In the article, we propose a adaptive FEC algorithm implemented in the Access Point (AP) to improve the quality of progressively compressed3d models transmission over wireless networks(such as IEEE 802.11).Most FEC-b...
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ISBN:
(纸本)9781424458516
In the article, we propose a adaptive FEC algorithm implemented in the Access Point (AP) to improve the quality of progressively compressed3d models transmission over wireless networks(such as IEEE 802.11).Most FEC-based error control algorithms, which add redundant data to transmission data in a fixed number. However, most are unable to successfully hide the effects of burst losses (periods with high loss data rate).The number of redundant FEC data for the proposed method is determined by the AP, which is based on both channel bandwidth and end-to-enddelay. The proposed algorithm is based on three factors. One of them is the queue length in the access point, indicating network traffic load;the second factor is the average packet error rate, burst length anddensity, indicating statistics on error patterns;the third factor is packet retransmission times, indicating wireless channel state. According to these factors, we present the unequal loss protection (ULP) framework in which unequal amounts of forward error correction are applied to progressive data to provide graceful degradation of 3d models quality as packet losses increase. Moreover, it would unnecessarily add more traffic to network in already congested scenario. Our work shows that the proposed method improves system performance by dynamically tuning FEC strength to the current loss in wireless channel. We use NS-2 (network simulation version 2) simulation experiments to prove our algorithm.
In the article, we propose a adaptive FEC algorithm implemented in the Access Point (AP) to improve the quality of progressively compressed3d models transmission over wireless networks(such as IEEE 802.11).Most FEC-b...
详细信息
ISBN:
(纸本)9781424458509
In the article, we propose a adaptive FEC algorithm implemented in the Access Point (AP) to improve the quality of progressively compressed3d models transmission over wireless networks(such as IEEE 802.11).Most FEC-based error control algorithms, which add redundant data to transmission data in a fixed number. However, most are unable to successfully hide the effects of burst losses (periods with high loss data rate).The number of redundant FEC data for the proposed method is determined by the AP, which is based on both channel bandwidth and end-to-enddelay. The proposed algorithm is based on three factors. One of them is the queue length in the access point, indicating network traffic load;the second factor is the average packet error rate, burst length anddensity, indicating statistics on error patterns;the third factor is packet retransmission times, indicating wireless channel state. According to these factors, we present the unequal loss protection (ULP) framework in which unequal amounts of forward error correction are applied to progressive data to provide graceful degradation of 3d models quality as packet losses increase. Moreover, it would unnecessarily add more traffic to network in already congested scenario. Our work shows that the proposed method improves system performance by dynamically tuning FEC strength to the current loss in wireless channel. We use NS-2 (network simulation version 2) simulation experiments to prove our algorithm.
In this article, we propose an error-resilient transmission method for progressively compressed3d models. The proposed method is scalable with respect to both channel bandwidth and channel packet-loss rate. We jointl...
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In this article, we propose an error-resilient transmission method for progressively compressed3d models. The proposed method is scalable with respect to both channel bandwidth and channel packet-loss rate. We jointly design source and channel coders using a statistical measure that (i) calculates the number of both source and channel coding bits, and (ii) distributes the channel coding bits among the transmitted refinement levels in order to maximize the expecteddecoded model quality In order to keep the total number of bits before and after applying error protection the same, we transmit fewer triangles in the latter case to accommodate the channel coding bits. When the proposed method is used to transmit a typical model over a channel with a 10% packet-loss rate, the distortion (measured using the Hausdorff distance between the original and the decoded models) is reduced by 50% compared to the case when no error protection is applied.
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