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研究生:王健豪
研究生(外文):Chien-Hao Wang
論文名稱:物聯網技術於智慧領域之應用 – 以農業與廣域電網為例
論文名稱(外文):Internet of Things Applications for Smart Areas: Case Studies in Agriculture and Wide-area Power Grids
指導教授:江昭皚江昭皚引用關係
口試委員:陳中和李建興蕭瑛東王永鐘艾群黃振康
口試日期:2017-06-19
學位類別:博士
校院名稱:國立臺灣大學
系所名稱:生物產業機電工程學研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:英文
論文頁數:122
中文關鍵詞:物聯網無線感測器網路智慧農業智慧電網超高電壓安全性監測系統
外文關鍵詞:Internet of thingwireless sensor networksmart agriculturesmart gridsextra-high voltagesafety monitoring system
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物聯網是由感測、網路和應用層等關鍵要素組成的網絡架構。讓裝置進行的感測、控制等行為,並透過網路與閘道器或其他裝置進行資料傳遞,藉以直接或間接創造價值。網路層則是主要實現資訊的傳遞、路由和控制。應用層為物聯網應用提供資訊處理、計算等基礎服務,以此實現物聯網在眾多領域的各種應用。現階段的應用主要以家用之智慧家庭、工業的智慧製造與公共建設的智慧城市,為研究人員與廠商投入開發的領域。然而,物聯網之應用應不該只侷限於此幾個大領域中。有鑑於此,透過前瞻物聯網技術應用於不同領域之研究,並研擬出一套完整的解決方案,有其必要性。為滿足上述需求,本研究於第三章提出一套無線感測器網路為基礎之蘭園監控系統,透過所設計的動態路由演算法,藉以提高整體網路的回傳率,且自動監測蘭花溫室的環境參數,並透過所得到之資料進行蘭花溫室之環境場重建,藉以找出蘭花溫室的環境熱點分布區,並建議業者可以進行改善,透過此研究證實物聯網應用於智慧農業之可行性。第四章則利用物聯網技術於超高壓輸電線路安全性監測系統,以建構一智慧電網之應用。在這項研究中,提出了一種基於物聯網的超高壓電網安全監測系統,此監測系統包含三個主要部分,由超高壓輸電線監測模組所組成的前端無線感測器網路、由閘道器組成的骨幹通信網絡,以及超高壓輸電網之智能管理雲端服務。為了驗證所提出的超高壓輸電線安全性監測系統的功能,本研究亦於實際的超高壓環境中進行了許多實驗。上述之智慧農業與智慧電網案例皆透過完整的電腦模擬與實際測試來進行效能評估,實驗結果顯示本文所提之兩個案例皆能夠提供一完整方案,且具有實際應用之價值。
Internet of Things (IoTs) is network architecture consisting of a number of key elements such as sensing, network and application layers. Devices can perform sensing, control and other activities, and can communicate with a gateway or other devices for data transmission through the internet. The main mission of the network layer is information transmission, routing and control. Application layer provides information processing, computing and other basic services to achieve the goal of the Internet of things with a variety of applications. Recently, the applications of IoTs mainly focus on smart home, smart industrial manufacturing and public construction of the smart city, and researchers and manufacturers have pay attention to the development of the applications. The application of the IoTs, however, should not be confined to these areas. In view of this, it is necessary to develop a total solution for different areas of research with the IoTs technology.
In order to meet the requirements described above, in Chapter III, a wireless sensor network-based monitoring system with a dynamic convergecast tree algorithm for precision cultivation management in orchid greenhouses is present. The data delivery rate could be improved by using the proposed algorithm and the system could automatically monitor the environmental parameters of an orchid greenhouse. Moreover, the distributions of the environmental parameters could be reconstructed with the sensor data to find the hotspot in the greenhouse, and provide important monitoring information to the industry to improve greenhouse practices.
Internet of things-based applications designed for smart grids are discussed in Chapter IV. In this chapter, an Internet of things-based grid-wide safety monitoring (SM) system for extra-high voltage (EHV) power grids is proposed. The proposed SM system includes three major parts: a front-end wireless sensor network consisting of EHV sensor modules, a backbone communication network comprising gateways, and a smart management service cloud for EHV power grids. To verify the functionalities of the proposed SM system, a number of experiments were conducted in an actual EHV environment.
Both the presented cases of smart agriculture and smart grid are evaluated via computer simulation and real world tests. The experimental results show that the two proposed cases can provide a total solution in that area.
