{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T07:56:06Z","timestamp":1767772566751,"version":"3.41.0"},"reference-count":59,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2017,9,26]],"date-time":"2017-09-26T00:00:00Z","timestamp":1506384000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Labex ACTION program","award":["ANR-11-LABX-01-01"],"award-info":[{"award-number":["ANR-11-LABX-01-01"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Sen. Netw."],"published-print":{"date-parts":[[2017,11,30]]},"abstract":"<jats:p>Monitoring phenomena and environments is an emergent and required field in our today systems and applications. Hence, wireless sensor networks (WSNs) have attracted considerable attention from the research community as an efficient way to explore various kinds of environments. Sensor networks applications can be useful in different domains (terrestrial, underwater, space exploration, etc.). However, one of the major constraints in such networks is the energy consumption that increases when data transmission increases. Consequently, optimizing data transmission is one of the most significant criteria in WSNs that can conserve energy of sensors and extend network lifetime. In this article, we propose an efficient data transmission protocol that consists in two phases of data aggregation. Our proposed protocol searches, in the first phase, similarities between measures collected by each sensor. In the second phase, it uses distance-based functions to find similarity between sets of collected data. The main goal of these phases is to reduce the data transmitted from both sensors and cluster-heads (CHs) in a clustering-based scheme network. To evaluate the performance of the proposed protocol, experiments on real sensor data from both terrestrial and underwater networks have been conducted. Compared to other existing techniques, simulation and real experimentations show that our protocol can be effectively used to reduce data transmission and increase network lifetime, while still keeping data integrity of the collected data.<\/jats:p>","DOI":"10.1145\/3132682","type":"journal-article","created":{"date-parts":[[2017,9,27]],"date-time":"2017-09-27T12:33:53Z","timestamp":1506515633000},"page":"1-40","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":45,"title":["A Distance-Based Data Aggregation Technique for Periodic Sensor Networks"],"prefix":"10.1145","volume":"13","author":[{"given":"Hassan","family":"Harb","sequence":"first","affiliation":[{"name":"University of Franche-Comt\u00e9 and Lebanese University, Nabatiyeh\/Tyre, Lebanon"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdallah","family":"Makhoul","sequence":"additional","affiliation":[{"name":"University of Bourgogne Franche-Comt\u00e9,Belfort, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Laiymani","sequence":"additional","affiliation":[{"name":"University of Bourgogne Franche-Comt\u00e9, Belfort, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Jaber","sequence":"additional","affiliation":[{"name":"Lebanese University, Beirut, Lebanon"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,9,26]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"advanticsys. 2013. Retrieved from http:\/\/www.advanticsys.com\/wiki\/index.php?title&equals;SG1000.  advanticsys. 2013. Retrieved from http:\/\/www.advanticsys.com\/wiki\/index.php?title&equals;SG1000."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-wss.2013.0050"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.4171\/PM\/1881"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2011.09.009"},{"key":"e_1_2_1_5_1","unstructured":"Argo. 2000. Retrieved from http:\/\/www.argo.ucsd.edu\/index.html.  Argo. 2000. Retrieved from http:\/\/www.argo.ucsd.edu\/index.html."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2012.03.002"},{"key":"e_1_2_1_7_1","first-page":"6","article-title":"Enhancement of secure and efficient data transmission in cluster based wireless sensor networks","volume":"4","author":"Nagesh Babu V.","year":"2014","unstructured":"V. Nagesh Babu and A. Arudra . 2014 . Enhancement of secure and efficient data transmission in cluster based wireless sensor networks . Int. J. Sci. Res. Publ. 4 , 6 (June 2014), 1--6. V. Nagesh Babu and A. Arudra. 2014. Enhancement of secure and efficient data transmission in cluster based wireless sensor networks. Int. J. Sci. Res. Publ. 4, 6 (June 2014), 1--6.","journal-title":"Int. J. Sci. Res. Publ."