CN104796793B - Opportunistic Multimedia Dynamic cloud platform and the transmission method of many relaying classification cooperations - Google Patents
Opportunistic Multimedia Dynamic cloud platform and the transmission method of many relaying classification cooperations Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/647—Control signaling between network components and server or clients; Network processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load, bridging between two different networks, e.g. between IP and wireless
- H04N21/64723—Monitoring of network processes or resources, e.g. monitoring of network load
- H04N21/6473—Monitoring network processes errors
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/647—Control signaling between network components and server or clients; Network processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load, bridging between two different networks, e.g. between IP and wireless
- H04N21/64784—Data processing by the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/647—Control signaling between network components and server or clients; Network processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load, bridging between two different networks, e.g. between IP and wireless
- H04N21/64784—Data processing by the network
- H04N21/64792—Controlling the complexity of the content stream, e.g. by dropping packets
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Abstract
The invention discloses a kind of opportunistic Multimedia Dynamic cloud platform and the transmission method of many relaying classification cooperations, including according to different media streams and multimedia high in the clouds state, real-time judge analyzes changing rule of the channel quality to packet loss, decodable code frame per second and Y-PSNR, and opportunistic sets up the optimization active multi-media cloud platform for meeting multiplicity of subscriber demand；Media stream is reconstructed based on picture group classification cooperation in wireless sensor network；Many relaying classification cooperation transmission network set up the scheme are given according to user's request, multimedia cloud platform state and sensor node state.This method has taken into full account media stream, Multimedia Dynamic cloud platform and wireless sensor network state, opportunistic sets up Multimedia Dynamic cloud platform and many relaying classification cooperation wireless sensor networks, and media stream cloud computing efficiency, optimization multi-medium data encoding and decoding complexity are lifted while the diversity requirement of user is met and wireless sensor network resource utilization is improved.
Description
Technical field
The present invention relates to multimedia cloud platform and cooperation transmission method, more particularly to a kind of opportunistic Multimedia Dynamic cloud
Platform and the transmission method of many relaying classification cooperations, belong to multimedia communication and field of cloud computer technology.
Background technology
Transmission path between opportunistic network technology Maintenance free transmitting terminal and purpose end node, takes into full account network topology
Dynamic characteristic, the chance of meeting inspired according to certain factor, data transmission network is constituted by Nodes Self-organized.And wireless sensing
In device network multimedia communication, multimedia big data is stored in cloud platform, and sensor node receives the multimedia from cloud platform
Stream.But when providing multimedia service by terms of own power source, hardware device noise, extraneous circumstances not known factor interference
Limitation, it is difficult to solve the problems, such as media stream service quality guarantee in remote, long-time and big data quantity real-time Communication for Power.And
Multimedia streaming data service also has these features：Different multimedia flow structure and its to data storage, data processing and transmission
It is required that different；User's request has diversity, and network state is dynamic change.So the media stream of conventional static state cloud platform
Computational methods and single relaying single-stage cooperation transmission method can not meet the diversity multimedia application of wireless sensor network
The requirements of support.In consideration of it, the applicant has made beneficial design, technical scheme described below is under this background
Produce.
The content of the invention
For above-mentioned the deficiencies in the prior art, it is an object of the invention to provide a kind of opportunistic Multimedia Dynamic cloud platform and
The transmission method of many relaying classification cooperations, adaptive opportunistic sets up the optimization active multi-media for meeting multiplicity of subscriber demand
Cloud platform, and many relayings-classification cooperation biography is set up according to user's request, multimedia cloud platform state and sensor node state
Defeated network.