Acknowledgements (Chinese) ii
Abstract (Chinese) iii
Abstract iv
List of Illustrations ix
List of Tables xiii
Chapter I Introduction 1
1.1 Background 1
1.2 Motivations 3
1.3 Research contributions 4
1.4 Organization of the dissertation 5
Chapter II Internet of things (IoTs) technology 7
2.1 Overview 7
2.2 The Architecture of an IoTs 9
2.2.1 Sensing layer 11
2.2.2 Network layer 12
2.2.3 Application layer 14
2.3 Challenges and future prospects 16
Chapter III Case study in smart agriculture - A Wireless Sensor Network-based Monitoring System with Dynamic Convergecast Tree Algorithm for Precision Cultivation Management in Orchid Greenhouses 24
3.1 Overview 24
3.2 Design of WSN-based Monitoring System 29
3.2.1 Architecture of the monitoring system 29
3.2.2 Components of the monitoring system 31
3.2.3 Dynamic convergecast tree algorithm 35
3.2.4 Contour map construction method — Kriging spatial interpolation 47
3.3 Experimental procedures conducted in an automatically controlled orchid greenhouse 48
3.4 Experimental results and discussion 49
3.4.1 Experimental results in the automatically controlled orchid greenhouse 50
3.4.2 The contour map construction of environmental factors in the greenhouse 54
Chapter IV Case study in smart grid - An Internet of Things-Based Grid-Wide Safety Monitoring System for EHV Power Grids 57
4.1 Overview 57
4.2 Design of Safety Monitoring System 61
4.2.1 Extra High Voltage Sensor Module 62
4.2.2 Gateway 69
4.2.3 Smart management service (SMS) cloud 73
4.3 Sensor reading calibration 82
4.4 Communication test of the SM system in EHV laboratory environment 92
4.4.1 High voltage laboratory environment 92
4.4.2 High current laboratory environment 96
4.4.3 Lighting Surge laboratory environment 98
4.5 Communication test of gateways in wild field 99
4.6 Data visualization (DV) platform 101
Chapter V Conclusions and future works 103
References 107
Abdrabou A. 2016. A Wireless Communication Architecture for Smart Grid Distribution Networks. IEEE Systems Journal 10(1): 251-261.
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. 2002. Wireless sensor networks: a survey. Computer Networks 38(4): 393–422.
Albizu, I., Fernandez, E., Mazon, A. J., and Bengoechea, J. 2010. Influence of the conductor temperature error on the overhead line ampacity monitoring systems. IET Gener. Transm. Distrib. 5(4): 440-447.
Al-Karaki, J.N., & Kamal, A.E. 2004. Routing techniques in wireless sensor networks: a survey. IEEE Wireless Communications Magazine 11(6): 6–28.
Anisi, M. H., Abdul-Salaam, G., & Abdullah, A. H. 2014. A survey of wireless sensor network approaches and their energy consumption for monitoring farm fields in precision agriculture. Precision Agriculture 16(2): 216-238.
Ashton, K. 2009. That ‘internet of things’ thing. RFiD Journal 22(7): 97-114.
Atmel Corporation. 2015. ATmega48A/PA/88A/PA/168A/PA/328/P Complete, ATmega328 datasheet.
AttoPilot International LLC. 2011. Compact DC Voltage and Current Sense PCB with Analog Output. Voltage and Current Sense Breakout - 90A datasheet.
Atzori, L., Iera, A., & Morabito, G. 2010. The internet of things: A survey. Computer networks 54(15): 2787-2805.
Avendano-Mora, M., and Milanovic, J. V. 2013. Monitor Placement for Reliable Estimation of Voltage Sags in Power Networks. IEEE Trans. Power Delivery 27(2): 936-944.
Bag, G., Majumder, R., & Kim, K. H. 2010. Low cost wireless sensor network in distributed generation. In: Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on. IEEE: 279-284.
BeagleBoard.org. 2016. BeagleBoard-xM System Reference Manual. BeagleBoard-xM datasheet.
Bhatti, S., Xu, J., & Memon, M. 2011. Clustering and fault tolerance for target tracking using wireless sensor networks. IET wireless sensor systems 1(2): 66-73.
Bi, S., Ho, C., and Zhang, R. 2015. Wireless powered communication: opportunities and challenges. IEEE Commuications Magazine 53(4): 117-125.
Borges, L. M., Velez, F. J., & Lebres, A. S. 2014. Survey on the characterization and classification of wireless sensor network applications. IEEE Communications Surveys & Tutorials 16(4): 1860-1890.
