CN103052093A - Link stability assessment method in VANET (Vehicular Ad-Hoc Network) - Google Patents
Link stability assessment method in VANET (Vehicular Ad-Hoc Network) Download PDFInfo
- Publication number
- CN103052093A CN103052093A CN2013100338901A CN201310033890A CN103052093A CN 103052093 A CN103052093 A CN 103052093A CN 2013100338901 A CN2013100338901 A CN 2013100338901A CN 201310033890 A CN201310033890 A CN 201310033890A CN 103052093 A CN103052093 A CN 103052093A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- link
- road
- vehicle node
- probability
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention relates to a link stability assessment method in a VANET (Vehicular Ad-Hoc Network). The link stability assessment method in the VANET comprises the following steps of: resolving the velocity vector between two vehicles into Vx at the parallel direction of a road and Vy at the vertical direction of a road; assessing the duration time delta t of a link formed between two vehicles according to the current distance d between two vehicles, the maximal wireless transmission distance of vehicle nodes as well as the current velocity Vx; and calculating the credibility for the assessed and calculated duration time. The link stability assessment method in the VANET can be used for selecting the next hop transmission node of a data package through calculating the stability of the link, and can be used for improving the link robustness, improving the throughput rate of the whole path, and reducing the transmission time delay of the data package.
Description
Technical field
The present invention relates to the wireless network communication technique field, particularly relate to the appraisal procedure of a kind of link stability under the VANET environment.
Background technology
VANET(VehicularAd-hocNETwork, vehicle self-organizing network) node motion speed is fast in, and network topology change is fast, and link ruptures easily, therefore we wish to find and a kind ofly can calculate the link Lifetime, and the method for this Lifetime confidence level.The method can be applied to Route Selection, improves the performance in whole piece path.
Route Selection is the key factor of wireless communication, and it has determined the throughput of network, and transmission delay directly affects the overall performance of network.This almost all has discussion at all in about the technical literature of Wireless Network Routing Protocol and research paper.Relevant document: LEE J W, CHUN C L, SHIH P T, " A hybrid traffic geographic routing withcooperative traffic information collection scheme in VANET ", 201113th International ConferenceonAdvanced Communication Technology (ICACT), Feb2011, pp.1496-1501.Hartenstein H andLaberteanx K P. " A tutorial survey on vehicular Ad hoc networks[J] " .IEEE CommunicationsMagazine, vol.46, no.6, pp.164-171,2008.
Along with becoming increasingly conspicuous of traffic problems, the transformation of traffic administration theory, the improvement of traffic policy and the application of using many technology such as intelligent transportation raising traffic, intelligent transport technology has become one of current Environment Science study hotspot field.An important component part as intelligent transportation system, Vehicle Ad-Hoc Network (VANET) enjoys world scholars' extensive concern always in recent years, and it is mobile ad-hoc network (MANET) and the concrete application of wireless sensor network (WSN) in intelligent transportation system.By method direct communication or multi-hop communications such as vehicle and vehicle (V2V), vehicle and wayside infrastructure (V2I), make up a self-organizing, dynamic, distributed control network.
Related documents: Chen Lijia, Jiang Hao, Wu waits quietly. and " Vehicle Ad-Hoc Network transmission control research ", Journal of Software, 2007,18 (6): 1477-1490.Wantanee Viriyasitavat, Fan Bai, Ozan K.Tonguz, " Dynamics of Network Connectivityin Urban Vehicular Networks ", IEEE Journal on Selected Areas in Communications, vol.29, no.3, Mar.2011.Yuchen Wu, Yanmin Zhu, Bo Li, " An Infrastructure-Assisted Routing in VehicularNetworks ", 2012Proceedings IEEE INFOCOM, Mar2012, pp.1485-1493.Nianbo Liu, Ming Liu, Guihai Chen, Jiannong Cao, " The Sharing at Roadside:Vehicular Content Distribution UsingParked Vehicles ", 2012Proceeding IEEE INFCOM, Mar.2012, pp.2641-2645.