The technical scheme is that such：What a kind of opportunistic Multimedia Dynamic cloud platform and many relaying classifications cooperated
Transmission method, including set up opportunistic Multimedia Dynamic cloud platform, it is described set up opportunistic Multimedia Dynamic cloud platform include with
Lower step：
S01, user side demand multimedia streaming data after MPEG algorithm codings state be defined as intracoded frame, it is preceding
To encoded predicted frame, bi-directional predicted interpolation coding frame }, each multimedia high in the clouds state is defined as { between residual memory space, high in the clouds
Communication distance, transmit power }；
S02, with reference to status parameter values after the multimedia streaming data coding obtained in step S01, multimedia streaming data with it is fixed
Property parameter SYSTEM OF LINEAR VECTOR calculate, draw frame of video to be sent；
S03, the priority for determining multimedia streaming data, priority is 1 when multimedia streaming data only includes intracoded frame,
Priority is 2 when multimedia streaming data only includes intracoded frame and forward-predictive-coded frames, and multimedia streaming data includes frame in
Priority is 3 when coded frame, forward-predictive-coded frames and bi-directional predicted interpolation coding frame；
S04, user side demand focus on Real-time Ability and turn S05, focus on play quality guarantee and turn S06, focus on combination property
Turn S07；
S05, select from meeting communication distance between high in the clouds and be less than in the set of 10% high in the clouds of distance between transmitting terminal and receiving terminal
Select 3 high in the clouds and set up cloud platform, calculate the cloud platform bit error rate, if the bit error rate is more than 3%, 1 is selected from the set of high in the clouds
High in the clouds rebuilds cloud platform with foregoing 3 high in the clouds, for sending the multimedia streaming data that priority is 1；
S06, select from meeting communication distance between high in the clouds and be less than in the set of 5% high in the clouds of distance between transmitting terminal and receiving terminal
Cloud platform is set up in 4 high in the clouds, for sending the multimedia streaming data that priority is 2；
S07, select from meeting communication distance between high in the clouds and be less than in the set of 10% high in the clouds of distance between transmitting terminal and receiving terminal
Select 3 high in the clouds and set up cloud platform, calculate the cloud platform bit error rate, if the bit error rate is less than 3%, removes 1 high in the clouds and rebuild cloud
Platform；If the bit error rate is more than or equal to 3% and less than or equal to 4%, communication distance is less than transmitting terminal with connecing between high in the clouds is met
Cloud platform is set up in 2 high in the clouds of selection in the 6% high in the clouds set of distance between receiving end, for sending the media stream that priority is 3
Data.
Further, opportunistic Multimedia Dynamic cloud platform and the transmission methods of many relaying classification cooperations include step S08,
Select NRIndividual via node, sets up NR-NMIt is classified cooperation transmission network, the NMTo be built in step S05, S06 or S07
The high in the clouds number that vertical cloud platform is included.
Further, the opportunistic Multimedia Dynamic cloud platform and the transmission method of many relaying classification cooperations include step
S09, sender node are to NRIndividual candidate relay node and receiving terminal node send multi-medium data, and contrast comes from candidate relay section
The feedback information of point and receiving terminal node, if feedback is consistent, sets up classification cooperation transmission network；If feedback is inconsistent,
The inconsistent candidate relay node of feedback is then excluded, remaining candidate relay node sets up classification cooperation transmission network.
Further, during the via node failure of the foundation classification cooperation transmission network, the via node will send and lose
The multimedia streaming data reconstruct lost, is broadcasted to neighbor node, and neighbor node and receiving terminal node receive the backward relaying section of broadcast
Point feedback, is selected not from feedback in the NRThe neighbor node of individual candidate relay node replaces the via node.
Further, the NRIt is so that channel utilization CNWith when decodable code frame per second DFR reaches maximum on receiving terminal node
Value.
It is preferred that, it is describedIt is describedInstitute
State CAFor the junction network number of channel, the n is frame of video number in multimedia streaming data, and the m is picture group number, the k
For video frame type number, described α, β, γ be respectively intracoded frame in picture group, forward-predictive-coded frames, it is bi-directional predicted in
Insertion encoding frame and group of pictures length ratio, the d are sender node to receiving terminal node distance, the dlFor between via node
Distance.
It is preferred that, the residual memory space in high in the clouds described in the step S05 is more than nISI/NM, institute in the step S06
The residual memory space for stating high in the clouds is more than (nISI+nPSP)/NM, the residual memory space in high in the clouds is more than described in the step S07
(nISI+nPSP+nBSB)/NM, the nIIt is intracoded frame number in multimedia streaming data, the nPIt is forward-predictive-coded frames
Number, the nSIt is bi-directional predicted interpolation coding frame number, the SIIt is intraframe coding frame sign, the SPIt is that forward prediction is compiled
Code frame sign, the SBIt is bi-directional predicted interpolation coding frame sign.
