75dfc069-811a-46cf-8296-0a51783c2c64 beie director@blueeyesintelligence.org 10.35940/ijitee.C8375.0110321 10.1109/ACCESS.2019.2914924Y. Yue, L. Cao, J. Hu, S. Cai, B. Hang, and H. Wu, "A novel hybrid location algorithm based on chaotic particle swarm optimization for mobile position estimation," IEEE Access, vol. 7, pp. 58 541-58 552, 2019.10.1145/3191749M. Kwak, Y. Park, J. Kim, J. Han, and T. Kwon, "An energy-efficient and lightweight indoor localization system for internet-of-things (iot) environments," Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., vol. 2, no. 1, pp. 17:1-17:28, Mar. 2018. [Online]. Available: http://doi.acm.org/10.1145/319174910.1109/ICTCS.2019.8923086H. Turabieh and A. Sheta, "Cascaded layered recurrent neural network for indoor localization in wireless sensor networks," in 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS), Oct 2019, pp. 1-6.10.1155/2015/429104P. Jiang, Y. Zhang, W. Fu, H. Liu, and X. Su, "Indoor mobile localization based on wi-fi fingerprint's important access point," International Journal of Distributed Sensor Networks, vol. 11, no. 4, p. 429104, 2015. [Online]. Available: https://doi.org/10.1155/2015/42910410.1109/ICIEEIMT.2017.8116858S. R. J. Ramson and D. J. Moni, "Applications of wireless sensor networks - a survey," in 2017 International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology (ICEEIMT), Feb 2017, pp. 325-329.10.1109/JSEN.2013.2274074L. Zhang, J. Liu, H. Jiang, and Y. Guan, "Senstrack: Energy-efficient location tracking with smartphone sensors," IEEE Sensors Journal, vol. 13, no. 10, pp. 3775-3784, Oct 2013.10.1109/LCOMM.2011.121410.101379J. Koo and H. Cha, "Localizing wifi access points using signal strength," IEEE Communications Letters, vol. 15, no. 2, pp. 187-189, February 2011.10.1186/s13174-016-0048-6E. Curry, S. Dustdar, Q. Z. Sheng, and A. Sheth, "Smart cities - enabling services and applications," Journal of Internet Services and Applications, vol. 7, no. 1, p. 6, Jun 2016. [Online]. Available: https://doi.org/10.1186/s13174-016-0048-610.1007/978-3-642-27509-8_22A. Filippoupolitis and E. Gelenbe, "An emergency response system for intelligent buildings," in Sustainability in Energy and Buildings, N. M'Sirdi, A. Namaane, R. J. Howlett, and L. C. Jain, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 265-274.10.23919/EUSIPCO.2018.8553155M. Dziubany, R. Machhamer, H. Laux, A. Schmeink, K. Gollmer, G. Burger, and G. Dartmann, "Machine learning based indoor localization using a representative k-nearest-neighbor classifier on a low-cost iothardware," in 2018 26th European Signal Processing Conference (EUSIPCO), Sep. 2018, pp. 2050-2054.10.1145/2512349.2512823S. Doeweling, T. Tahiri, P. Sowinski, B. Schmidt, and M. Khalilbeigi, "Support for collaborative situation analysis and planning in crisis management teams using interactive tabletops," in Proceedings of the 2013 ACM International Conference on Interactive Tabletops and Surfaces, ser. ITS '13. New York, NY, USA: ACM, 2013, pp. 273-282. [Online]. Available: http://doi.acm.org/10.1145/2512349.251282310.1109/ISCC.2018.8538530M. Ibrahim, M. Torki, and M. ElNainay, "Cnn based indoor localization using rss time-series," in 2018 IEEE Symposium on Computers and Communications (ISCC), June 2018, pp. 01 044-01 049.10.1145/2962735.2962752S. K. Pandey and M. A. Zaveri, "Localization for collaborative processing in the internet of things framework," in Proceedings of the Second