},{"key":"e_1_2_1_8_1","volume-title":"A two tiers data aggregation scheme for periodic sensor networks. Ad Hoc Sens. Wireless Netw. 21, (1--2)","author":"Bahi Jacques","year":"2014","unstructured":"Jacques Bahi , Abdallah Makhoul , and Maguy Medlej . 2014. A two tiers data aggregation scheme for periodic sensor networks. Ad Hoc Sens. Wireless Netw. 21, (1--2) ( 2014 ), 77--100. Jacques Bahi, Abdallah Makhoul, and Maguy Medlej. 2014. A two tiers data aggregation scheme for periodic sensor networks. Ad Hoc Sens. Wireless Netw. 21, (1--2) (2014), 77--100."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.2307\/1942268"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00234-2"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.14257\/ijeic.2015.6.2.03"},{"key":"e_1_2_1_12_1","article-title":"A uniform clustering mechanism for wireless sensor networks","volume":"2014","author":"Enam Rabia Noor","year":"2014","unstructured":"Rabia Noor Enam , Rehan Qureshi , and Syed Misbahuddin . 2014 . A uniform clustering mechanism for wireless sensor networks . Int. J. Distrib. Sens. Netw. 2014 , 2014 (2014), 14 pages. Rabia Noor Enam, Rehan Qureshi, and Syed Misbahuddin. 2014. A uniform clustering mechanism for wireless sensor networks. Int. J. Distrib. Sens. Netw. 2014, 2014 (2014), 14 pages.","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2006.03.006"},{"key":"e_1_2_1_14_1","unstructured":"David Gay Philip Levis David Culler and Eric Brewer. 2009. nesC language manual. Retrieved from https:\/\/github.com\/tinyos\/nesc\/blob\/master\/doc\/ref.pdf?raw&equals;true.  David Gay Philip Levis David Culler and Eric Brewer. 2009. nesC language manual. Retrieved from https:\/\/github.com\/tinyos\/nesc\/blob\/master\/doc\/ref.pdf?raw&equals;true."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v022.i07"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ECS.2014.6892804"},{"key":"e_1_2_1_17_1","unstructured":"John Griessen. 2012. Retrieved from http:\/\/tinyos-help.10906.n7.nabble.com\/Energy-consumption-on-Telosb-td22083.html. (2012).  John Griessen. 2012. Retrieved from http:\/\/tinyos-help.10906.n7.nabble.com\/Energy-consumption-on-Telosb-td22083.html. (2012)."},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/WiMOB.2014.6962207"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-wss.2014.0068"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2014.6906406"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2011.0214"},{"key":"e_1_2_1_22_1","volume-title":"Proceedings of the Advances in RankingWorkshop (NIPS\u201909)","author":"Jurman Giuseppe","year":"2009","unstructured":"Giuseppe Jurman , Samantha Riccadonna , Roberto Visintainer , and Cesare Furlanello . 2009 . Canberra distance on ranked lists . In Proceedings of the Advances in RankingWorkshop (NIPS\u201909) . 22--27. Giuseppe Jurman, Samantha Riccadonna, Roberto Visintainer, and Cesare Furlanello. 2009. Canberra distance on ranked lists. In Proceedings of the Advances in RankingWorkshop (NIPS\u201909). 22--27."},{"key":"e_1_2_1_23_1","first-page":"2","article-title":"Experiments of distance measurements in a foliage plant retrieval system","volume":"5","author":"Kadir Abdul","year":"2012","unstructured":"Abdul Kadir , Lukito Edi Nugroho , Adhi Susanto , and Paulus Insap Santosa . 2012 . Experiments of distance measurements in a foliage plant retrieval system . Int. J. Sign. Process. Image Process. Pattern Recogn. 5 , 2 (June 2012), 47--60. Abdul Kadir, Lukito Edi Nugroho, Adhi Susanto, and Paulus Insap Santosa. 2012. Experiments of distance measurements in a foliage plant retrieval system. Int. J. Sign. Process. Image Process. Pattern Recogn. 5, 2 (June 2012), 47--60.","journal-title":"Int. J. Sign. Process. Image Process. Pattern Recogn."},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1177\/1550147716689682"},{"key":"e_1_2_1_25_1","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1049\/iet-wss.2012.0150","article-title":"Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks","volume":"4","author":"Kumar Dilip","year":"2014","unstructured":"Dilip Kumar . 2014 . Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks . IET Wirel. Sens. Syst. 4 , 1 (2014), 9 -- 16 . Dilip Kumar. 2014. Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks. IET Wirel. Sens. Syst. 4, 1 (2014), 9--16.","journal-title":"IET Wirel. Sens. Syst."