At present, done large quantity research aspect the Route Selection of Chinese scholars in VANET, propose a lot of schemes and solved this problem, such as active Routing Protocol (optimized link state routing, OLSR), geographic routing agreement (geography source routing, GSR), and other Routing Protocols HTGR (hybrid traffic geographic routing), GPSR (greedy perimeter stateless routing), LAR (1ocaton-aided routing), RTRP (road andtraffic-aware routing protoco1).Yet, can provide the prerequisite of reliability services for vehicle network, namely the research of the connective aspect of VANET topology is also relatively less.
Related documents: B.Karp and H.Kung, " GPSR:Greedy perimeter stateless routing for wirelessnetworks ", Proc.6th Annu.Int.MobiCom, Aug.2000, pp.2315-2319.M.Jerbi, S.M.Senouci, T.Rasheed, Y.Ghamri-Doudane, " Towards Efficient Geographic Routing in Urban VehicularNetworks ", IEEE Transaction onvehicular Technology, vol.58, no.9, pp.5048-5059, Nov.2009.Xiaojun Feng, Jin Zhang, and Qian Zhang, " Trajectory-Assisted Delay-Bounded Routing withMoving Receivers in Vehicular Ad-hoc Networks ", Proceedingsofthe Nineteenth InternationalWorkshop on Quality of Service, ACM, Jun.2011, pp.1-3.Ruobing Jiang, Yanmin Zhu, " Coverage-aware Geocast Routing in Urban Vehicular Networks ", 2012IEEE26th InternationalParallel and Distributed Processing Symposium Workshops﹠amp; PhD Forum (IPDPSW), May2012, pp.2522-2525.
Summary of the invention
For the problems referred to above, the present invention proposes the appraisal procedure of a kind of link stability under the VANET environment.
A kind of VANET link stability assessment method provided by the invention may further comprise the steps:
One, vehicle node speed is decomposed into the road parallel direction and with the road vertical direction;
Two, the functional relation of establishing vehicle node and time t is,
Wherein, v
IxBe car speed decompose with the amount of road horizontal direction, v
IyBe car speed decompose with the amount of road vertical direction, θ
iIt is the angle of car speed and road horizontal direction; x
i(0) expression vehicle t
0The time be engraved in position on the road horizontal direction, y
i(0) expression vehicle t
0The time be engraved in position on the road vertical direction; x
iBe engraved in the position on the road horizontal direction when (t) representing vehicle t, y
iBe engraved in the position on the road vertical direction when (t) representing vehicle t;
Three, carry out the calculating of link duration, comprise according to the relative velocity v between two vehicle node, relative displacement d, calculating link duration T=(R-d)/and v, wherein R is the wireless transmission distance of vehicle node maximum;
Four, definition s (L
i, t
0, Δ t) and expression t
0Moment link L
iUnder the condition that exists, L
iAt t
0+ Δ t the moment is effective probability still, the stability S of path P (P, t
0, Δ t) and be illustrated in t
0The transmission path P that constantly sets up is at t
0The probability that+Δ t still is communicated with constantly;
Five, in the vehicle-mounted self-organizing network of definition between two cars probability density function and the cumulative function at interval be respectively f
g(x)=λ e
-λ xAnd F
g(x)=1-e
-λ x, λ=σ/Ev wherein, σ is the arrival rate that vehicle crosses a certain section on the street, Ev is the average speed of all vehicles;
Six, being located at long is to have the probability P of n vehicle node to obey Poisson distribution in the highway section of L, and expression formula is as follows,
Wherein, X is the quantity of vehicle node, and P (X=n) refers to that the quantity of vehicle node is the probability of n;
Seven, be located at the probability P that there is at least a vehicle node in the vehicle node transmission range with as follows apart from the relational expression of d,
P=1-P(X=0)
=1-e
-λd
Eight, obtain two vehicle node and form link L
iStability be s (L
i, t
0, Δ t)=P
0, wherein
d
0T between two cars
0Distance constantly.
