Volume 9, Issue 2 (7-2019)                   JEM 2019, 9(2): 64-73 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Zoghi M R. An Indoor Positioning System Based on Wi-Fi for Energy Management in Smart Buildings . JEM. 2019; 9 (2) :64-73
URL: http://energy.kashanu.ac.ir/article-1-1133-en.html
To offer indoor services to occupants in the context of smart buildings, one can’t help considering information concerning the identity and location of the occupants. This paper proposes an indoor positioning system (IPS) based on Wi-Fi fingerprint and K-nearest neighbors (KNN) methods. The positioning of a mobile device (MD) using Wi-Fi technology involves online and offline phases. In this paper, the offline phase includes data collection in WiFi-based Nonintrusive SMS (WinSMS) context while the online phase involves updating the structure of the collected radio map and online positioning. In online positioning, the proposed Weighted Differential Coordinate Probabilistic-KNN (WDCP-KNN) method based on probabilistic weighting of generalized Reference Points (RPs) and differential coordinates is used. Experiments in a complex indoor environment with real values indicate that the proposed method reduces the positioning error compared to other methods and is also comparable in terms of computational complexity.
Type of Study: Research | Subject: Electrical Engineering

Add your comments about this article : Your username or Email:

© 2020 All Rights Reserved | Energy Engineering & Management

Designed & Developed by : Yektaweb