Bose, A. 2010. Smart Transmission Grid Applications and Their Supporting Infrastructure. IEEE Trans. Smart Grid 1(1): 11-19.
Britt, J. 2000. The status of the commercial production of potted orchid around the world. HortTechnology 10(3): 435–436.
Cao, X., Chen, J., Xiao, Y., & Sun, Y. 2010. Building-environment control with wireless sensor and actuator networks: Centralized versus distributed. IEEE Transactions on Industrial Electronics 57(11): 3596-3605.
Carlson, J. D., Mittek, M., & Pérez, L. C. 2013. Exploring the Microsoft .NET micro framework for prototyping applied wireless sensor networks. In: Proceedings of 2013 IEEE International Conference on Electro/Information Technology (EIT2013): 1–6.
Chang, Y. C., Wan, J. J., Chen, C. P., Chuang, C. L., Chen, H. Y., Tseng, C. L. & Jiang J. A. 2013. A smart WSN gateway with automatic data backup mechanism for large-scale monitoring in greenhouse. 2013 EFITA Conference ― Sustainable Agriculture through ICT Innovation (EFITA2013), Turin, Italy, paper ID: C0160. http://www.cigr.org/Proceedings/uploads/2013/0160.pdf. Accessed 20 March, 2016.
Cha-um, S., Ulziibat, B., & Kirdmanee, C. 2010. Effects of temperature and relative humidity during in vitro acclimatization, on physiological changes and growth characters of Phalaenopsis adapted to in vivo. Australian Journal of Crop Science 4(9): 750–756.
Council of Agriculture, Taiwan, http://www.coa.gov.tw/view.php?catid=2502808. Accessed: Oct. 25, 2014.
Da Xu, L., He, W., & Li, S. 2014. Internet of things in industries: A survey. IEEE Transactions on industrial informatics 10(4): 2233-2243.
Demirbas, M., Arora, A., Mittal, V., & Kulathumani, V. 2006. A fault-local self-stabilizing clustering service for wireless ad hoc networks. IEEE Transactions on Parallel and Distributed Systems 17(9): 912–922.
Deutsch, C. V. and Journel, A. G. 1997. GSLIB: Geostatistical Software Library and User’s Guide, 384, New York, NY, USA: Oxford Univ. Press.
Dhage, S. V., Thakare, A. N., & Mohod, S. W. 2015. An improved method for scalability issue in wireless sensor networks. In: Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on. IEEE: 1-6.
Digi International Inc. 2009. XBee/XBee‐PRO RF Modules ‐ 802.15.4, XBee datasheet.
Dobkin, D. M., & Aboussouan, B. 2009. Low power Wi-Fi™(IEEE802. 11) for IPsmart objects. GainSpan Corporation.
Drogue, G., Humbert, J., Deraisme, J., Mahr, N., & Freslon, N. 2002. A statistical-topographic model using an omnidirectional parameterization of the relief for mapping orographic rainfall. International Journal of Climatology. 22: 599–613.
Du, L., Wang, C., Li, X., Yang, L., Mi, Y., and Sun, C. 2010. A Novel Power Supply of Online Monitoring Systems for Power Transmission Lines. IEEE Trans. Ind. Electron. 57(8): 2889-2895.
Elsersy, M., & Fattouche, M. 2010. A rate-based scheme for minimizing the cost of wireless sensor networks. In: Computer Engineering Conference (ICENCO): 77-80.
ExxonMobil. 2015. The outlook for energy: A view to 2040, http://cdn.exxonmobil.com/~/media/global/files/outlook-for-energy/2015-outlook-for-energy_print-resolution.pdf, accessed on 2016/4/25.
Fang, X., Misra, S., Xue, G., and Yang D. 2012. Smart Grid — The New and Improved Power Grid: A Survey. IEEE Communications Surveys & Tutorials 14(4): 944-980.
Friess, P. 2013. Internet of things: converging technologies for smart environments and integrated ecosystems. River Publishers.
García-Hernández, C. F., Ibargüengoytia-González, P. H., GarcíaHernández, J., & Pérez-Díaz, J. A. 2007. Wireless sensor networks and applications: a survey. International Journal of Computer Science and Network Security 7(3): 264–273.
Griesbach, R. J. 2000. Potted phalaenopsis orchid production: History, present status, and challenges for the future. HortTechnology 10(3): 429.
Gungor, V. C., Lu, B., and Hanckeand, G. P. 2010. Opportunities and Challenges of Wireless Sensor Networks in Smart Grid. IEEE Trans. Industrial Electronics 57(10): 3557 - 3564.
Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., Hancke, G. P. 2013. A survey on smart grid potential applications and communication requirements. IEEE Transactions on Industrial Informatics 9(1): 28-42
Ho, Q. D., Gao, Y., and Le-Ngoc, T. 2013. Challenges and research opportunities in wireless communication networks for smart grid. IEEE Wireless Communications 20(3): 89-95.
Hsu, B. D. 2007. On the possibility of using a chlorophyll fluorescence parameter as an indirect indicator for the growth of Phalaenopsis seedlings. Plant Science 172(3): 604–608.
Hwang, J., Shin, C., & Yoe, H. 2010. A Wireless Sensor Network-Based Ubiquitous Paprika Growth Management System. Sensors 10(12): 11566–11589.
IEEE Std. 738-2006 (Revision of IEEE Std 738-1993). 2007: IEEE Standard For Calculating The Current-Temperature of Bare Overhead Conductors.
Jeon, J. H., Byun, H. J., & Lim, J. T. 2013. Joint contention and sleep control for lifetime maximization in wireless sensor networks. IEEE Communications Letters 17(2): 269-272.
Jiang, J. A., Lin, T. S., Yang, E. C., Tseng, C. L., Chen C. P., Yen, C. W., et al. 2013. Application of a web-based remote agro-ecological monitoring system for observing spatial distribution and dynamics of Bactrocera dorsalis in fruit orchards. Precision Agriculture 14(3): 323–342.
Jiang, J. A., Wang, C. H., Chen, C. H., Liao, M. S., Su, Y. L., Chen, W. S., et al. 2016. A WSN-based automatic monitoring system for the foraging behavior of honey bees and environmental factors of beehives. Computers and Electronics in Agriculture, 123: 304-318.
Jiang, J. A., Zheng, X. Y., Chen, Y. F., Wang, C. H., Chuang, C. L., & Chen, C. P. 2013. A distributed RSS-Based localization using a dynamic circle expanding mechanism. IEEE Sensors Journal 13(10): 3754–3766.
Jiang, J.A., Chuang, C.L., Chen, C.P., Lin, T.S., Tseng, C.L., and Yang, E.C. 2008. A Topology Generator and Evolutionary Routing Algorithm for Random Deployment of Wireless Sensor Networks. In: Proc. of The 2008 International Conference on Wireless Networks (ICWN''08): 698−703.
Jiang, J.A., Lin, T.S., Chuang, C.L., Chen, C.P., Sun, C.H., Juang, J.Y., Lin, J.C., and Liang, W.W. 2011. A QoS- Guaranteed Coverage Precedence Routing Algorithm for Wireless Sensor Networks. Sensors 11(4): 3418−3438.
Jiang, J.A., Wan, J.J., Zheng, X.Y., Chen, C.P., Huang, W.C., and Lee, C.H. 2016. A Novel Weather Information-Based Optimization Algorithm for Thermal Sensor Placement in Smart Grid. IEEE Transactions Smart Grid, manuscript ID: TSG-00580-2015R2, Accpted: 2016/5/16. (DOI 10.1109/TSG.2016.2571220))
Jiang, Joe-Air, Liang, Yu-Ting, Chen, Chia-Pang, Zheng, Xiang-Yao, Chuang, Cheng-Long, and Wang, Chien-Hao. 2016. On Dispatching Line Ampacities of Power Grids Using Weather-Based Conductor Temperature Forecasts. IEEE Transactions Smart Grid, manuscript ID: TSG-01283-2015, Accepted: 2016/4/4. (doi: 10.1109/TSG.2016.2553964)
JordA, C. E. P., Asare-Bediako, B., Vanalme, G. M. A., & Kling, W. L. 2011. Overview and comparison of leading communication standard technologies for smart home area networks enabling energy management systems. In: Universities'' Power Engineering Conference (UPEC): 1-6.
Jung, S. M., Kim, N. U., & Chung, T. M. 2012. The clusterhead chaining scheme considering scalability of the wireless sensor networks. In: Information Networking (ICOIN): 497-500.
Klünder, C. and Haseborg, J. L. 2010. Effects of high-power and transient disturbances on wireless communication systems operating inside the 2.4 GHz ISM band. In Proc. IEEE Int. Symp. Electromagn. Compat.: 359–363.
Kong, P.Y., Liu, C.W., and Jiang, J.A. 2016. Cost efficient placement of communication connections for transmission line monitoring with QoS and robustness requirements. submitted to IEEE Transactions on Industrial Electronics, manuscript No. 16-TIE-1167, submission date: 2015/12/14. 2016/9/2: revision.