Vehicle-mounted net is to transmit packet and select next-hop node as transmission node with the vehicle in the road, realizes self-organizing and certainly management.Because the vehicle node movement velocity is fast, and the mobile road constraint etc. of being subjected to affects, so that the link that forms ruptures easily, affects greatly the transmission of packet in vehicle-mounted net.The link stability is to weigh the key factor of route robustness and reliability.The present invention is directed to the computational methods that Based on Probability thought under the VANET environment has proposed the link stability.Can be used for selecting according to the stability of calculating the expection link down hop transmission node of packet, improve the robustness of link, reach the throughput that improves the whole piece path and the transmission delay that reduces packet.
Description of drawings
Fig. 1 is the vehicle movement schematic diagram of the embodiment of the invention;
Fig. 2 is that the data of the embodiment of the invention are transmitted schematic diagram.
Embodiment
Technical solution of the present invention can adopt the computer software flow process to realize automatically operation in the specific implementation.Describe technical solution of the present invention in detail below in conjunction with drawings and Examples.
Embodiment provides VANET link stability assessment method may further comprise the steps:
One, with vehicle node speed by shown in Figure 1 be decomposed into the road horizontal direction and with the road vertical direction.Among Fig. 1, d is the distance between two cars, v
iBe the speed of vehicle, θ represents the angle of two car relative velocities and road horizontal direction, v
IxBe car speed decompose with the amount of road horizontal direction, v
IyBe car speed decompose with the amount of road vertical direction.
Two, the functional relation of establishing vehicle node and time t is:
v
IxBe car speed decompose with the amount of road horizontal direction, v
IyBe car speed decompose with the amount of road vertical direction, θ
iIt is the angle of car speed and road horizontal direction.x
i(0) expression vehicle t
0The time be engraved in position on the road horizontal direction, y
i(0) expression vehicle t
0The time be engraved in position on the road vertical direction.x
iBe engraved in the position on the road horizontal direction when (t) representing vehicle t, y
iBe engraved in the position on the road vertical direction when (t) representing vehicle t.
Three, carry out the calculating of link duration.Comprise according to the relative velocity v between two vehicle node, relative displacement d, calculating link duration T=(R-d)/and v, wherein R is the wireless transmission distance of vehicle node maximum.
Four, definition link L
iStability s (L
i, t
0, Δ t) and expression t
0Moment link L
iUnder the condition that exists, L
iAt t
0+ Δ t the moment is effective probability still.The stability S of path P (P, t
0, Δ t) and be illustrated in t
0The transmission path P that constantly sets up is at t
0The probability that+Δ t still is communicated with constantly.
Five, in the vehicle-mounted self-organizing network of definition between any two cars probability density function and the cumulative function at interval be respectively f
g(x)=λ e
-λ xAnd F
g(x)=1-e
-λ x, λ=σ/Ev wherein, σ are that vehicle crosses that the arrival rate of a certain section is that what cars per minute has through this section on the street.Ev is the over-all velocity of all vehicles.X is the distance between two cars.
Six, being located at long is to have the probability P of n vehicle node to obey Poisson distribution in the highway section of L, and expression formula is as follows:
Wherein, X is the quantity of vehicle node, and P (X=n) refers to that the quantity of vehicle node is the probability of n.
Seven, it is as follows to be located at the relational expression of the probability P that has at least a vehicle node in the vehicle node transmission range and distance:
P=1-P(X=0)
=1-e
-λd
D is the distance between two vehicle node, i.e. distance between two cars, relative displacement.
Eight, obtaining the stability that two vehicle node form link is s (L
i, t
0, Δ t)=P
0, wherein
d
0T between two cars
0Distance constantly.
The present invention mainly obtains following two step results:
(1) prediction of path duration.
(2) calculating of link stability.
In the step (1), embodiment resolves into the velocity vector between two cars and road parallel direction V
xWith with road vertical direction V
yLike this, according to the wireless transmission distance R of the current distance d between two cars and vehicle node maximum and current speed V
x, we can estimate to form between two cars duration Δ t of link.Step (2) is carried out the calculating of confidence level to the duration that estimates in the step (1).
