TrafficGather: An Efficient and Scalable Data Collection Protocol for Vehicular Ad Hoc Networks Wang-Rong Chang Department of Electrical Engineering, National.

Slides:



Advertisements
Similar presentations
Connectivity-Aware Routing (CAR) in Vehicular Ad Hoc Networks Valery Naumov & Thomas R. Gross ETH Zurich, Switzerland IEEE INFOCOM 2007.
Advertisements

The Selective Intermediate Nodes Scheme for Ad Hoc On-Demand Routing Protocols Yunjung Yi, Mario gerla and Taek Jin Kwon ICC 2002.
Urban Multi-Hop Broadcast Protocol for Inter-Vehicle Communication Systems Δημόκας Νικόλαος Data Engineering Laboratory, Aristotle University of Thessaloniki.
CSLI 5350G - Pervasive and Mobile Computing Week 6 - Paper Presentation “Exploiting Beacons for Scalable Broadcast Data Dissemination in VANETs” Name:
Tufts Wireless Laboratory Tufts University School Of Engineering Energy-Efficient Structuralized Clustering for Sensor-based Cyber Physical Systems Jierui.
CSLI 5350G - Pervasive and Mobile Computing Week 3 - Paper Presentation “RPB-MD: Providing robust message dissemination for vehicular ad hoc networks”
1 An Energy-Efficient Unequal Clustering Mechanism for Wireless Sensor Networks Chengfa Li, Mao Ye, Guihai Chen State Key Laboratory for Novel Software.
Fastest-Vehicle Multi-hop Routing in Vehicular Ad hoc Networks 指導教授:許子衡 教授 報告學生:董藝興 學生 作者: Bilal, M. ; Chan, P.M.L. ; Pillai, P. ; 出處: Computer and Information.
A Mobile Infrastructure Based VANET Routing Protocol in the Urban Environment School of Electronics Engineering and Computer Science, PKU, Beijing, China.
A Low-Cost Flooding Algorithm for Wireless Sensor Networks Department of Electrical and Computer Systems Engineering Monash University,
Cooperative protocols for wireless vehicular communication
Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.
Self Organization and Energy Efficient TDMA MAC Protocol by Wake Up For Wireless Sensor Networks Zhihui Chen; Ashfaq Khokhar ECE/CS Dept., University of.
Di Wu 03/03/2011 Geographic Routing in Clustered Multi-layer Vehicular Ad Hoc Networks for Load Balancing Purposes.
1 Measure and model vehicular- to-infrastructure communication.
Scalable and Distributed GPS free Positioning for Sensor Networks Rajagopal Iyengar and Biplab Sikdar Department of ECSE, Rensselaer Polytechnic Institute.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2007 (TPDS 2007)
M-GEAR: Gateway-Based Energy-Aware Multi-Hop Routing Protocol
A Framework for Energy- Saving Data Gathering Using Two-Phase Clustering in Wireless Sensor Networks Wook Chio, Prateek Shah, and Sajal K. Das Center for.
A Multi-Channel MAC Protocol for Wireless Sensor Networks Chen xun, Han peng, He qiu-sheng, Tu shi-liang, Chen zhang-long The Sixth IEEE International.
Multimedia & Networking Lab
Cloud-Assisted Gateway Discovery for Vehicular Ad Hoc Networks Yen-Wen Lin, Jie-Min Shen, and Hao-Jun Weng Department of Computer and Information Science,
Minimal Hop Count Path Routing Algorithm for Mobile Sensor Networks Jae-Young Choi, Jun-Hui Lee, and Yeong-Jee Chung Dept. of Computer Engineering, College.
F Networked Embedded Applications and Technologies Lab Department of Computer Science and Information Engineering National Cheng Kung University, TAIWAN.
Tonghong Li, Yuanzhen Li, and Jianxin Liao Department of Computer Science Technical University of Madrid, Spain Beijing University of Posts & Telecommunications.
A Dedicated Multi-channel MAC Protocol Design for VANET with Adaptive Broadcasting Ning Lu 1, Yusheng Ji 2, Fuqiang Liu 1, and Xinhong Wang 1 1 Dept. of.
November 4, 2003APOC 2003 Wuhan, China 1/14 Demand Based Bandwidth Assignment MAC Protocol for Wireless LANs Presented by Ruibiao Qiu Department of Computer.
A study of Intelligent Adaptive beaconing approaches on VANET Proposal Presentation Chayanin Thaina Advisor : Dr.Kultida Rojviboonchai.
Improving Routing in Sensor Networks with Heterogeneous Sensor Nodes Xiaojiang Du & Fengjing Lin Vehicular Technology Conference,2005 Spring,Volume 4.
Connectivity-Aware Routing (CAR) in Vehicular Ad Hoc Networks Valery Naumov & Thomas R. Gross ETH Zurich, Switzerland IEEE INFOCOM 2007.
1 An Information Propagation Scheme for VANETs 學生: 簡志閔 彭彥能 黃尚文 Thomas D.C. Little, Senior Member, IEEE, and Ashish Agarwal,
Collision-free Time Slot Reuse in Multi-hop Wireless Sensor Networks
An Energy-Efficient MAC Protocol for Wireless Sensor Networks Qingchun Ren and Qilian Liang Department of Electrical Engineering, University of Texas at.
TOPOLOGY MANAGEMENT IN COGMESH: A CLUSTER-BASED COGNITIVE RADIO MESH NETWORK Tao Chen; Honggang Zhang; Maggio, G.M.; Chlamtac, I.; Communications, 2007.
A Dead-End Free Topology Maintenance Protocol for Geographic Forwarding in Wireless Sensor Networks IEEE Transactions on Computers, vol. 60, no. 11, November.
