Journal of Shanghai Jiao Tong University (Science) ›› 2018, Vol. 23 ›› Issue (4): 577-.doi: 10.1007/s12204-018-1959-0
LI Shuoming (李硕明), CHEN Lei (陈磊), CHEN Shihong (陈世鸿)
发布日期:
2018-08-02
通讯作者:
CHEN Shihong (陈世鸿)
E-mail:53131128@qq.com
LI Shuoming (李硕明), CHEN Lei (陈磊), CHEN Shihong (陈世鸿)
Published:
2018-08-02
Contact:
CHEN Shihong (陈世鸿)
E-mail:53131128@qq.com
摘要: In order to realize high precision of environment parameters detection in irrigation applications, a sensor and sensor network (SSN) ontology based data fusion method is proposed. An SSN sub-ontology for soilstate monitoring is revised, which includes the sensing devices hierarchies and measurement properties selection according to the detection feature interests. As for sensor data processing, a tuning data method by data pool filtering and clustering is adopted, as well as a useful data fusion method for multi-sensor system. The testing results show that both the accuracy and efficiency of the proposed method are higher after related filtering and clustering process, which enables a thorough monitoring for intelligent irrigation systems and can be extended into environment monitoring and control applications.
中图分类号:
LI Shuoming (李硕明), CHEN Lei (陈磊), CHEN Shihong (陈世鸿). An SNN Ontology Based Environment Monitoring Method for Intelligent Irrigation System[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(4): 577-.
LI Shuoming (李硕明), CHEN Lei (陈磊), CHEN Shihong (陈世鸿). An SNN Ontology Based Environment Monitoring Method for Intelligent Irrigation System[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(4): 577-.
[1] WANG M, PERERA C, JAYARAMAN P P, et al.City data fusion: Sensor data fusion in the Internet ofThings [J]. International Journal of Distributed Systems& Technologies, 2016, 7(1): 15-36. [2] TR¨ANKLER H, KANOUN O. Improvement of sensoryinformation using multi-sensor and model-basedsensor systems [C]//Proceedings of the IEEE Instrumentationand Measurement Technology Conference.Ottawa, Canada??IEEE, 2006: 2259-2263. [3] GUTIERREZ J, VILLA-MEDINA J, NIETOGARIBAYA, et al. Automated irrigation systemusing a wireless sensor network and GPRS module[J]. IEEE Transactions on Instrumentation &Measurement, 2013, 63(1): 166-176. [4] YUE R, YING T. A novel water quality monitoringsystem based on solar power supply & wireless sensornetwork [J]. Procedia Environmental Sciences, 2012,12: 265-272. [5] PATHAN S A, HATE S G. Automated irrigation systemusing wireless sensor network [J]. InternationalJournal of Engineering & Technical Research, 2016,5(6): 6-9. [6] VALVERDE J, ROSELLO V, MUJICA G, et al.Wirelesssensor network for environmental monitoring: applicationin a coffee factory [J]. International Journalof Distributed Sensor Networks, 2012(3): 1-18. [7] MAK NH, SEAH W K G. How long is the lifetime of awireless sensor network? [C]// International Conferenceon Advanced Information Networking and Applications.Bradford, UK: IEEE, 2009: 763-770. [8] CHAO C H, LI I H, YANG C Y, et al. An efficientdiversity-driven selective forwarding approach forreplicated data queries in wireless sensor networks [J].Journal of Systems Architecture, 2011, 57(9): 830-839. [9] KANSAL A, HSU J, ZAHEDI S, et al. Power managementin energy harvesting sensor networks [J]. ACMTransactions on Embedded Computing Systems, 2007,6(4): 1-38. [10] TAYLOR K, LEIDINGER L. Ontology-driven complexevent processing in heterogeneous sensor networks[C]//Proceedings of the 8th Extended Semantic WebConference on the Semantic Web: Research and Applications.Heraklion, Greece: Springer-Verlag, 2011:285-299. [11] COMPTON, HENSON C, LEFORT L, et al. Asurvey of the semantic specification of sensors[C]//Proceedings of 2nd International Semantic SensorNetworks Workshop. Aachen, Germany: CEURWS.org, 2009, 17-32. [12] STASCH C, JANOWICZ K, BR¨ORING A, et al. Astimulus-centric algebraic approach to sensors and observations[C]//Proceedings of the 3rd InternationalConference on GeoSensor Networks. Oxford, UK:Springer-Verlag, 2009: 169-179. [13] ZHOU J, The research of theory and key technologyfor information fusion in the Internet of Things [D].Jilin: Jilin University, 2014 (in Chinese). [14] COMPTON M. What now and where next for theW3C semantic sensor networks incubator group sensorontology [C]//Proceedings of the 4th InternationalConference on Semantic Sensor Networks. Bonn, Germany:CEUR-WS.org, 2011, 839: 1-8. [15] COMPTON M, BARNAGHI P, BERMUDEZ L, et al.The SSN ontology of theW3C semantic sensor networkincubator group [J]. Web Semantics: Science, Servicesand Agents on the World Wide Web, 2012, 17: 25-32. [16] MINET J, LAMBOT S, DELAIDE G, et al. A generalizedfrequency domain reflectometry modeling techniquefor soil electrical properties determination [J].Vadose Zone Journal, 2010, 9(4): 1063-1072. [17] UMENYIORA C A, DRUCE R L, CURRY R D, etal. Dielectric constant of sand using TDR and FDRmeasurements and prediction models [J].IEEE Transactionson Plasma Science, 2012, 40(10): 2408-2415. [18] SHIGA M, TAKIGAWA I, MAMITSUKA H. Aspectral clustering approach to optimally combiningnumerical vectors with a modular network[C]//Proceedings of the 13th International Conferenceon Knowledge Discovery and Data Mining. CA, USA:ACM, 2007: 647-656. [19] ZHA H, HE X, DING C, et al. Spectral relaxation forK-means clustering [C]//Proceedings of the 14th InternationalConference on Neural Information. Vancouver,Canada: MIT Press, 2001: 1057-1064. [20] SUN Y, HAN J. Mining heterogeneous informationnetworks: A structural analysis approach [J]. ACMSIGKDD Explorations Newsletter, 2012, 14(2): 20-28. [21] BAGHAPOUR M A, NASSERI S, DJAHED B. Evaluationof Shiraz wastewater treatment plant effluentquality for agricultural irrigation by Canadian WaterQuality Index (CWQI) [J]. Iranian Journal of EnvironmentalHealth Science & Engineering, 2013, 10(1):1-9. |
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