Cross-layer energy Optimization for Dynamic Video Streaming over Wi-Fi
Författare
Summary, in English
Dynamic Adaptive Streaming over HTTP (DASH)
constitutes a large fraction of traffic in the mobile Internet.
Mobile devices often use video delivery over Wi-Fi, which is a
significant energy drain. Dynamic Power Saving Mode (DPSM)
is one of the most widely-used approaches for Wi-Fi devices to
save power and shorten packet delay. However, DPSM uses a
fixed timeout before a device goes to sleep, leading to excessive
energy use in many cases. In this paper, we propose a crosslayer lightweight dynamic timeout adjustment algorithm. The
application layer measures the Round-Trip Time (RTT) of video
segments in the current timeout setup, determines an updated
timeout, sets it to the medium access control layer and requests
the next video quality based on the RTT and RTT change.
We evaluate our algorithm via simulations in OMNeT++ and
show that compared with the legacy Wi-Fi DPSM for DASH,
our algorithm reduces the average power consumption in the
radio front end while significantly improving the fairness among
users. Moreover, the new algorithm retains video quality while
achieving better energy efficiency. The improvement increases in
significance with increasing number of users, which means that
the new algorithm works well in dense scenarios.
constitutes a large fraction of traffic in the mobile Internet.
Mobile devices often use video delivery over Wi-Fi, which is a
significant energy drain. Dynamic Power Saving Mode (DPSM)
is one of the most widely-used approaches for Wi-Fi devices to
save power and shorten packet delay. However, DPSM uses a
fixed timeout before a device goes to sleep, leading to excessive
energy use in many cases. In this paper, we propose a crosslayer lightweight dynamic timeout adjustment algorithm. The
application layer measures the Round-Trip Time (RTT) of video
segments in the current timeout setup, determines an updated
timeout, sets it to the medium access control layer and requests
the next video quality based on the RTT and RTT change.
We evaluate our algorithm via simulations in OMNeT++ and
show that compared with the legacy Wi-Fi DPSM for DASH,
our algorithm reduces the average power consumption in the
radio front end while significantly improving the fairness among
users. Moreover, the new algorithm retains video quality while
achieving better energy efficiency. The improvement increases in
significance with increasing number of users, which means that
the new algorithm works well in dense scenarios.
Avdelning/ar
- Institutionen för elektro- och informationsteknik
- MAPCI - Mobile and Pervasive Computing Institute at Lund University
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
Publiceringsår
2016
Språk
Engelska
Sidor
259-265
Publikation/Tidskrift/Serie
2016 conference on Innovations in Clouds, Internet and Networks, ICIN 2016, Paris, March 1-3, 2016
Länkar
Dokumenttyp
Konferensbidrag
Förlag
IFIP Press, Laxenburg, Vienna
Ämne
- Communication Systems
Nyckelord
- cross-layer
- energy optimization
- round-trip time
- dynamic adaptive streaming via HTTP
- dynamic power saving mode
Conference name
19th International ICIN Conference
Conference date
2016-03-01 - 2016-03-03
Conference place
Paris, France
Status
Published
Projekt
- ELLIIT LU P01: WP2 Networking solutions
ISBN/ISSN/Övrigt
- ISBN: 978-3-901882-81-4