سیستم مکان‌یابی داخلی مبتنی بر Wi-Fi برای مدیریت انرژی در ساختمان‌های هوشمند

نویسندگان

دانشگاه کاشان

چکیده

ارائه خدمات ویژه به ساکنین در ساختمان‌های هوشمند به منظور بهره‌وری انرژی، مستلزم آگاهی از اطلاعات هویتی، محل سکونت و نیز مکان لحظه‌ای افراد در داخل ساختمان است. در این مقاله، به طراحی یک سیستم مکان‌یابی داخل ساختمان مبتنی بر اثرانگشت Wi-Fi تعبیه شده روی گوشی‌های هوشمند می‌پردازیم. سیستم مکان‌یابی داخل ساختمان از دو بخش برخط و برون خط تشکیل شده است. در مرحله برون‌خط، یک بستر گردآوری اطلاعات نقشه رادیویی و پردازش قدرت سیگنال‌های دریافتی معرفی می‌شود. در مرحله برخط، خوشه‌بندی لایه برخط و روش K همسایه نزدیک مبتنی بر وزن‌دهی آماری و مختصات تفاضلی ارائه می‌شود. این سیستم پیشنهادی در مقایسه با سایر سیستم‌ها دقت مکان‌یابی را بهبود می‌دهد. همچنین الگوریتم پیشنهادی از نظر پیچیدگی محاسباتی با الگوریتم‌های دیگر قابل مقایسه است. در این مقاله، ارزیابی سیستم مکان‌یابی پیشنهادی با استفاده از اطلاعات واقعی یک طبقه صورت می‌گیرد.