International Conference on IoT in Urban Space, ser. Urb-IoT '16. New York, NY, USA: ACM, 2016, pp. 108-110. [Online]. Available: http://doi.acm.org/10.1145/2962735.296275210.1080/00207543.2020.1720928Z. Zhao, M. Zhang, G. Xu, D. Zhang, and G. Q. Huang, "Logistics sustainability practices: an iot-enabled smart indoor parking system for industrial hazardous chemical vehicles," International Journal of Production Research, vol. 0, no. 0, pp. 1-17, 2020. [Online]. Available: https://doi.org/10.1080/00207543.2020.172092810.1145/1080810.1080820A. Rice and R. Harle, "Evaluating lateration-based positioning algorithms for fine-grained tracking," in Proceedings of the 2005 Joint Workshop on Foundations of Mobile Computing, ser. DIALM-POMC '05. New York, NY, USA: ACM, 2005, pp. 54-61. [Online]. Available: http://doi.acm.org/10.1145/1080810.108082010.1109/JIOT.2017.2782479Q. Song, S. Guo, X. Liu, and Y. Yang, "Csi amplitude fingerprinting-based nb-iot indoor localization," IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1494-1504, June 2018.10.1109/TSMC.2017.2679725Z. Wu, Q. Xu, J. Li, C. Fu, Q. Xuan, and Y. Xiang, "Passive indoor localization based on csi and naive bayes classification," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 9, pp. 1566-1577, Sep. 2018.10.1109/TVT.2018.2870160W. Sun, M. Xue, H. Yu, H. Tang, and A. Lin, "Augmentation of fingerprints for indoor wifi localization based on gaussian process regression," IEEE Transactions on Vehicular Technology, vol. 67, no. 11, pp. 10 896-10 905, Nov 2018.10.3390/electronics8020195A. Haider, Y. Wei, S. Liu, and S.-H. Hwang, "Pre- and post-processing algorithms with deep learning classifier for wi-fi fingerprint-based indoor positioning," Electronics, vol. 8, no. 2, 2019. [Online]. Available: http://www.mdpi.com/2079-9292/8/2/19510.1109/LSENS.2017.2787651Z. E. Khatab, A. Hajihoseini, and S. A. Ghorashi, "A fingerprint method for indoor localization using autoencoder based deep extreme learning machine," IEEE Sensors Letters, vol. 2, no. 1, pp. 1-4, March 2018.10.1109/TPAMI.2005.159H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information criteria of maxdependency, max-relevance, and min-redundancy," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 8, pp. 1226-1238, Aug 2005.10.1109/IPIN.2014.7275492J. Torres-Sospedra, R. Montoliu, A. Mart'ınez-Uso, J. P. Avariento, T. J. Arnau, M. Benedito-Bordonau, ' and J. Huerta, "Ujiindoorloc: A new multi-building and multi-floor database for wlan fingerprint-based indoor localization problems," in 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Oct 2014, pp. 261-270.D. Dua and C. Graff, "UCI machine learning repository," 2019. [Online]. Available: http://archive.ics.uci.edu/ml10.1109/ICUFN.2018.8436598J. Jang and S. Hong, "Indoor localization with wifi fingerprinting using convolutional neural network," in 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN), July 2018, pp. 753-758.10.1186/s41044-018-0031-2K. S. Kim, S. Lee, and K. Huang, "A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on wi-fi fingerprinting," Big Data Analytics, vol. 3, no. 1, p. 4, Apr 2018. [Online]. Available: https://doi.org/10.1186/s41044-018-0031-210.1007/978-3-319-54042-9_57M. Nowicki and J. Wietrzykowski, "Low-effort place recognition with wifi fingerprints using deep learning," in Automation 2017, R. Szewczyk, C. Zielinski, and M. Kaliczy ' nska, Eds. Cham: Springer Inter- ' national Publishing, 2017, pp. 575-584.