Abstract
The fact that most mobile phones are equipped with short-range communication devices, such as Bluetooth, etc., and a portion of mobile phones have GPS embedded enables us to envision to roughly localize GPS-free phones recursively and progressively by exploiting the available information. With the position of GPS equipped phones as beacons, and with the Bluetooth connection between neighbor phones as proximity constraints, we formulate the problem as an inequality problem defined on the Bluetooth network. A recurrent neural network is developed to solve the problem distributively in real time. The convergence of the neural network and the solution feasibility to the defined problem are both theoretically proven. Two applications examples are considered and simulated. Simulations demonstrate the effectiveness of the proposed method.
Original language | English |
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Title of host publication | 2012 International Joint Conference on Neural Networks, IJCNN 2012 |
DOIs | |
Publication status | Published - 22 Aug 2012 |
Externally published | Yes |
Event | 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012 - Brisbane, QLD, Australia Duration: 10 Jun 2012 → 15 Jun 2012 |
Conference
Conference | 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012 |
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Country/Territory | Australia |
City | Brisbane, QLD |
Period | 10/06/12 → 15/06/12 |
Keywords
- Bluetooth
- localization
- mobile phone
- Recurrent neural network
ASJC Scopus subject areas
- Software
- Artificial Intelligence