The implementation procedure that below describes respectively (1) and (2) among the embodiment in detail is as follows:
(1) prediction of path duration
Suppose that the distance between two vehicle node is d, the intensity of signal is only relevant with the transmission range of signal.So at a time, link keep to be communicated with only need between two nodes apart from d less than internodal maximum wireless transmission range R.But suppose to carve at a time direct communication between node i, the j, and the position of known node i is (x
i, y
i), speed v
iBecome θ with two car line directions
iAngle,
Then the displacement computing formula of vehicle node i is:
In like manner, the position (x of definable vehicle node j
j, y
j), speed v
j, then can calculate two car relative displacement d, two nodes keep the time T of link=(R-d)/v so, and wherein v is the relative velocity between two nodes.Two-site model is expanded to the Lifetime that the whole piece path just can get outbound path.
(2) calculating of link stability
Link L
iStability, definition s (L
i, t
0, Δ t) and be illustrated in t
0Moment link L
iUnder the condition that exists, L
iAt t
0+ Δ t the moment is effective probability still.The stability S of path P (P, t
0, Δ t) and expression t
0The transmission path P that constantly sets up is at t
0The probability that+Δ t still is communicated with constantly.
When vehicle freely when highway travels, the spacing distance between vehicle is obeys index distribution.So can followingly express apart from d between two cars:
f(d)=λe
-λd
Wherein, λ is the density of wagon flow.
Suppose that R is the maximum wireless transmission range of vehicle node.The probability FR, the λ that are communicated with of two cars then) available following formula calculates:
Supposing has m car in length is the one-way road of L, m-1 workshop fragment then just arranged between this m car, and the link that is comprised of this m car so is if be communicated with, and then distance is less than maximum transmitted scope R between two cars between per two cars in this link.The probability expression that this link is communicated with is as follows, and m can round approximate calculation with L/R here.
In vehicle-mounted self-organizing network, probability density function and cumulative function that embodiment defines interval between two cars are respectively f
g(x)=λ e
-λ xAnd F
g(x)=1-e
-λ x, λ=σ/Ev wherein, σ are that vehicle crosses that the arrival rate of a certain section is that what cars per minute has through this section on the street.Ev is the average speed of vehicle.The highway section (0, L] in the probability P of n node is arranged is to obey Poisson distribution.Expression formula is as follows:
Dist (n among Fig. 2
1, n
2) be two vehicle node n
1And n
2Between distance, R is the maximum wireless transmission range of vehicle node.Solid circles is centered by a phop among Fig. 2, and R is the circle of radius.Node n
1Apart from the nearest node of destination node and be apart from phop node farthest in node phop transmission range.
Suppose n
1, n
2Between can not direct communication, make n
1, n
2Between can be communicated with n then
1, n
2Between a via node n will be arranged at least
xBy poisson distribution formula as can be known, n
1, n
2Between have at least the probability P of a node to be:
N wherein
xN
1, n
2Between node, n then
1, n
xBetween the probability P that is communicated with
0With distance d (n
1, n
x) following relation arranged:
Link Lifetime then
V is the vehicle relative velocity.So link is at t
0+ Δ t constantly still effectively probability also be P
0, i.e. link L
iStability s (L
i, t
0, Δ t)=P
0
Specific embodiment described herein only is to the explanation for example of the present invention's spirit.Those skilled in the art can make various modifications or replenish or adopt similar mode to substitute described specific embodiment, but can't depart from spirit of the present invention or surmount the defined scope of appended claims.