The beneficial effect of technical scheme provided by the present invention is, using Multimedia Dynamic high in the clouds, according to different many matchmakers
Body stream and multimedia high in the clouds state, real-time judge analyze change of the channel quality to packet loss, decodable code frame per second and Y-PSNR
Law, adaptive opportunistic sets up the optimization active multi-media cloud platform for meeting multiplicity of subscriber demand, so as to be wireless
Sensor network, which is provided, has reliable, real-time and healthy and strong multimedia streaming service.In wireless sensor network, based on picture group
Media stream from cloud platform is reconstructed for GOP classification cooperations；With reference to the receiving power of via node and receiving terminal node
Set up optimal many relaying classification collaboration relay node set；According to user's request, multimedia cloud platform state and sensor node
State gives many relayings-classification cooperation transmission network set up the scheme.Meet diversity requirement, the lifting media stream cloud of user
Computational efficiency, optimization multi-medium data coding and decoding complex degree, and improve wireless sensor network resource utilization.
Brief description of the drawings
Fig. 1 is the transmission based on opportunistic Multimedia Dynamic cloud platform and many relayings-classification cooperation wireless sensor network
Schematic diagram.
Fig. 2 is influence changing rule schematic diagram of the bit error rate to packet loss.
Fig. 3 is influence changing rule schematic diagram of the bit error rate to decodable code frame per second.
Fig. 4 is influence changing rule schematic diagram of the bit error rate to Y-PSNR PSNR.
Fig. 5 is multimedia cloud platform architectural schematic.
Fig. 6 is 6*5 network design schematic diagrames.
Fig. 7 is multi-relay cooperation communication topology schematic diagram.
Fig. 8 is many relaying classification cooperation transmission cyclic process schematic diagrames.
Fig. 9 is multimedia application hierarchical mode schematic diagram.
Embodiment
With reference to embodiment, the invention will be further described, but not as a limitation of the invention.
In wireless sensor network multimedia communication, it is assumed that M is that multi-medium data is quantitatively gathered, T is the media stream on M
Qualitative parameter set, if quantitative multi-medium data x belongs to M and is T Random Maps, x belongs to interval to T degree of certainty f (x)
[0,1], and the random number with stable tendency, then distributions of the x on multimedia domain, MMD M are referred to as multimedia high in the clouds and are denoted as M (x).
On M (x), t frame of video, F=F are stored1,F2,…,Ft.Each frame of video is belonging respectively to intracoded frame I,
One of forward-predictive-coded frames P and bi-directional predicted interpolation coding frame B types.With reference to user's request UrWith the qualitative parameter of media stream
Vector T, calculates frame of video F to be senti, calculated and obtained according to formula (1).
Wherein, function h (Fi, T) and it is to be analyzed with reference to qualitative parameter calculating object video frame, functionIt is to be combined user's request with above-mentioned 2 analytical conclusions, particularly by the degree of certainty f of frame of video
(Fi) and qualitative analysis h (Fi, T) it is combined, map flow data exactly for user.
In addition, Tp(Fi) it is that its priority is judged according to video frame type, while being determined according to result of calculation in media stream
Comprising frame type：
(1)Tp(Fi)=1 shows in media stream that only comprising I frames it is primary media stream now to define the media stream
S0, priority is 1；
(2)Tp(Fi)=2 show in media stream only comprising I frames and P frames, now define the media stream many for secondary
Media Stream SL, priority is 2；
(3)Tp(Fi)=3 show in media stream that only comprising I frames, P frames and B frames it is height now to define the media stream
Level multimedia stream SH, priority is 3, is closed while the media stream of degree of certainty and 3 kinds of different stages has as shown in formula (2)
System.
Wherein, L (S0)L(SL) and L (SH), the length of three kinds of rank media streams is represented respectively, in units of packet,
With following features：
(1) passive type mark (up)：Wireless sensor network WSNs upload data, adaptive one high in the clouds of mark and its
Set up through type service conversation；
(2) active on-demand service (descending)：According to wireless sensor network WSNs user's requests it is active transmission or turn
Send out multi-medium data；
(3) heterogeneous network compatibility：Can be with wired, WLAN, WSNs, the heterogeneous network such as Internet of Things IOT is realized simultaneous
Hold communication, it is set up into transparent processing module between the cloud service of upper strata；
(4) streaming cloud computing resources are shared：Adaptively selected high in the clouds multi-medium data provides the user long-time stable
Streaming data devices；
(5) cloud service reliability：Provide the user the multimedia streaming service with highly reliable, real-time and robustness.
