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A Comprehensive Study on
Multi-hop Ad hoc Networking and Applications:
              MANET and VANET


          Joarder Mohammad Mustafa Kamal
              M.Res. Dissertation Defence
                Staffordshire University
                  September 16, 2010
Introduction




• Multi-hopping with relay nodes   • Decentralised coordination
• Network resource sharing         • Infrastructure less
01/08/2011                                                        2
Research Challenges

•   General-purpose multi-hop ad hoc network
•   Scalability and Interoperability
•   Mobility and Internet – Applications and Scenarios
•   Transport layer protocols – TCP/UDP enhancements
•   Wireless PHY and MAC enhancements
•   Suitable routing protocols
•   Cross-layer protocol interactions
•   Power and bandwidth consumption


                       Realism of reality

01/08/2011                                               3
Aim and Objectives
• Aim
• Real-life implementation and experimentations of Multi-hop
  Ad hoc Network and its variations
• Develop a new ITS/WAVE network architecture based on
  mobility prediction utilising the vehicular ad hoc networking

• Objectives
• Real-life Experimentations Vs. Simulation – Real MANET
• Propose guidelines for realistic simulation and analysis
• Explore and in-detail analysis of VANET/ITS/WAVE architecture
  and realistic simulations – mobility models, routing, etc.
• Integration of VANET/WAVE and Mobility Data Mining – case
  studies, simulations, mathematical analysis

01/08/2011                                                        4
Multi-hop Ad hoc Networks
                         B
                                                              • Mobile Ad hoc Network
                       169.254.216.93
  A                                                          D  (MANET) – truly dynamic

169.254.172.66                    C               169.254.93.156


                       169.254.74.133
                                                                    OBU

                                                                                      OBU

• Vehicular Ad hoc                                                        OBU
  Network (VANET) –
                                            OBU
  fixed/semi-fixed                                                              OBU         OBU

  patterns                                                         OBU




                                                                    OBU
OBU (On-board Unit), RSU (Road-side Unit)
      01/08/2011                                                                            5
Real Experiment Vs. Simulation: Topology




01/08/2011                                 6
Real Experiment Vs. Simulation: Cases

     Case     Scenario     Source         Network Protocol Used         Experiment/
                          Destination    Experiment      Simulation    Simulation Time
                                                                            in sec.
 Case-1      Scenario-1      A-D            ICMP        CBR over UDP          300
 Case-2      Scenario-2      A-D            ICMP        CBR over UDP          120
 Case-3      Scenario-3      A-D            ICMP        CBR over UDP          120
 Case-4      Scenario-4      A-D            ICMP        CBR over UDP          120
 Case-5      Scenario-1    A-B, C, D    HTTP over TCP   FTP over TCP          180
 Case-6      Scenario-1      A-D        HTTP over TCP   FTP over TCP          300
 •     Open field experiment using Olsrd in IEEE 802.11g network
 •     Simulation – ns-2/UM-OLSR
 •     100 ICMP/CBR packets of 1500 bytes size, bidirectional
 •     Performance metrics – throughput, PDR, E2E delay, etc.
 •     Shadowing propagation with path-loss; β=2.3 and σdB=6.0 dB
01/08/2011                                                                         7
Case-1: String Topology with Static Nodes




01/08/2011                                  8
Case-2: String Topology with Roaming Node




01/08/2011                                  9
Case-3: String Topology with End Node Swap




01/08/2011                                   10
Case-4: Hybrid Topology




01/08/2011                11
Case-5: String Topology with No Restriction


                                    • Streaming Video
                                      from A to B, C, D




01/08/2011                                            12
Case-6: String Topology with Restriction


                                    • Streaming Video
                                      from A to D




01/08/2011                                          13
VANET Simulation – Non-rush Scenarios
• Street Map of Washington, DC, USA (TIGER/Line 2006)
• VanetMobiSim/ns-2, urban scenario, 20/210 vehicles, TCP/UDP
• IEEE 802.11a Vs. 802.11p with AODV/DSR; then AODV Vs. OLSR




