IEEE 802.11 Ad Hoc Networks: Performance Measurements
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
An experimental study of multimedia traffic performance in mesh networks
WiTMeMo '05 Papers presented at the 2005 workshop on Wireless traffic measurements and modeling
XORs in the air: practical wireless network coding
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
MobiUS: enable together-viewing video experience across two mobile devices
Proceedings of the 5th international conference on Mobile systems, applications and services
Understanding congestion in IEEE 802.11b wireless networks
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Can internet video-on-demand be profitable?
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Study of the Behaviour of Video Streaming over IEEE 802.11b WLAN Networks
WIMOB '06 Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
On-demand Video Streaming in Mobile Opportunistic Networks
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Ad Hoc Networking
Performance modeling of a bottleneck node in an IEEE 802.11 ad-hoc network
ADHOC-NOW'06 Proceedings of the 5th international conference on Ad-Hoc, Mobile, and Wireless Networks
Scholastic streaming: rethinking mobile video-on-demand in a campus environment
Proceedings of the 3rd workshop on Mobile video delivery
Onto scalable Ad-hoc networks: Deferred Routing
Computer Communications
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The demand for video content is continuously increasing as video sharing on the Internet is becoming enormously popular recently. This demand, with its high bandwidth requirements, has a considerable impact on the load of the network infrastructure. As more users access videos from their mobile devices, the load on the current wireless infrastructure (which has limited capacity) will be even more significant. Based on observations from many local video sharing scenarios, in this paper, we study the tradeoffs of using Wi-Fi ad-hoc mode versus infrastructure mode for video streaming between adjacent devices. We thus show the potential of direct device-to-device communication as a way to reduce the load on the wireless infrastructure and to improve user experiences. Setting up experiments for Wi-Fi devices connected in ad-hoc mode, we collect measurements for various video streaming scenarios and compare them to the case where the devices are connected through access points. The results show the improvements in latency, jitter and loss rate. More importantly, the results show that the performance in direct device-to-device streaming is much more stable in contrast to the access point case, where different factors affect the performance causing widely unpredictable qualities.