During multimedia communication, it is { multimedia high in the clouds number N to define multimedia cloud platform stateM, signal to noise ratio snr can
Decode frame number Ndec, number-of-packet Npacket, bit error rate Pb}.When each multimedia high in the clouds is separate and meets Gaussian Profile,
The signal to noise ratio of receiving terminal can be calculated by formula (3) and obtained.
Wherein, ENFor Gaussian Profile desired value, d is distance between sender node and receiving terminal node.
Decodable code frame per second NdecIt can be calculated and obtained by formula (4).
Wherein, NI, NPAnd NBThe number of respectively I frames, P frames and B frames.
Packet loss can be calculated by formula (5) and obtained.
(English full name is PSNR：Peak Signal to Noise Ratio, Chinese is：Y-PSNR) can be by
Formula (6) is calculated and obtained.
According to formula (4), (5) and (6), influence of the assay bit error rate to packet loss, decodable code frame per second and PSNR, knot
Fruit is as shown in Fig. 2,3 and 4.Refering to Fig. 2, when the bit error rate increases, packet loss increases therewith.When multimedia high in the clouds scale or communication
Packet loss increases therewith during distance increase.When channel quality is good and NMFor 3 when packet loss close to 0.Show, increase multimedia cloud
End quantity will not significantly improve multimedia communication quality.Find that the bit error rate is bigger, and decodable code frame per second is lower refering to Fig. 3.As many matchmakers
Packet loss also increases when body high in the clouds scale or communication distance increase.When the bit error rate is more than 3% and is less than 4%, NMWith d to SNR
(English full name is：Signal to Noise Ratio, Chinese is：Signal to noise ratio) influence smaller.Found refering to Fig. 4, if
The bit error rate is more than 4%, can be provided effectively for telecommunication quality by increasing the smooth PSNR shakes of multimedia high in the clouds number
Ensure.
In summary, the chance active multi-media cloud platform based on performance awares such as packet loss, decodable code frame per second and PSNR
As shown in figure 5, implementation step is specific as follows：
(English full name is through MPEG for S01, multimedia streaming data：Moving Picture Experts Group, Chinese name
Referred to as：Dynamic image expert group) { intracoded frame I, forward-predictive-coded frames P, bi-directional predicted interpolation are defined as after algorithm coding
Coded frame B }, multimedia high in the clouds state is defined as { residual memory space SRi, communication distance dc, transmit power PS}.Wherein many matchmakers
Body stream mode parameter value can be obtained after system initialization, and multimedia high in the clouds status parameter values can be according to cloud device build-in attribute
Obtain.
S02, with reference to status parameter values after the multimedia streaming data coding obtained in step S01, multimedia streaming data with it is fixed
Property parameter vector T is linearly calculated, and draws frame of video F to be senti。
S03, the frame type T for determining to include in media stream according to result of calculationp(Fi) determine priority.Tp(FiThe table of)=1
It is 1 to be only entered as 1, i.e. priority comprising I frames in bright media stream；Only it is entered as in media stream comprising I frames and P frames
2, i.e., priority is 2；I frames are included in media stream, P frames and B frames are entered as 3, i.e., priority is 3.