Lai, T. Y., Chen, C. P., Liu, J. H., Wang, J. Y., & Jiang, J. A. 2012. A novel dynamic convergecast tree generator for WSN-based environment surveillance of orchid plantation. In: Proceedings of 2012 IEEE 14th International Conference on High Performance Computing and Communication (HPCC 2012): 1629–1633.
Li, F., Qiao, W., Sun, H., Wan, H., Wang, J., Xia, Y., Xu, Z., and Zhang, P. 2010. Smart Transmission Grid: Vision and Framework. IEEE Trans. Smart Grid 1(2): 168-177.
Li, L., Xiaoguang, H., Ke, C., & Ketai, H. 2011. The applications of wifi-based wireless sensor network in internet of things and smart grid. In: Industrial Electronics and Applications (ICIEA): 789-793.
Liang, Chengchao, and Yu, F. R. 2015. Wireless Network Virtualization: A Survey, Some Research Issues and Challenges. IEEE Communications Surveys & Tutorials 17(1): 358-380.
Liang, Q., Cheng, X., Huang, S. C., & Chen, D. 2014. Opportunistic sensing in wireless sensor networks: theory and application. IEEE Transactions on Computers 63(8): 2002-2010.
Liu, C. Y., Zheng, X. Y., Wang, C. H., Syue, C. H., Tseng, C. Y., Lee, Y. C., Jiang, J. A. & Chou, F. C. 2015. A novel embedded system-based backbone communication network for smart grid. In Sensing Technology (ICST): 474-481.
Liu, L., Hu, B., & Li, L. 2010. Energy conservation algorithms for maintaining coverage and connectivity in wireless sensor networks. IET communications 4(7): 786-800.
Liu, T. F. 2012. Factors Affecting Blossom Quality of Phalaenopsis after Flower Bud Differentiation. Fujian Journal of Agricultural Sciences 27(9): 999–1003.
Luis, R. G., Loredana, L., Pilar, B., & Ignacio, R. 2009. A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends. Sensors 9(6): 4728–4750.
Madakam, S., Ramaswamy, R., & Tripathi, S. 2015. Internet of Things (IoTs): A literature review. Journal of Computer and Communications 3(5): 164.
Matus, M., Saez, D., Favley, M., Suazo-Martinez, C., Moya, J., Jimenez-Estevez G., Palma-Behnke, R., Olguin, G., and Jorquera, P. 2013. Identification of Critical Spans for Monitoring Systems in Dynamic Thermal Rating. IEEE Trans. Power Delivery 27(2): 1002-1009.
Melexis Semiconductors. 2013. MLX90614 family. MLX90614 datasheet.
Mosleh, K., and Kumar, R. 2010. A Reliability Perspective of the Smart Grid. In Proc. IEEE Trans. Smart Grid: 1(1): 57-64.
Moxa Inc. 2014. AWK 6222-series. AWK 6222 datasheet.
NCAR Command Language website: https://www.ncl.ucar.edu/, available at Oct. 16, 2016.
Payne, T. R., & Eichelberger, C. E. 1989. Commutated relay switching system. IEEE Transactions on Industry Applications 25(4): 669-674
Runkle, E.S. 2007. Innovative production systems for ornamental potted plants: a case study for Phalaenopsis orchids. In: Proceedings of International Conference on Quality Management in Supply Chains of Ornamentals (ISHS Acta Horticulturae 755): 55–60.
Safdarian, A., Degefa, M. Z., Fotuhi-Firuzabad, M., and Lehtonen, M. 2015. Benefits of Real-Time Monitoring to Distribution Systems: Dynamic Thermal Rating. IEEE Trans. Smart Grid 6(4): 2023 - 2031.
Sallabi, A.M., Gaouda, A., El-Hag, and Salama, M. M. A. 2014. Evaluation of ZigBee Wireless Sensor Networks Under High Power Disturbances. IEEE Trans. Power Delivery 29(1): 13-20
Sallabi, F. M., Gaouda, A. M., El-Hag, A., and Salama, M. M. A. 2014 Evaluation of ZigBee Wireless Sensor Networks Under High Power Disturbances. IEEE Trans. Power Delivery 29(1): 13-20.
Salleh, A., Ismail, M. K., Mohamad, N. R., A Abd Aziz, M. Z., Othman, M. A., & Misran, M. H. 2013. Development of greenhouse monitoring using wireless sensor network through ZigBee technology. International Journal of Engineering Science Invention 2(7): 6–12.