},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.14257\/ijgdc.2014.7.6.04"},{"key":"e_1_2_1_27_1","first-page":"28","article-title":"MEECDA: Multihop energy efficient clustering and data aggregation protocol for HWSN","volume":"88","author":"Kumar Surender","year":"2014","unstructured":"Surender Kumar , M. Prateek , N. J. Ahuja , and Bharat Bhushan . 2014 . MEECDA: Multihop energy efficient clustering and data aggregation protocol for HWSN . Int. J. Comput. Appl. 88 , 9 (2014), 28 -- 35 . Surender Kumar, M. Prateek, N. J. Ahuja, and Bharat Bhushan. 2014. MEECDA: Multihop energy efficient clustering and data aggregation protocol for HWSN. Int. J. Comput. Appl. 88, 9 (2014), 28--35.","journal-title":"Int. J. Comput. Appl."},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2013.6583769"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/9.1.60"},{"key":"e_1_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Philip Levis and David Gay. 2009. tinyOS programming. Retrieved from http:\/\/csl.stanford.edu\/pal\/pubs\/tos-programming-web.pdf.  Philip Levis and David Gay. 2009. tinyOS programming. Retrieved from http:\/\/csl.stanford.edu\/pal\/pubs\/tos-programming-web.pdf.","DOI":"10.1017\/CBO9780511626609"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2014.011214.132319"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-015-1076-z"},{"key":"e_1_2_1_33_1","unstructured":"Samuel Madden. 2004. Intel Berkeley research lab. Retrieved from http:\/\/db.csail.mit.edu\/labdata\/labdata.html.  Samuel Madden. 2004. Intel Berkeley research lab. Retrieved from http:\/\/db.csail.mit.edu\/labdata\/labdata.html."},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.14257\/ijfgcn.2013.6.6.19"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSNIP.2013.6529794"},{"key":"e_1_2_1_36_1","volume-title":"Proceedings of the 8th International Conference on Sensing Technology. 560--567","author":"Natarajan Hemavathi","year":"2014","unstructured":"Hemavathi Natarajan and Sudha Selvaraj . 2014 . A fuzzy based predictive cluster head selection scheme for wireless sensor networks . In Proceedings of the 8th International Conference on Sensing Technology. 560--567 . Hemavathi Natarajan and Sudha Selvaraj. 2014. A fuzzy based predictive cluster head selection scheme for wireless sensor networks. In Proceedings of the 8th International Conference on Sensing Technology. 560--567."},{"key":"e_1_2_1_37_1","first-page":"1","article-title":"Design of face recognition system using principal component analysis","volume":"3","author":"Oommen Abin Abraham","year":"2014","unstructured":"Abin Abraham Oommen , C. Senthil Singh , and M. Manikandan . 2014 . Design of face recognition system using principal component analysis . Int. J. Res. Eng. Technol. 3 , 1 (March 2014), 6--10. Abin Abraham Oommen, C. Senthil Singh, and M. Manikandan. 2014. Design of face recognition system using principal component analysis. Int. J. Res. Eng. Technol. 3, 1 (March 2014), 6--10.","journal-title":"Int. J. Res. Eng. Technol."},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.25103\/jestr.073.27"},{"key":"e_1_2_1_39_1","volume-title":"Proceedings of the 9th International Conference on Wireless and Mobile Communications (ICWMC\u201913)","author":"Peach Christina","year":"2013","unstructured":"Christina Peach and Abdulrahman Yarali . 2013 . An overview of underwater sensor networks . In Proceedings of the 9th International Conference on Wireless and Mobile Communications (ICWMC\u201913) . 31--36. Christina Peach and Abdulrahman Yarali. 2013. An overview of underwater sensor networks. In Proceedings of the 9th International Conference on Wireless and Mobile Communications (ICWMC\u201913). 31--36."},{"key":"e_1_2_1_40_1","volume-title":"Design proposal of self-powered WSN node for battle field surveillance. Energy Proced. 16, Part B","author":"Qian Hanming","year":"2012","unstructured":"Hanming Qian , Ping Sun , and Yingjiao Rong . 2012. Design proposal of self-powered WSN node for battle field surveillance. Energy Proced. 16, Part B ( 2012 ), 753--757. Hanming Qian, Ping Sun, and Yingjiao Rong. 2012. Design proposal of self-powered WSN node for battle field surveillance. Energy Proced. 16, Part B (2012), 753--757."