S04, user side demand focus on Real-time Ability and turn S05, focus on play quality guarantee and turn S06, focus on combination property
Turn S07；
S05, from 10% high in the clouds for meeting communication distance between high in the clouds and being less than distance between sender node and receiving terminal node
Select 3 high in the clouds to set up cloud platform in set, calculate the cloud platform bit error rate, if the bit error rate is more than 3%, from the set of high in the clouds
1 high in the clouds of selection rebuilds cloud platform with foregoing 3 high in the clouds, for sending the multimedia streaming data that priority is 1；
S06, from meeting the high in the clouds collection that communication distance between high in the clouds is less than between sender node and receiving terminal node the 5% of distance
4 high in the clouds are selected to set up cloud platform in conjunction, for sending the multimedia streaming data that priority is 2；
S07, from 10% high in the clouds for meeting communication distance between high in the clouds and being less than distance between sender node and receiving terminal node
Select 3 high in the clouds to set up cloud platform in set, calculate the cloud platform bit error rate, if the bit error rate is less than 3%, remove 1 high in the clouds
And rebuild cloud platform；If the bit error rate is more than or equal to 3% and less than or equal to 4%, communication distance is less than hair between high in the clouds is met
Cloud platform is set up in 2 high in the clouds of selection in the 6% high in the clouds set of distance between sending end node and receiving terminal node, preferential for sending
Level is 3 multimedia streaming data.
Assuming that containing n frame of video in media stream, (English full name is by m GOP：Group of Pictures, Chinese
It is entitled：Picture group), k video frame type, the goodput transmitted on WSNs can be calculated by formula (7) and obtained.
Wherein, NRFor cooperative node scale, i.e. via node number,Represent that receiving terminal is correctly decoded.
T (n) is directly proportional to participating in the via node scale of cooperation transmission in WSNs it can be seen from formula (7), with many matchmakers
Video frame type in body stream is inversely proportional, and is directly proportional to GOP numbers.Therefore, using many relayings-classification cooperation many matchmakers of scheme transmission
Body stream, with following several advantages：
(1) space diversity gain is obtained by many relay transmissions；
(2) by optimizing video frame structure in media stream, compression media stream scale can obtain energy gain, it is ensured that real
Shi Xing；
(3) relay more-be classified cooperation transmission can obtain at a distance, long-time transmission reliability ensure.
Therefore, the cooperation media stream based on chance multimedia cloud platform is defined as { n, m, k }, and frame of video characterizing definition is
{ α, beta, gamma }.Sender node is obtained after media stream from multimedia cloud platform, is reconstructed by above-mentioned definition and is sent to NRIt is individual
Via node, { S, NR, D } and collectively form classification cooperation transmission network.
Each via node and receiving terminal node D are received after media stream, are reconstructed and are fed back to sender node S
Confirmation.When designing many relaying-classification cooperation transmission networks, for detection and the collaborative network reparation of nodes break down
Method is as follows：
(1) N is come from by contrastRFeedback and D feedback, if unanimously, showing to be properly received；
(2) otherwise, inconsistent via node must exit many relayings-classification collaborative network；
(3) malfunctioning node reconstructs the multimedia streaming data for sending failure by definition, is broadcasted to neighbor node, neighbor node
And D nodes receive backward malfunctioning node feedback, are selected from feedback not in NRIn neighbor node replace the node；
(4) by once retransmitting, it is ensured that flow data correctly reaches D nodes, substitute node, reconstruct classification coorporative network are selected
Network.
In summary, specifically set up relaying-classification cooperation transmission network process and be divided into three phases：
First stage：Set up NR-NMIt is classified cooperative node set
The receiving power P of D nodes can be obtained by formula (8)r.Wherein, the receiving power P of via nodelCan be by formula (9)
Obtain.
Wherein, P represents the transimission power of end-to-end communication, and β represents path loss parameter and β=3.
In order to support parallel communications, process require that transmit power PS≤Pr(mα+β+γ)/n, wherein, α β γ are respectively GOP
In, I, P and B frames and GOP length ratio.
Under extreme conditions shown in many relayings-classification collaborative network noise such as formula (10).
All transmission channel utilization used can be obtained by formula (11).
Wherein it is the number of channel in junction network.
Decodable code frame per second DFR can be obtained by formula (12).
In order to obtain optimal NRNMValue, provides following constraints：
(1) channel usage number reaches maximum；
(2) decodable code frame per second reaches maximum on node D.
Fig. 6 gives a 6*5 two-dimensional networks topology, wherein deploying 4 multimedia high in the clouds and 3 via nodes.
Second stage：Multi-relay cooperation is transmitted.