01/08/2011                                                 14
IEEE 802.11a Vs. 802.11p with AODV, DSR




01/08/2011
             • 20 vehicles in a non-rush scenarios   15
AODV Vs. OLSR in IEEE 802.11p draft

                              • 5 different traffic
                                patterns are used
                              • Non-rush hour scenario
                                with 210 vehicles




01/08/2011                                         16
WAVE/ITS Simulation with NCTUns-6.0
   • UK M42 Motorway J4, Active Traffic Management (ATM)




• No. of Vehicles: 1/2/4
• Agent Controlled 802.11p cars
• Ricean fading (β=2.8 and σdB=6.0dB)
   01/08/2011                                              17
ITS Scenarios in IEEE 1609/WAVE




• Data Rate: 3Mbps
• Simulation: 115, 60 sec
• 1500 bytes UDP data




 01/08/2011                        18
Mobility Prediction-based ITS Network
                                                         Vehicular Information
                                                       Management (VIM) Systems
                                                         Mobility Data Mining


                                                    Vehicle’s
                                                Current Mobility                               Mobile Internet
                                                  Information                                    Office/Home
                                                                                                  Networks
 On-demand service                                                                          After Market Solutions
from roadside service                                                                             Providers
      providers                                               Predictive Mobility
                    OBU                                          Information          Safe Distance Notification
                                                                                      Adaptive Cruise Control
                                  RSU

                   Onboard Navigation
                                                     RSU


                                                                                               Network Packet
                                                                   OBU
                                                                                                 Routing and
                                                                                             Forwarding Decision


                                                   Blind Spot Notifications
                                                   Lane Departure Warning
        Cooperative Forward Collision Warning      Speed Limit Warning                            RSU – Roadside Unit
                                                   Pedestrian Crossing Notification               OBU – Onboard Unit
                                                   Emergency Road Work Warning
POGR – Specialise Case Scenarios




Scenario-1                                                 Scenario-2
                    Greedy Packet Forwarding
                  based on predictive mobility
                                  information
                                                       Opportunistic
DTN is an
                                                  Routing is required
emerging
                                                  while OBUs are out
technology for
                                                         of the direct
future
                                                     communication
ubiquitous
                                                    range of any RSU
mobile
                                                       and need V2V
computing and
                                                     communication
communication
                                     Scenario-3
   01/08/2011                                                    20
POGR: ns-2 Model for Specific Case Analysis

  Centralised VIM and               Prediction-based Opportunistic Greedy Routing
                        W(0)                                               (POGR)
            DM Engine
                                                           - Mobility Data Mining
                                                             - Mobility Prediction
        RSU Gateway                                     - Mobility Pattern Analysis
                        W(1)

                                          POGR Case Analysis
                                          • Greedy Forwarding
             RSU(1)            RSU(2)
                                          • Opportunistic Routing
                                          • Delay Tolerant Networking (DTN)


                                                                     Car-C

               Car-B


                                        Car-D
Car-A
POGR Scenarios: AODV Vs. OLSR




ns-2 Simulation Model
• IEEE 802.11p MAC and PHY
• 5.8GHz Band with 20MHz channel
• 3Mbps data rate
• Mobile IP enabled OBU


01/08/2011                         22
POGR – Mathematical Modelling

                                                                                         Time Space
                      NIP
                      ϬTi                     Time, t1             Time, t2   Time, t1     Time, t2

                     Time, t1


                        S                        I                               D
                                     δt

                                                                       I                     D
                      ϕ(distTSI, distGSI)δt

                                                         distTSI



•   The value of time required to receive a data packet from node S to D through intermediate
    node I for ith time over a time period [t1, t2] can be written as,


•   ϕ(X, Y)δt is the cumulative change function of variable X and Y over a time of δt
•   For nth time the above equation can be written as below,

•   Number of time intervals required to know the predictive trajectory may be calculated as

