2013
DOI: 10.1016/j.asoc.2013.07.025
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An adaptive multimedia streaming dissemination system for vehicular networks

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Cited by 24 publications
(15 citation statements)
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“…Nowadays, the distribution of real-time multimedia content over Vehicular Ad-Hoc Networks (VANETs) is becoming a reality and allowing drivers/passengers to have new experiences with on-road videos in a smart city [2,3]. According to Cisco, video traffic will represent over 90% of the global IP data in a few years, where thousands of users will produce, share, and consume multimedia services ubiquitously, including in their vehicles.…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, the distribution of real-time multimedia content over Vehicular Ad-Hoc Networks (VANETs) is becoming a reality and allowing drivers/passengers to have new experiences with on-road videos in a smart city [2,3]. According to Cisco, video traffic will represent over 90% of the global IP data in a few years, where thousands of users will produce, share, and consume multimedia services ubiquitously, including in their vehicles.…”
Section: Introductionmentioning
confidence: 99%
“…Communication modules are expected to be embedded in vehicular entertainment systems, integrating the Microsoft Silver-light streaming technique and Microsoft Expression Encoder to deliver Smooth Streaming effect and provide users with a high-quality viewing experience. [12]…”
Section: Introductionmentioning
confidence: 99%
“…It takes the moving direction and the distance as the inputs of fuzzy logic and improves the delivery ratio. A seamless streaming dissemination system for vehicular networks is designed in [16]. It uses fuzzy logic to check if a roadside unit or a vehicular node can be a candidate to transfer stream data for users or not.…”
Section: Related Workmentioning
confidence: 99%
“…Although both of them utilize backbone nodes to forward data, SFN improves the backbone selection and the backbone network construction. Firstly, SBN prefers a vehicle with slow speed to be backbone in a road segment, no matter Input: , OP , CP ; Output: NOP, DP; (1) if is a correct data packet then (2) = SOP( ) − OP ; (3) if ∃ ⊆ YP( ) satisfying decoding conditions then (4) obtain original packets SOP( ) by decoding ; (5) NOP = SOP( ) − OP ; (6) while ∃{ , } ⊆ NOP having DIR( ) ̸ = DIR( ) do (7) create a coded packet DP({ , }); (8) send DP({ , }) to +1 and −1 ; (9) send two coded packets using { , } to ; (10) NOP = NOP − { , }; (11) end (12) create coded packets DP(NOP); (13) if DIR(NOP) = 1 then (14) send DP(NOP) to +1 and ; (15) else (16) send DP(NOP) to −1 and ; (17) end (18) end (19) end (20) if is an incorrect data packet then (21) send REQ( ) to ; (22) end (23) if is REQ( ) from node then (24) if is carried by then (25) if ∃ other original packet to be sent to then (26) create one or several coded packets DP({ , }); (27) send DP({ , }) to ; (28) else (29) send to ; (30) end (31) else (32) if DIR( ) = 1 then (33) send REQ( ) to −1 ; (34) else (35) send REQ( ) to +1 ; (36) end (37) end (38) end Algorithm 1: Data coding and forwarding algorithm for primary backbone . how fast other vehicles drive; SFN chooses a vehicle with a speed close to the optimal speed in each segment.…”
Section: Network Configurationsmentioning
confidence: 99%