Each via node from sender node S and corresponding multimedia high in the clouds, will receive the cooperation of { n, m, k } reconstruct
Transmitted in parallel gives node D after media stream, reconstruct absolute coding.Average emitted power, which is necessarily less than, during parallel communications is equal toAfter the media stream that via node is received, do not decode, do not decode and be only reconstructed, it is necessary to which the frame number transmitted isAll via nodes all complete classification cooperation transmission needs 2N altogetherRNMIt is secondary.
Fig. 7 gives multi-relay cooperation transmission topology.Find that chance active multi-media cloud platform can basis refering to Fig. 7
User's request and network channel real-time status are adaptively built.Sender node S and via node can select optimal multimedia
High in the clouds scale is to improve down transmission efficiency and quality of the media stream from cloud platform to WSNs.
Phase III：Classification cooperation decoding.
Node D is received from sender node S and NRIndividual via nodeIndividual packet.Fig. 8 gives many
Relay NR-NMBe classified collaborative network one builds and the dynamic specific example adjusted.
Fig. 1 and 9 are referred to, based on opportunistic Multimedia Dynamic cloud platform and many relayings-classification cooperation wireless sensor network
The multimedia application of network is divided into three-tier architecture：(1) multimedia application layer；(2) cloud platform layer；(3) infrastructure layer.Multimedia takes
The cloud computing method of business and the implementation steps of system are specific as follows：
(English full name is through MPEG for S01, multimedia streaming data：Moving Picture Experts Group, Chinese name
Referred to as：Dynamic image expert group) { intracoded frame I, forward-predictive-coded frames P, bi-directional predicted interpolation are defined as after algorithm coding
Coded frame B }, multimedia high in the clouds state is defined as { residual memory space SRi, communication distance dc, transmit power PS}.Wherein many matchmakers
Body stream mode parameter value can be obtained after system initialization, and multimedia high in the clouds status parameter values can be according to cloud device build-in attribute
Obtain.
S02, with reference to status parameter values after the multimedia streaming data coding obtained in step S01, multimedia streaming data with it is fixed
Property parameter vector T is linearly calculated, and draws frame of video F to be senti。
S03, the frame type T for determining to include in media stream according to result of calculationp(Fi) determine priority.Tp(FiThe table of)=1
It is 1 to be only entered as 1, i.e. priority comprising I frames in bright media stream；Only it is entered as in media stream comprising I frames and P frames
2, i.e., priority is 2；I frames are included in media stream, P frames and B frames are entered as 3, i.e., priority is 3.
S04, user side demand focus on Real-time Ability and turn S05, focus on play quality guarantee and turn S06, focus on combination property
Turn S07；
S05, from 10% high in the clouds for meeting communication distance between high in the clouds and being less than distance between sender node and receiving terminal node
Select 3 high in the clouds to set up cloud platform in set, calculate the cloud platform bit error rate, if the bit error rate is more than 3%, from the set of high in the clouds
1 high in the clouds of selection rebuilds cloud platform with foregoing 3 high in the clouds, for sending the multimedia streaming data that priority is 1；
S06, from meeting the high in the clouds collection that communication distance between high in the clouds is less than between sender node and receiving terminal node the 5% of distance
4 high in the clouds are selected to set up cloud platform in conjunction, for sending the multimedia streaming data that priority is 2；
S07, from 10% high in the clouds for meeting communication distance between high in the clouds and being less than distance between sender node and receiving terminal node
Select 3 high in the clouds to set up cloud platform in set, calculate the cloud platform bit error rate, if the bit error rate is less than 3%, remove 1 high in the clouds
And rebuild cloud platform；If the bit error rate is more than or equal to 3% and less than or equal to 4%, communication distance is less than hair between high in the clouds is met
Cloud platform is set up in 2 high in the clouds of selection in the 6% high in the clouds set of distance between sending end node and receiving terminal node, preferential for sending
Level is 3 multimedia streaming data；
S08, selection NRIndividual via node, sets up NR-NMIt is classified cooperation transmission network；
S09, sender node are to NRIndividual candidate relay node and receiving terminal node send multi-medium data, and contrast is from time
The feedback information of via node and receiving terminal node is selected, if feedback is consistent, classification cooperation transmission network is set up；If feedback
It is inconsistent, then the inconsistent candidate relay node of feedback is excluded, remaining candidate relay node sets up classification cooperation transmission network.
