Neuro-Fuzzy approach to video transmission over ZigBee
نویسندگان
چکیده
This research paper presents Neuro-Fuzzy applications to Moving Picture Expert Group (MPEG-4) video transmission in IEEE 802.15.4 ZigBee wireless. ZigBee can operate within 2.4 GHz frequency with a data rate of 250 kb/s, which may interfere with other wireless devices functioning within the same frequency band such as WiFi and Bluetooth. MPEG-4 Variable Bit Rate (VBR) video demands large bandwidth, and may cause data loss and time delay in the data rate limited ZigBee channel as a result of high variation in bit rate. Consequently, it is almost impracticable for MPEG-4 VBR video to be transmitted in the ZigBee channel. This paper introduces two new Neuro-Fuzzy schemes to monitor the input and the output of a data storage entitled traffic-regulating buffer. The input of the buffer is controlled by a Neuro-Fuzzy scheme to ensure that the traffic-regulating buffer neither flooded nor starved with video data. The output of the traffic-regulating buffer is observed by a second Neuro-Fuzzy scheme to make sure the departure-rate conforms to the traffic condition of ZigBee. The simulation results demonstrate that the proposed two Neuro-Fuzzy schemes reduce the excessive data loss and improve the picture quality, as compared with the conventional MPEG-4 VBR video over ZigBee. & 2012 Elsevier B.V. All rights reserved.
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عنوان ژورنال:
- Neurocomputing
دوره 104 شماره
صفحات -
تاریخ انتشار 2013