MMAC: A Mobility- Adaptive, Collision-Free MAC Protocol for Wireless Sensor Networks Muneeb Ali, Tashfeen Suleman, and Zartash Afzal Uzmi IEEE Performance,
TDMA Slot Reservation in Cluster-Based VANET Ph.D. Gathering By Mohammad S. Almalag Advisor Michele C. Weigle Department of Computer Science Old Dominion.
Self Organization and Energy Efficient TDMA MAC Protocol by Wake Up for Wireless Sensor Networks Zhihui Chen and Ashfaq Khokhar ECE Department, University.
VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks
Thesis Presentation Chayanin Thaina Advisor : Asst.Prof. Dr. Kultida Rojviboonchai.
Optimizing CASCADE Data Aggregation for VANETs Khaled Ibrahim and Michele C. Weigle Department of Computer Science, Old Dominion University MASS 2008.
Kun-chan Lan and Chien-Ming Chou National Cheng Kung University
A Multi-Channel Cooperative MIMO MAC Protocol for Wireless Sensor Networks(MCCMIMO) MASS 2010.
Ching-Ju Lin Institute of Networking and Multimedia NTU
An Improved Vehicular Ad Hoc Routing Protocol for City Environments Moez Jerbi, Sidi-Mohammed Senouci, and Rabah Meraihi France Telecom R&D, Core Network.
Po-Yu Chen, Zan-Feng Kao, Wen-Tsuen Chen, Chi-Han Lin Department of Computer Science National Tsing Hua University IEEE ICPP 2011 A Distributed Flow-Based.
RPB-MD: A Novel Robust Message Dissemination Method for VANETs Congyi Liu and Chunxiao Chigan Michigan Technological University GLOBECOM 2008.
Data Dissemination Based on Ant Swarms for Wireless Sensor Networks S. Selvakennedy, S. Sinnappan, and Yi Shang IEEE 2006 CONSUMER COMMUNICATIONS and NETWORKING.
指導教授:許子衡 教授 報告學生:馬敏修 2010/11/ Introduction 2. Proposed system  System assumptions  Dissemination strategies  Overcoming fragmentation  Updating.
Mitigating starvation in Wireless Ad hoc Networks: Multi-channel MAC and Power Control Adviser : Frank, Yeong-Sung Lin Presented by Shin-Yao Chen.
2010 IEEE Fifth International Conference on networking, Architecture and Storage (NAS), pp , 2010 作者: Filip Cuckov and Min Song 指導教授:許子衡 教授 報告學生:馬敏修.
A Cooperative Multi-Channel MAC Protocol for Wireless Networks IEEE Globecom 2010 Devu Manikantan Shila, Tricha Anjali and Yu Cheng Dept. of Electrical.
A Cluster Based On-demand Multi- Channel MAC Protocol for Wireless Multimedia Sensor Network Cheng Li1, Pu Wang1, Hsiao-Hwa Chen2, and Mohsen Guizani3.
A Bandwidth Scheduling Algorithm Based on Minimum Interference Traffic in Mesh Mode Xu-Yajing, Li-ZhiTao, Zhong-XiuFang and Xu-HuiMin International Conference.
A Protocol for Tracking Mobile Targets using Sensor Networks H. Yang and B. Sikdar Department of Electrical, Computer and Systems Engineering Rensselaer.
Black-Burst-Based Multihop Broadcast Protocols for Vehicular Networks Gökhan Korkmaz, Eylem Ekici, and Füsun Özgüner Member, IEEE IEEE TVT 2007.
Fen Hou 、 Lin X. Cai, University of Waterloo Xuemin Shen, Rutgers University Jianwei Huang, Northwestern University IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,
I-Hsin Liu1 Event-to-Sink Directed Clustering in Wireless Sensor Networks Alper Bereketli and Ozgur B. Akan Department of Electrical and Electronics Engineering.
An efficient reliable broadcasting protocol for wireless mobile ad hoc networks Chih-Shun Hsu, Yu-Chee Tseng, Jang-Ping Sheu Ad Hoc Networks 2007, vol.
A Bit-Map-Assisted Energy- Efficient MAC Scheme for Wireless Sensor Networks Jing Li and Georgios Y. Lazarou Department of Electrical and Computer Engineering,
A Two-Tier Heterogeneous Mobile Ad Hoc Network Architecture and Its Load-Balance Routing Problem C.-F. Huang, H.-W. Lee, and Y.-C. Tseng Department of.
On Mobile Sink Node for Target Tracking in Wireless Sensor Networks Thanh Hai Trinh and Hee Yong Youn Pervasive Computing and Communications Workshops(PerComW'07)
Cluster-Adaptive Two-Phase Coding Multi-Channel MAC Protocol (CA-TPCMMP) for MANETs 1 Lili Zhang, 1 Boon-Hee Soong, and 2 Wendong Xiao 1 School of Electrical.
Mobile Networks and Applications (January 2007) Presented by J.H. Su ( 蘇至浩 ) 2016/3/21 OPLab, IM, NTU 1 Joint Design of Routing and Medium Access Control.
National Taiwan University Department of Computer Science and Information Engineering Vinod Namboodiri and Lixin Gao University of Massachusetts Amherst.
A Spatial-based Multi-resolution Data Dissemination Scheme for Wireless Sensor Networks Jian Chen, Udo Pooch Department of Computer Science Texas A&M University.
Performance Evaluation of Scheduling in IEEE based Wireless Mesh Networks Bo Han, Weijia Jia,and Lidong Lin Computer Communications, 2007 Mei-zhen.
Scalable and Distributed GPS free positioning for Sensor Networks Rajagopal Iyengear and Biplab Sikdar IEEE International Conference on Communications.
An Efficient Routing Protocol for Green Communications in Vehicular Ad-hoc Networks Jamal Toutouh, Enritue Alba GECCO’ 11, July Presented by 劉美妙.
A Distributed Clustering Scheme For Underwater Sensor Networks
Presentation transcript:

TrafficGather: An Efficient and Scalable Data Collection Protocol for Vehicular Ad Hoc Networks Wang-Rong Chang Department of Electrical Engineering, National Cheng Kung University, Taiwan Hui-Tang Lin, Bo-Xuan Chen Institute of Computer and Communication Engineering, National Cheng- Kung University, Taiwan IEEE Consumer Communications & Networking Conference ( CCNC ) 2008

Outline Introduction Overview TrafficGather Data Collection Protocol Simulation Conclusions

Introduction Nowadays, vehicles have become an indispensable part of modern life. Inter-Vehicle Communication (IVC) has attracted considerable attention from both academia and industry. IVC is a powerful tool for promoting road safety and commercial applications in vehicular ad hoc networks (VANets). One of the primary applications of IVC is the provision of road traffic information. Traffic jams to emergency vehicles such as ambulances, fire engines, police vehicles, paramedics.

Introduction Recently, many researchers have proposed IVC Medium Access Control (MAC) protocols for vehicular ad hoc networks (VANets). Self-organizing scheme vehicles can subdivides the road on demand each cluster-head collect data in cluster each cluster-head can negotiate the traffic information each other the direction of vehicles i cluster 1cluster 2

Introduction In the scheme, the data collection will suffer from many message collision. i the direction of vehicles i

Introduction the paper proposed a efficient data collection protocol for VANET. To avoid the message collisions To reduce the message collection time i

Network Assumptions Each vehicle equips a GPS and digital map. Minimum vehicle length is L s meters. Each vehicle communication range is R. The number of lanes is M.

Overview A RM When Vehicle A want to acquire traffic information, the Vehicle A will broadcast the Request Message (RM). B C D EF G H I J the direction of vehicles

Overview RM The RM will be forwarded by vehicle which is downstream direction and the farthest from the source A B C D EF G H I J the direction of vehicles

Overview RM A B C D EF G H I J the direction of vehicles The RM will be forwarded by vehicle which is downstream direction and the farthest from the source

Overview To find the appropriate cluster-head candidates among the vehicles and then to subdivide the network into a series of contiguous cluster. A B C D EF G H I J the direction of vehicles Cluster 0Cluster 1 CV 0RV 0CV 1 CV: Cluster-head Vehicle RV: Relay Vehicle

Overview A B C D I J the direction of vehicles Cluster 0 CV 0 A Road Section Lane(j) Segment(i) To avoid the message collisions

Overview A B C D I J the direction of vehicles Cluster 0 CV 0 A Road Section Lane(j) Segment(i)

TrafficGather Data Collection Protocol Phase I: Network Configuration Phase Clustered organization scheme Organization termination scheme Phase II: Data Collection Phase Intra-Cluster Space Division TDMA access control algorithm Cluster synchronization scheme Phase III: Data Retrieval Phase

Phase I: Network Configuration Phase Clustered organization scheme Request Message MT (1-bit)CV-IDMD (2-bit)GP Indicate the RM broadcasted by a CV or a RV MT = 0: from CV MT = 1: from RV Contain the ID of vehicle which is current CV Indicate the transmission direction of the RM RM = 01 downstream direction RM = 10 upstream direction RM = 11 both direction GPS position of the CV which issued the RM

Phase I: Network Configuration Phase A RM B C D EF G H I J the direction of vehicles CV GPS_A When Vehicle A want to acquire traffic information, the Vehicle A will broadcast the Request Message (RM).

Phase I: Network Configuration Phase A B C D EF G H I J the direction of vehicles B,C,D 可經由 RM 與自己的 GPS 得知自己在 A 的 downstream direction ,並 把自己設為 Cluster 0

Phase I: Network Configuration Phase A B C D EF G H I J the direction of vehicles Waiting time threshold = 1/ distance between the position of itself and the position of CV 0 WM

Phase I: Network Configuration Phase A B C D EF G H I J the direction of vehicles WM B, C will concede defeat and take no action.

TrafficGather Data Collection Protocol A B C D EF G H I J the direction of vehicles Because vehicle D win the race and MT = 0, the vehicle D become a RV RV 0

TrafficGather Data Collection Protocol A B C D EF G H I J the direction of vehicles RV 0 RM 1RV 001GPS_D RV 0 reset the RM and forward the RM

Phase I: Network Configuration Phase RM A B C D EF G H I J the direction of vehicles CV 1 CV 1 reset the RM and forward the RM 0CV 101GPS_F

Phase I: Network Configuration Phase RM A B C D EF G H I J the direction of vehicles RV 1 Organization termination scheme When G located outside of this data collection range to RM, it will ignore the RM

Phase I: Network Configuration Phase A B C D EF G H I J the direction of vehicles Cluster 0Cluster 1 CV 0RV 0 CV: Cluster-head Vehicle RV: Relay Vehicle CV 1 Phase I completion

Phase II: Data Collection Phase A B C D I J the direction of vehicles Cluster 0 CV 0 A Road Section Segment(i) (0 <= i <= N-1) Intra-Cluster Space Division N = 2R / L s ( R = 17.5m, L s = 5m)

Phase II: Data Collection Phase A B C D I J the direction of vehicles Cluster 0 CV 0 A Road Section Lane(j) Intra-Cluster Space Division Segment(i) (0 <= i <= N-1)N = 2R / L s ( R = 17.5m, L s = 5m)

Phase II: Data Collection Phase A B C D I J the direction of vehicles Cluster 0 CV 0 A Road Section Lane(j) Segment(i) δ = i + j * N + 1 Intra-Cluster Space Division

Phase II: Data Collection Phase A B C D I J the direction of vehicles CV 0 Lane(j) Segment(i) TDMA access control algorithm (TACA) x y GPS ICV 0

Phase II: Data Collection Phase A B C D I J the direction of vehicles Lane(j) Segment(i) The RV 0 will occur collision RV CV 0 CV 1 7

Phase II: Data Collection Phase Cluster synchronization scheme T is the time index when Phase I terminated ( according to the distance ) Δis the collection time for a cluster = M * N * t

Phase II: Data Collection Phase A B C D I J the direction of vehicles CV 0 Lane(j) Segment(i) The CV 0 will sends a “HELLO” message to all cluster member to collect their traffic informations. HELLO

Phase II: Data Collection Phase A B C D I J the direction of vehicles CV 0 Lane(j) Segment(i) The CV 0 will sends a “HELLO” message to all cluster member to collect their traffic informations.

Phase III: Data Retrieval Phase The current study adopts a flooding strategy to retrieval the traffic information.

Simulation L s = 5 m ( for all vehicles ) Velocity for each vehicle is randomly generated with a uniform distribution within the interval U[36, 37] Goodput = the number of information messages received by all of the CVs / the total number of vehicles on the road.

Simulation

Conclusions This paper has presented a data gathering mechanism for VANets based on a self-organizing cluster networking approach. The proposed protocol, designated as TrafficGather, achieves collision-free transmissions and therefore improves the efficiency and accuracy of gathering the traffic information on the road.

Thank you