When S10, the via node failure of foundation classification cooperation transmission network, the via node will send the multimedia of failure
Flow data is reconstructed, and is broadcasted to neighbor node, and neighbor node and receiving terminal node receive the backward via node feedback of broadcast, from anti-
Selected in feedback not in the NRThe neighbor node of individual candidate relay node replaces the via node.
S11, by once retransmitting, it is ensured that flow data correctly reaches receiving terminal node D, selects substitute node, reconstruct classification
Collaborative network.
S12, relay N moreR-NMClassification cooperation decoding.Receiving terminal node D is received from sender node S and NRIndividual relaying section
PointIndividual packet, media stream is played after demodulated, decoding, MPEG decodings.
The present invention is by real-time perception channel quality, wireless sensor network state, multimedia high in the clouds and sensor node
State, opportunistic builds Multimedia Dynamic cloud platform, relaying-classification cooperation transmission network more than Adaptive Planning, so as to be difference
Multimedia application under network environment provides the synthesis in terms of robustness, robustness, real-time, energy efficiency and computational efficiency
Ensure.
Claims (7)
1. a kind of opportunistic Multimedia Dynamic cloud platform and the transmission method of many relaying classification cooperations, it is characterised in that including building
Vertical opportunistic Multimedia Dynamic cloud platform, the opportunistic Multimedia Dynamic cloud platform of setting up comprises the following steps：
S01, user side demand multimedia streaming data after MPEG algorithm codings state be defined as that { intracoded frame, forward direction is pre-
Survey coded frame, bi-directional predicted interpolation coding frame }, each multimedia high in the clouds state is defined as { communicating between residual memory space, high in the clouds
Distance, transmit power }；
S02, with reference to status parameter values, multimedia streaming data and qualitative ginseng after the multimedia streaming data coding obtained in step S01
Measure SYSTEM OF LINEAR VECTOR to calculate, draw frame of video to be sent；
S03, the priority for determining multimedia streaming data, priority is 1, many matchmakers when multimedia streaming data only includes intracoded frame
Priority is 2 when body flow data only includes intracoded frame and forward-predictive-coded frames, and multimedia streaming data includes intraframe coding
Priority is 3 when frame, forward-predictive-coded frames and bi-directional predicted interpolation coding frame；
S04, user side demand focus on Real-time Ability and turn S05, focus on play quality guarantee and turn S06, focus on combination property and turn
S07；
S05, select 3 from meeting communication distance between high in the clouds and be less than in the set of 10% high in the clouds of distance between transmitting terminal and receiving terminal
Cloud platform is set up in high in the clouds, calculates the cloud platform bit error rate, if the bit error rate is more than 3%, from the set of high in the clouds 1 high in the clouds of selection with
Foregoing 3 high in the clouds rebuilds cloud platform, for sending the multimedia streaming data that priority is 1；
S06, select 4 from meeting communication distance between high in the clouds and be less than in the set of 5% high in the clouds of distance between transmitting terminal and receiving terminal
Cloud platform is set up in high in the clouds, for sending the multimedia streaming data that priority is 2；
S07, select 3 from meeting communication distance between high in the clouds and be less than in the set of 10% high in the clouds of distance between transmitting terminal and receiving terminal
Cloud platform is set up in high in the clouds, calculates the cloud platform bit error rate, if the bit error rate is less than 3%, is removed 1 high in the clouds and is rebuild cloud platform；
If the bit error rate is more than or equal to 3% and less than or equal to 4%, communication distance is less than between transmitting terminal and receiving terminal between high in the clouds is met
Cloud platform is set up in 2 high in the clouds of selection in the 6% high in the clouds set of distance, for sending the multimedia streaming data that priority is 3.
2. opportunistic Multimedia Dynamic cloud platform according to claim 1 and the transmission method of many relaying classification cooperations, its
It is characterised by, including step：
S08, selection NRIndividual via node, sets up NR-NMIt is classified cooperation transmission network, the NMFor step S05, S06 or
The high in the clouds number that the cloud platform set up in S07 is included.