Claims (1)
1. a VANET link stability assessment method is characterized in that, may further comprise the steps:
One, vehicle node speed is decomposed into the road parallel direction and with the road vertical direction;
Two, the functional relation of establishing vehicle node and time t is,
Wherein, v
IxBe car speed decompose with the amount of road horizontal direction, v
IyBe car speed decompose with the amount of road vertical direction, θ
iIt is the angle of car speed and road horizontal direction; x
i(0) expression vehicle t
0The time be engraved in position on the road horizontal direction, y
i(0) expression vehicle t
0The time be engraved in position on the road vertical direction; x
iBe engraved in the position on the road horizontal direction when (t) representing vehicle t, y
iBe engraved in the position on the road vertical direction when (t) representing vehicle t;
Three, carry out the calculating of link duration, comprise according to the relative velocity v between two vehicle node, relative displacement d, calculating link duration T=(R-d)/and v, wherein R is the wireless transmission distance of vehicle node maximum;
Four, definition s (L
i, t
0, Δ t) and expression t
0Moment link L
iUnder the condition that exists, L
iAt t
0+ Δ t the moment is effective probability still, the stability S of path P (P, t
0, Δ t) and be illustrated in t
0The transmission path P that constantly sets up is at t
0The probability that+Δ t still is communicated with constantly;
Five, in the vehicle-mounted self-organizing network of definition between two cars probability density function and the cumulative function at interval be respectively f
g(x)=λ e
-λ xAnd F
g(x)=1-e
-λ x, λ=σ/Ev wherein, σ is the arrival rate that vehicle crosses a certain section on the street, Ev is the average speed of all vehicles;
Six, being located at long is to have the probability P of n vehicle node to obey Poisson distribution in the highway section of L, and expression formula is as follows,
Wherein, X is the quantity of vehicle node, and P (X=n) refers to that the quantity of vehicle node is the probability of n;
Seven, be located at the probability P that there is at least a vehicle node in the vehicle node transmission range with as follows apart from the relational expression of d,
P=1-P(X=0)
=1-e
-λd
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2013100338901A CN103052093A (en) | 2013-01-29 | 2013-01-29 | Link stability assessment method in VANET (Vehicular Ad-Hoc Network) |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2013100338901A CN103052093A (en) | 2013-01-29 | 2013-01-29 | Link stability assessment method in VANET (Vehicular Ad-Hoc Network) |
Publications (1)
Publication Number | Publication Date |
---|---|
CN103052093A true CN103052093A (en) | 2013-04-17 |
Family
ID=48064564
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2013100338901A Pending CN103052093A (en) | 2013-01-29 | 2013-01-29 | Link stability assessment method in VANET (Vehicular Ad-Hoc Network) |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103052093A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103475715A (en) * | 2013-09-10 | 2013-12-25 | 镇江青思网络科技有限公司 | VANET data transmission protocol based on delay estimation |
CN104598727A (en) * | 2015-01-07 | 2015-05-06 | 哈尔滨工业大学 | Urban road environment-oriented link time-delay dynamic predication method of V2V in VANETs (Vehicular Ad Hoc Networks) in consideration of intersection |
CN105553780A (en) * | 2016-01-08 | 2016-05-04 | 同济大学 | Method for deducing vehicular infrastructure-based connectivity model in urban scene |
CN109284855A (en) * | 2018-07-25 | 2019-01-29 | 同济大学 | The prediction measures model of intensity is connected between the vehicle node analyzed based on car networking space-time data in City scenarios |
CN111615060A (en) * | 2020-04-29 | 2020-09-01 | 西安理工大学 | Regional multicast method based on bus track and positioning information |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101639979A (en) * | 2009-08-21 | 2010-02-03 | 电子科技大学 | Vehicle-mounted self-organizing network communication system for vehicle parking assistance |
CN102137462A (en) * | 2011-04-19 | 2011-07-27 | 西安电子科技大学 | Prediction-based routing method at intersection in vehicle self-organizing network |
-
2013
