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Output details

11 - Computer Science and Informatics

London Metropolitan University

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Output 16 of 24 in the submission

Article title

Neuro-Fuzzy approach to video transmission over ZigBee

Type

D - Journal article

DOI

10.1016/j.neucom.2012.10.006

Title of journal

Neurocomputing

Article number

Volume number

104

Issue number

First page of article

127

ISSN of journal

09252312

Year of publication

2013

URL

Number of additional authors

Additional information

<06>IEEE-802.15.4 ZigBee provides highly reliable communications. ZigBee can operate within 2.4GHz ISM frequency, consumes less power and is cheaper than other 2.4GHz technologies such as Bluetooth, WiFi, Cordless-Phones and Microwave-Ovens. MPEG-4 video demands large bandwidth and may cause data loss and time delay in ZigBee channels. Consequently, it is almost impossible to transmit MPEG-4 in ZigBee. This is an AI paper and introduces two new Neuro-Fuzzy schemes to video transmission over ZigBee to reduce burstiness and data loss of MPEG-4 for various noise levels by a considerable amount proving that the methodology is suitable for real-time industrial and domestic applications.

Interdisciplinary

Cross-referral requested

Research group

6 - Intelligence Systems Research Centre

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract