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Output details

11 - Computer Science and Informatics

University of Westminster

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Output 63 of 79 in the submission

Article title

Space partitioning strategies for indoor WLAN positioning with cascade-connected ANN structures

Type

D - Journal article

DOI

10.1142/S0129065711002614

Title of journal

International Journal of Neural Systems

Article number

Volume number

Issue number

First page of article

ISSN of journal

0129-0657

Year of publication

2011

URL

http://westminsterresearch.wmin.ac.uk/8967/

Number of additional authors

Additional information

<01>Originality: The work explores two strategies for space partitioning when utilizing cascade-connected Artificial Neural Networks (ANNs) structures for indoor WLAN positioning. This paper has won the Telenor Foundation award as the most significant contribution within the telecommunication’s field of interest.

Significance: Since positioning is widely used in WLAN, 3G and 4G mobile applications this paper contributes towards improved cost effectiveness of these industries.

Rigour: Theoretical analyses were used to develop the two space partitioning strategies. This was followed by simulations and measurements made on a indoor WLAN positioning design. The paper was published in a leading peer reviewed journal.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract