Optimal access point location algorithm based real measurement for indoor communication-Reference-Cited by-同舟云学术

Optimal access point location algorithm based real measurement for indoor communication

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the International Conference on Information and Communication Technology - ICICT '19
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Author:

Abdulwahid Maan M.¹,Al-Ani Oras A. Shareef¹,Mosleh Mahmood F.¹,Abd-Alhmeed Raed A.²

Affiliation:

1. Middle Technique University, Baghdad, Iraq

2. University of Bradford, Bradford, Uk

Publisher

ACM Press

Reference35 articles.

1. Pei Jiang, Yunzhou Zhang, Wenyan Fu, Huiyu Liu and Xiaolin Su. 2015. Indoor mobile localization based on Wi-Fi fingerprint's important access point. International Journal of Distributed Sensor Networks, 11(4), 429104.

2. Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. 2002. A survey on sensor networks. IEEE communications magazine, 40(8), 102-114.

3. Lev Popov. 2008. iNav: A hybrid approach to WiFi localization and tracking of mobile devices. PhD Thesis. Massachusetts Institute of Technology.

4. Jukka Talvitie. 2016. Algorithms and Methods for Received Signal Strength Based Wireless Localization. Tampereen teknillinen yliopisto. Julkaisu-Tampere University of Technology. Publication; 1365.

5. Chen Feng, Wain Sy Anthea Au, Shahrokh Valaee and Zhenhui Tan. 2012. Received-signal-strength-based indoor positioning using compressive sensing. IEEE Transactions on Mobile Computing, 11(12), 1983-1993.

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