کلیدواژه‌ها


[1] Petersen, D., Steele, J., Wilkerson, J., "WattBot: A Residential Electricity Monitoring and Feedback System", in Proc. 27th Int. Conf. Extended Abstracts Human Factors Comput. Syst., pp. 2847–2852, 2009. [2] خداکرمی، جمال؛ قبادی، پریسا، «بهینه‌سازی مصرف انرژی در یک ساختمان اداری مجهز به سیستم مدیریت هوشمند»، نشریه مهندسی و مدیریت انرژی، جلد 6، شماره 2، صفحه 12-23، 1395. [3] Sithole, G., Zlatanova, S., "Position, Location, Place and Area: An Indoor Perspective", In Proceedings of the ISPRS Annals of Photogrammetry Remote Sensing & Spatial Information Sciences, Prague, Czech Republic, pp. 89–96, 2016. [4] Hazas, M., Friday, A., Scott, J., "Look Back Before Leaping Forward: Four Decades of Domestic Energy Inquiry", IEEE Pervasive Comput., Vol. 10, No. 1, pp. 13–19, Jan./Mar. 2011. [5] Pargfrieder, J., Jorgl, H. P., "An Integrated Control System for Optimizing the Energy Consumption and User Comfort in Buildings", in Proc. IEEE Int. Symp. Comput. Aided Control Syst. Design, pp. 127–132, Sep. 2002. [6] Dounis, A. I., Caraiscos, C., "Advanced Control Systems Engineering for Energy and Comfort Management in a Building Environment— A Review", Renew. Sustain. Energy Rev., Vol. 13, No.s 6–7, pp. 1246–1261, 2009. [7] Jones, A., "The future of EU research: The innovation Union and European Innovation Partnerships", Res. Support Blog, Univ. Lincoln, Brayford Pool, Lincoln, U.K., Tech. Rep. LN6 7TS, 2011. [8] Atzori, L., Iera, A., Morabito, G., "The Internet of Things: A Survey", Comput. Netw., Vol. 54, No. 15, pp. 2787–2805, 2010. [9] Zhang, L., Valaee, S., Zhang, L., Xu, Y., Ma, L., "Signal Propagation-Based Outlier Reduction Technique (SPORT) for Crowdsourcing in Indoor Localization Using Fingerprints", IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 2008-2013, 2015. [10] Feng, C., Valaee, S., Tan, Z., "Localization of Wireless Sensors Using Compressive Sensing for Manifold Learning", IEEE 20th International Symposium on Personal Indoor and Mobile Radio Communications, pp. 2715-2719, 2009. [11] Gu, Y., Lo, A., Niemegeers, I., "A Survey of Indoor Positioning Systems for Wireless Personal Networks", in IEEE Communications Surveys & Tutorials, Vol. 11, No. 1, pp. 13-32, First Quarter 2009. [12] Feng, C., Au, W. S. A., Valaee, S., Tan, Z., "Received-Signal-Strength Based Indoor Positioning Using Compressive Sensing", in IEEE Transactions on Mobile Computing, Vol. 11, No. 12, pp. 1983-1993, Dec. 2012. [13] Harle, R., "A Survey of Indoor Inertial Positioning Systems for Pedestrians", in IEEE Communications Surveys & Tutorials, Vol. 15, No. 3, pp. 1281-1293, Third Quarter 2013. [14] Zegeye, W. K., Amsalu, S. B., Astatke, Y., Moazzami, F., "WiFi RSS Fingerprinting Indoor Localization for Mobile Devices", IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 1-6, 2016. [15] Bahl, P., Padmanabhan, V. N., "RADAR: An In-Building RF-Based User Location and Tracking System", Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), Vol. 2, pp. 775-784, 2000. [16] Battiti, R., Thang Le, N., Villani, A., "Location Aware Computing: A Neural Network Model for Determining Location in Wireless LANs", University of Trento, 2002. [17] Ahmad, U., Gavrilov, A., Nasir, U., Iqbal, M., Cho, S. J., Lee, S., "In-Building Localization Using Neural Networks", IEEE International Conference on Engineering of Intelligent Systems, pp. 1-6, 2006. [18] Xia, S., "Indoor Fingerprint Positioning Based on Wi-Fi:An Overview", ISPRS Int, 2017. [19] Zou, H., Jin, M., Jiang, H., Xie, L., Spanos, C. J., "WinIPS: WiFi-Based Non-Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation", in IEEE Transactions on Wireless Communications, Vol. 16, No. 12, pp. 8118-8130, Dec. 2017. [20] Yen, L., Yan, C. H., Renu, S., Belay, A., Lin, H. P., Ye, Y. S., "A modified WKNN Indoor Wi-Fi Localization Method with Differential Coordinates", International Conference on Applied System Innovation (ICASI), pp. 1822-1824, 2017. [21] Kumar, R. K., Apte, V., Powar, Y. A., "Improving the Accuracy of Wireless Lan Based Location Determination Systems Using Kalman Filter and Multiple Observers", IEEE Wireless Communications and Networking Conference, pp. 463-468, 2006. [22] Khalajmehrabadi, A., Gatsis, N., Akopian, D., "Indoor WLAN Localization Using Group Sparsity Optimization Technique", IEEE/ION Position, Location and Navigation Symposium (PLANS), pp. 584-588, 2016. [23] Kushki, A., Plataniotis, K. N., Venetsanopoulos, A. N., "Kernel-Based Positioning in Wireless Local Area Networks", in IEEE Transactions on Mobile Computing, Vol. 6, No. 6, pp. 689-705, June 2007. [24] Yang, L., Chen, H., Cui, Q., Fu, X., Zhang, Y., "Probabilistic-KNN: A Novel Algorithm for Passive Indoor-Localization Scenario", IEEE 81st Vehicular Technology Conference (VTC Spring), pp. 1-5, 2015. [25] Ge, X., Qu, Z., "Optimization Wi-Fi Indoor Positioning KNN Algorithm Location-Based Fingerprint", 7th IEEE International Conference on Software Engineering and Service Science (ICSESS), pp. 135-137, 2016. [26] Gholoobi, A., Stavrou, S., "RSS Based Localization Using a New WKNN Approach", 7th International Conference on Computational Intelligence, Communication Systems and Networks, pp. 27-30, 2015. [27] Xie, Y., Wang, Y., Nallanathan, A., Wang, L., "An Improved K-Nearest-Neighbor Indoor Localization Method Based on Spearman Distance", in IEEE Signal Processing Letters, Vol. 23, No. 3, pp. 351-355, March 2016.