},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.5121\/ijassn.2014.4301"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2411594"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.5815\/ijitcs.2013.07.06"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.5121\/ijwmn.2012.4412"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41671-2_69"},{"key":"e_1_2_1_46_1","article-title":"Survey on data aggregation techniques for wireless sensor networks","volume":"3","author":"Tripathi Ankit","year":"2014","unstructured":"Ankit Tripathi , Sanjeev Gupta , and Bharti Chourasiya . 2014 . Survey on data aggregation techniques for wireless sensor networks . Int. J. Adv. Res. Comput. Commun. Eng. 3 , 7 (2014). Ankit Tripathi, Sanjeev Gupta, and Bharti Chourasiya. 2014. Survey on data aggregation techniques for wireless sensor networks. Int. J. Adv. Res. Comput. Commun. Eng. 3, 7 (2014).","journal-title":"Int. J. Adv. Res. Comput. Commun. Eng."},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2009.151"},{"key":"e_1_2_1_48_1","article-title":"Energy-efficient distributed compressed sensing data aggregation for cluster-based underwater acoustic sensor networks","volume":"2016","author":"Wang Deqing","year":"2016","unstructured":"Deqing Wang , Ru Xu , Xiaoyi Hu , and W. Su . 2016 . Energy-efficient distributed compressed sensing data aggregation for cluster-based underwater acoustic sensor networks . Int. J. Distrib. Sens. Netw. 2016 , 2016 (2016), 14 pages. Deqing Wang, Ru Xu, Xiaoyi Hu, and W. Su. 2016. Energy-efficient distributed compressed sensing data aggregation for cluster-based underwater acoustic sensor networks. Int. J. Distrib. Sens. Netw. 2016, 2016 (2016), 14 pages.","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"e_1_2_1_49_1","volume-title":"A study on the clustering technology of underwater isomorphic sensor networks based on energy balance. J. Sens. 2014 14, 7 (July","author":"Wang Fei","year":"2014","unstructured":"Fei Wang , Liming Wang , Yan Han , Bin Liu , Jian Wang , and Xinyan Su. 2014. A study on the clustering technology of underwater isomorphic sensor networks based on energy balance. J. Sens. 2014 14, 7 (July 2014 ), 12523--12532. Fei Wang, Liming Wang, Yan Han, Bin Liu, Jian Wang, and Xinyan Su. 2014. A study on the clustering technology of underwater isomorphic sensor networks based on energy balance. J. Sens. 2014 14, 7 (July 2014), 12523--12532."},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213847"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/829451"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1049\/cp.2012.0608"},{"key":"e_1_2_1_53_1","article-title":"An ACOA-AFSA fusion routing algorithm for underwater wireless sensor network","volume":"2012","author":"Wu Huafeng","year":"2012","unstructured":"Huafeng Wu , Xinqiang Chen , Chaojian Shi , Yingjie Xiao , and Ming Xu . 2012 . An ACOA-AFSA fusion routing algorithm for underwater wireless sensor network . Int. J. Distrib. Sens. Netw. 2012 , 2012 (2012), 9 pages. Huafeng Wu, Xinqiang Chen, Chaojian Shi, Yingjie Xiao, and Ming Xu. 2012. An ACOA-AFSA fusion routing algorithm for underwater wireless sensor network. Int. J. Distrib. Sens. Netw. 2012, 2012 (2012), 9 pages.","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CMC.2010.25"},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcm.2010.07.022"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.3390\/s150819443"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2013.2293093"},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2008.03.017"},{"key":"e_1_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.4304\/jnw.9.01.100-107"}],"container-title":["ACM Transactions on Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132682","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132682","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:10:56Z","timestamp":1750212656000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132682"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,26]]},"references-count":59,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,11,30]]}},"alternative-id":["10.1145\/3132682"],"URL":"https:\/\/doi.org\/10.1145\/3132682","relation":{},"ISSN":["1550-4859","1550-4867"],"issn-type":[{"type":"print","value":"1550-4859"},{"type":"electronic","value":"1550-4867"}],"subject":[],"published":{"date-parts":[[2017,9,26]]},"assertion":[{"value":"2015-09-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2017-08-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2017-09-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}