by":"publisher","DOI":"10.1142\/9789812794727_0003"},{"first-page":"303","volume-title":"Proceedings of the International Conference on Computer Networks and Mobile Computing (ICCNMC '01)","author":"Shimamura K.","key":"B21-2014-938698"},{"key":"B13-2014-938698","doi-asserted-by":"publisher","DOI":"10.1007\/BF01786227"},{"key":"B2-2014-938698","doi-asserted-by":"publisher","DOI":"10.1145\/182.358434"},{"key":"B15-2014-938698","series-title":"National Conference on Artificial Intelligence","volume-title":"A System for Reasoning about Time","author":"Vilain M. B.","year":"2013","edition":"2"},{"first-page":"215","volume-title":"Proceedings of the International Workshop on Parallel and Distributed Algorithms","author":"Mattern F.","key":"B16-2014-938698"},{"first-page":"56","volume-title":"Proceedings of the 11th Australian Computer Science Conference (ACSC '88)","author":"Fidge C. J.","key":"B7-2014-938698"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2014\/938698","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1155\/2014\/938698","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2014\/938698","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,16]],"date-time":"2021-05-16T16:31:49Z","timestamp":1621182709000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1155\/2014\/938698"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,1]]},"references-count":20,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2014,3,1]]}},"alternative-id":["10.1155\/2014\/938698"],"URL":"https:\/\/doi.org\/10.1155\/2014\/938698","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2014,3,1]]}}}