Unsupervised learning of indoor localization based on received signal strength

Author:

Li Li1,Yang Wang1,Alam Bhuiyan Md Zakirul2,Wang Guojun13

Affiliation:

1. School of Information Science and Engineering; Central South University; Changsha China

2. Department of Computer and Information Sciences; Temple University; Philadelphia, PA U.S.A.

3. School of Computer Science and Educational Software; Guangzhou University; Guangzhou China

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

International Science & Technology Cooperation Program of China

National Key Technology R&D Program

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference39 articles.

1. Two-level cooperative and energy-efficient tracking algorithm in wireless sensor networks;Wang;Concurrency and Computation: Practice and Experience,2010

2. Cooperative localization in wireless networks;Wymeersch;Proceedings of the IEEE,2009

3. Empirical evaluation of wireless localization when using multiple antennas;Kleisouris;IEEE Transactions on Parallel and Distributed Systems,2010

4. Pan JJ Yang Q Co-localization from labeled and unlabeled data using graph laplacian International Joint Conference on Artificial Intelligence Hyderabad, India 2007 2166 2171

5. Geolocation Techniques

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