- 2013-01-29 CN CN2013100338901A patent/CN103052093A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101639979A (en) * | 2009-08-21 | 2010-02-03 | 电子科技大学 | Vehicle-mounted self-organizing network communication system for vehicle parking assistance |
CN102137462A (en) * | 2011-04-19 | 2011-07-27 | 西安电子科技大学 | Prediction-based routing method at intersection in vehicle self-organizing network |
Non-Patent Citations (1)
Title |
---|
葛明珠等:: ""车载网中一种基于链路稳定度的路由方法"", 《INFORMATION TECHNOLOGY.信息技术.网络通信》, 30 September 2012 (2012-09-30), pages 76 - 79 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103475715A (en) * | 2013-09-10 | 2013-12-25 | 镇江青思网络科技有限公司 | VANET data transmission protocol based on delay estimation |
CN104598727A (en) * | 2015-01-07 | 2015-05-06 | 哈尔滨工业大学 | Urban road environment-oriented link time-delay dynamic predication method of V2V in VANETs (Vehicular Ad Hoc Networks) in consideration of intersection |
CN104598727B (en) * | 2015-01-07 | 2017-08-25 | 哈尔滨工业大学 | The V2V chain-circuit time delay dynamic prediction method towards in the VANETs of urban road environmental consideration intersection |
CN105553780A (en) * | 2016-01-08 | 2016-05-04 | 同济大学 | Method for deducing vehicular infrastructure-based connectivity model in urban scene |
CN105553780B (en) * | 2016-01-08 | 2018-10-26 | 同济大学 | There is the car networking connectivity modeling deduction method of infrastructure in a kind of City scenarios |
CN109284855A (en) * | 2018-07-25 | 2019-01-29 | 同济大学 | The prediction measures model of intensity is connected between the vehicle node analyzed based on car networking space-time data in City scenarios |
CN109284855B (en) * | 2018-07-25 | 2021-10-29 | 同济大学 | Prediction measurement model of communication strength between vehicle nodes based on analysis of vehicle networking spatiotemporal data in urban scene |
CN111615060A (en) * | 2020-04-29 | 2020-09-01 | 西安理工大学 | Regional multicast method based on bus track and positioning information |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Khakpour et al. | Using clustering for target tracking in vehicular ad hoc networks | |
Dixit et al. | VANET: Architectures, research issues, routing protocols, and its applications | |
Eiza et al. | Investigation of routing reliability of vehicular ad hoc networks | |
Kaur et al. | The importance of selecting clustering parameters in VANETs: A survey | |
CN105376152B (en) | A kind of more candidate compound relay data transmission methods in In-vehicle networking | |
Mostafa et al. | A probabilistic routing by using multi-hop retransmission forecast with packet collision-aware constraints in vehicular networks | |
Khan et al. | A multi-hop moving zone (MMZ) clustering scheme based on cellular-V2X | |
Xu et al. | QoS evaluation of VANET routing protocols | |
Singh et al. | Simulation based analysis of adhoc routing protocol in urban and highway scenario of VANET | |
Yogarayan et al. | A review of routing protocols for vehicular ad-hoc networks (VANETs) | |
CN109600715B (en) | Internet of vehicles V2X communication auxiliary file downloading method | |
Yan et al. | Reliable routing in vehicular ad hoc networks | |
Chen et al. | HarpiaGrid: A Geography-Aware Grid-based Routing Protocol for Vehicular Ad Hoc Networks. | |
Kugali et al. | Vehicular ADHOC network (VANET):-a brief knowledge | |
CN103052093A (en) | Link stability assessment method in VANET (Vehicular Ad-Hoc Network) | |
Prasanth et al. | Improved packet forwarding approach in Vehicular ad hoc networks using RDGR algorithm | |
Benamar et al. | Recent study of routing protocols in VANET: survey and taxonomy | |
Yadav et al. | Secure and reliable routing protocols for VANETs | |
Dhiman et al. | A comparative study of position based routing protocols in VANETs | |
CN110248392B (en) | Opportunity forwarding method based on node efficiency in Internet of vehicles | |
Ali et al. | An intelligent routing protocol for VANETs in city environments | |
Ho et al. | Emergency application for vehicle-to-vehicle communication using named data networking (eVNDN) | |
Jaiswal et al. | Hybrid approach for routing in vehicular ad-hoc network (VANET) using clustering approach | |
Wu et al. | MEDAL: A moving direction and destination location based routing algorithm for vehicular ad hoc networks | |
Nakamura et al. | A method for improving data delivery efficiency in delay tolerant vanet with scheduled routes of cars |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130417 |