DocumentCode :
39395
Title :
Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks
Author :
Jie Xu ; Andrepoulos, Yiannis ; Yuanzhang Xiao ; Van der Schaar, Mihaela
Author_Institution :
Dept. of Electr. Eng., Univ. of California Los Angeles (UCLA), Los Angeles, CA, USA
Volume :
32
Issue :
4
fYear :
2014
fDate :
Apr-14
Firstpage :
782
Lastpage :
794
Abstract :
Due to the high bandwidth requirements and stringent delay constraints of multi-user wireless video transmission applications, ensuring that all video senders have sufficient transmission opportunities to use before their delay deadlines expire is a longstanding research problem. We propose a novel solution that addresses this problem without assuming detailed packet-level knowledge, which is unavailable at resource allocation time (i.e. prior to the actual compression and transmission). Instead, we translate the transmission delay deadlines of each sender´s video packets into a monotonically-decreasing weight distribution within the considered time horizon. Higher weights are assigned to the slots that have higher probability for deadline-abiding delivery. Given the sets of weights of the senders´ video streams, we propose the low-complexity Delay-Aware Resource Allocation (DARA) approach to compute the optimal slot allocation policy that maximizes the deadline-abiding delivery of all senders. A unique characteristic of the DARA approach is that it yields a non-stationary slot allocation policy that depends on the allocation of previous slots. This is in contrast with all existing slot allocation policies such as round-robin or rate-adaptive round-robin policies, which are stationary because the allocation of the current slot does not depend on the allocation of previous slots. We prove that the DARA approach is optimal for weight distributions that are exponentially decreasing in time. We further implement our framework for real-time video streaming in wireless personal area networks that are gaining significant traction within the new Internet-of-Things (IoT) paradigm. For multiple surveillance videos encoded with H.264/AVC and streamed via the 6tisch framework that simulates the IoT-oriented IEEE 802.15.4e TSCH medium access control, our solution is shown to be the only one that ensures all video bitstreams are delivered with acceptable quality in a deadline-- biding manner.
Keywords :
Internet of Things; Zigbee; personal area networks; resource allocation; video coding; video streaming; video surveillance; DARA; H.264-AVC; IEEE 802.15.4e; Internet-of-Things-enabled networks; TSCH medium access control; bandwidth requirements; current slot; delay-aware resource allocation; delay-constrained video streaming; multiuser wireless video transmission; nonstationary resource allocation; packet-level knowledge; rate-adaptive round-robin policy; real-time video streaming; slot allocation; surveillance videos; transmission delay; transmission opportunity; video senders; weight distribution; wireless personal area networks; Delays; IEEE 802.15 Standards; Member and Geographic Activities Board committees; Resource management; Streaming media; Vectors; Wireless communication; IEEE 802.15.4e; Internet-of-Things; non-stationary policies; resource allocation; wireless video sensor networks;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/JSAC.2014.140410
Filename :
6774597
Link To Document :
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