Shaker, H., Zareipour, H., and Fotuhi-Firuzabad, M. 2013. Reliability Modeling of Dynamic Thermal Rating. IEEE Trans. Power Delivery 28(3): 1600-1609.
Shin, K. S., Murthy, H. N., Heo, J. W., Hahn, E. J., & Paek, K. Y. 2008. The effect of light quality on the growth and development of in vitro cultured Doritaenopsis plants. Acta Physiologiae Plantarum 30(3): 339–343.
Shrestha, B., Choi, K. W., & Hossain, E. 2013. A dynamic time slot allocation scheme for hybrid CSMA/TDMA MAC protocol. IEEE Wireless Communications Letters 2(5): 535–538.
Stancato, C. G., Mazzafera, P., & Buckeridge, S. M. 2002. Effects of light stress on the growth of the epiphytic orchid Cattleya forbesii Lindl. X Laelia tenebrosa Rolfe. Brazilian Journal of Botany 25(2): 229–235.
Suk, J., Kim, S., & Ryoo, I. 2011. Non-contact plant growth measurement method and system based on ubiquitous sensor network technologies. Sensors 11(4): 4312–4334.
Taipower Company. 2016. Power transmission system guideline. Available: http://www.taipower.com.tw/UpFile/UHVFile/台電規劃準則1020401.pdf. Access: 11/2/2016
TENMARS ELECTRONICS CO., LTD. 2016. TM-363N_ K type Thermometer. TM-363N spec. [Online]. Avaible: http://www.tenmars.com/webls-en-us/TM-363N.html. [Accessed: Mar. 15, 2016].
Wang, C. H., Chen, C. H., Zheng, X. Y., Chen, C. P., Chuang, C. L., & Jiang J. A. 2013. An agricultural-cloud based greenhouse monitoring system. 2013 EFITA Conference ― Sustainable Agriculture through ICT Innovation (EFITA2013), Turin, Italy, paper ID: C0161. http://www.cigr.org/Proceedings/uploads/2013/0161.pdf. Accessed 20 March, 2016.
Wang, Y. T., & Hsu, T. Y. 1994. Flowering and Growth of Phalaenopsis Orchids following Growth Retardant Applications. HortScience 29(4): 285–288.
Website of Central Weather Bureau of Taiwan [Online]. Available: http://www.cwb.gov.tw/eng/index.htm
Xie, Y., Koch, S., McGinley, J., Albers, S., Bieringer, P.E., Wolfson, M., and Chan, M. 2011. A Space–Time Multiscale Analysis System: A Sequential Variational Analysis Approach. Mon. Wea. Rev. 139(4): 1224–1240.
Yang, J. S., Wang, Q., & Augus, P. V. 2004. Estimation of Land Surface Temperature Using Spatial Interpolation and Satellite-Derived Surface Emissivity. Journal of Environmental Informatics 4(1): 37–44.
Ye, W., Heidemann, J., & Estrin, D. 2004. Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networking (ToN) 12(3): 493-506.
Yigit, M., Gungor, V. C., Tuna, G., Rangoussi, M., Fadel, E. 2014. Power line communication technologies for smart grid applications: A review of advances and challenges. Computer Networks 70(9): 366-383.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. 2014. Internet of things for smart cities. IEEE Internet of Things journal 1(1): 22-32.
Zhang, P., Li, F., and Bhatt, N. 2010. Next-Generation Monitoring, Analysis, and Control for the Future Smart Control Center. IEEE Trans. Smart Grid 1(2): 186-192.
Zhang, Z.S., Xiao, D. M., and Li, Y. 2009. Rogowski Air Coil Sensor Technique For On-Line Partial Discharge Measurement Of Power Cables. IET Sci. Meas. Technol. 3(3): 187-196.
Zheng, X. Y., Huang, Y. K., Lee, C. Y., Chen, C. P., Chuang, C. L., Shieh, J. C. & Jiang J. A. 2013. A novel automatic ICT system for orchid greenhouse monitoring. 2013 EFITA Conference ― Sustainable Agriculture through ICT Innovation (EFITA2013), Turin, Italy, paper ID: C0150. http://www.cigr.org/Proceedings/uploads/2013/0150.pdf. Accessed 20 March, 2016.
Zhu, Z., Lambotharan, S., Chin, W. H., and Fan, Z. 2012. Overview of demand management in smart grid and enabling wireless communication technologies. IEEE Wireless Communications 19(3): 48-56.
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