3. opportunistic Multimedia Dynamic cloud platform according to claim 2 and the transmission method of many relaying classification cooperations, its
It is characterised by, including step：
S09, sender node are to NRIndividual candidate relay node and receiving terminal node send multi-medium data, and contrast is come from candidate
After node and the feedback information of receiving terminal node, if feedback is consistent, classification cooperation transmission network is set up；If feedback differs
Cause, then exclude the inconsistent candidate relay node of feedback, remaining candidate relay node sets up classification cooperation transmission network.
4. the transmission method of the opportunistic Multimedia Dynamic cloud platform and many relaying classification cooperations according to Claims 2 or 3,
It is characterized in that：During the via node failure of the foundation classification cooperation transmission network, the via node will send many of failure
Media stream data is reconstructed, and is broadcasted to neighbor node, and neighbor node and receiving terminal node receive the backward via node feedback of broadcast,
Selected from feedback not in the NRThe neighbor node of individual candidate relay node replaces the via node.
5. the transmission method of the opportunistic Multimedia Dynamic cloud platform and many relaying classification cooperations according to Claims 2 or 3,
It is characterized in that：The NRIt is so that channel utilization CNTaking during maximum is reached with decodable code frame per second DFR on receiving terminal node
Value.
6. opportunistic Multimedia Dynamic cloud platform according to claim 5 and the transmission method of many relaying classification cooperations, its
It is characterised by：It is describedIt is described2≤ρ≤5, it is described
CAFor the junction network number of channel, the n is frame of video number in multimedia streaming data, and the m is picture group number, and the k is
Video frame type number, described α, β, γ are respectively intracoded frame, forward-predictive-coded frames, bi-directional predicted interpolation in picture group
Coded frame and group of pictures length ratio, the d are sender node to receiving terminal node distance, the dlFor via node spacing
From.
7. opportunistic Multimedia Dynamic cloud platform according to claim 1 and the transmission method of many relaying classification cooperations, its
It is characterised by：The residual memory space in high in the clouds described in the step S05 is more than nISI/NM, high in the clouds described in the step S06
Residual memory space be more than (nISI+nPSP)/NM, the residual memory space in high in the clouds described in the step S07 is more than (nISI+
nPSP+nBSB)/NM, the nIIt is intracoded frame number in multimedia streaming data, the nPIt is forward-predictive-coded frames number,
The nSIt is bi-directional predicted interpolation coding frame number, the SIIt is intraframe coding frame sign, the SPIt is that forward-predictive-coded frames are big
It is small, the SBIt is bi-directional predicted interpolation coding frame sign.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001352315A (en) * | 2000-04-10 | 2001-12-21 | Hyundai Electronics Ind Co Ltd | Data processing method for hybrid automatic repeat for request 2/3 system in downlink of broadband wireless communication system |
| US20020001296A1 (en) * | 2000-04-10 | 2002-01-03 | Yu-Ro Lee | Data transmission method for hybrid ARQ type II/III downlink of wide-band radio communication system |
| CN102333344A (en) * | 2011-10-31 | 2012-01-25 | 常熟理工学院 | Adaptive error control method applied to wireless sensor network |
| CN104301964A (en) * | 2014-10-21 | 2015-01-21 | 常熟市第一人民医院 | Self-adaptive opportunity cooperative control method based on combined forecasting |
-
2015
- 2015-04-23 CN CN201510197377.5A patent/CN104796793B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001352315A (en) * | 2000-04-10 | 2001-12-21 | Hyundai Electronics Ind Co Ltd | Data processing method for hybrid automatic repeat for request 2/3 system in downlink of broadband wireless communication system |
| US20020001296A1 (en) * | 2000-04-10 | 2002-01-03 | Yu-Ro Lee | Data transmission method for hybrid ARQ type II/III downlink of wide-band radio communication system |
| CN102333344A (en) * | 2011-10-31 | 2012-01-25 | 常熟理工学院 | Adaptive error control method applied to wireless sensor network |
| CN104301964A (en) * | 2014-10-21 | 2015-01-21 | 常熟市第一人民医院 | Self-adaptive opportunity cooperative control method based on combined forecasting |
Non-Patent Citations (1)
| Title |
|---|
| 《AEC-RSSI：一种基于通信距离的WSNs自适应差错控制策略》;靳勇等;《常熟理工学院学报》;20100430(第4期);全文 * |
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