•   GLU is the frequency in time required for the on-board positioning system to update location
01/08/2011                                                                                            23
Conclusion
• Summary of Contributions:
• Multi-hop ad hoc networking – real-life experimentations
  provide appropriate guidelines and lessons learned to design
  realistic simulation models
• VANET/WAVE – Mobility Data Mining Net. Architecture –
  provide a new approach in ITS utilising prediction on vehicular
  mobility - POGR routing algorithm
• Applications – Streaming audio/video over multi-hop wireless
  mesh network (wireless video surveillance system), Internet
  resource sharing and intelligent on-board navigation and
  communication medium for vehicles



01/08/2011                                                      24
Future Works
System design and basic building block for software architecture     Roadside Units
Correctness and complexity analysis of POGR algorithm                    (RSU)

                      On-board Unit              Router               V2V and I2V
                          (OBU)                  Planner               High Rate
                                              Cooperative            Communication
                      Location and            Information
                                                                          V2V
                         Mobility               Exchange
                                                                      Medium Rate
                       Information             Multi-hop             Communication
                         Wireless           Vehicular Ad hoc              I2V
  On-board           Communication            Networking               Low Rate
   Sensors               Interface                                   Communication
   Vehicle
   Control
  Mechanics                                                          Wireless channel
                             On-board Visualisation                   allocation and
                                for Information,                    application request
                                 Warnings and                      scheduling based on
                                  Notifications                       timing priority
Selective Reference
•   Marco Conti, JC, Andrea Passarella (ed.) 2007, Multi-hop Ad Hoc Networks from
    Theory to Reality, Nova Science Publishers, Inc., New York.
•   C. Siva Ram Murthy, BSM 2004, Ad Hoc Wireless Networks Architectures and
    Protocols, Prentice Hall.
•   Hannes Hartenstein, KPL (ed.) 2010, VANET Vehicular Applicaitons and Inter-
    Networking Technologies, John Wiley and Sons, Ltd, Publication.
•   Stephan Olariu, MCW (ed.) 2009, Vehicular Networks From Theory to Practice, CRC
    Press.
•   Mobility, Data Mining and Privacy - Geographic Knowledge Discovery 2008,
    Springer.




01/08/2011                                                                        26
Research Team




        Joarder          Dr. Mohammad       Dr. Alison L      Prof. Hongnian Yu,
        Mohammad         Shahidul Hasan,    Carrington,       Third Supervisor
        Mustafa Kamal,   First Supervisor   Second Supervisor
        Research Student




01/08/2011                                                                         27
Thank You

             Questions?




01/08/2011                28

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A Comprehensive Study on Multi-hop Ad hoc Networking and Applications: MANET and VANET

  • 1. A Comprehensive Study on Multi-hop Ad hoc Networking and Applications: MANET and VANET Joarder Mohammad Mustafa Kamal M.Res. Dissertation Defence Staffordshire University September 16, 2010
  • 2. Introduction • Multi-hopping with relay nodes • Decentralised coordination • Network resource sharing • Infrastructure less 01/08/2011 2
  • 3. Research Challenges • General-purpose multi-hop ad hoc network • Scalability and Interoperability • Mobility and Internet – Applications and Scenarios • Transport layer protocols – TCP/UDP enhancements • Wireless PHY and MAC enhancements • Suitable routing protocols • Cross-layer protocol interactions • Power and bandwidth consumption Realism of reality 01/08/2011 3
  • 4. Aim and Objectives • Aim • Real-life implementation and experimentations of Multi-hop Ad hoc Network and its variations • Develop a new ITS/WAVE network architecture based on mobility prediction utilising the vehicular ad hoc networking • Objectives • Real-life Experimentations Vs. Simulation – Real MANET • Propose guidelines for realistic simulation and analysis • Explore and in-detail analysis of VANET/ITS/WAVE architecture and realistic simulations – mobility models, routing, etc. • Integration of VANET/WAVE and Mobility Data Mining – case studies, simulations, mathematical analysis 01/08/2011 4
  • 5. Multi-hop Ad hoc Networks B • Mobile Ad hoc Network 169.254.216.93 A D (MANET) – truly dynamic 169.254.172.66 C 169.254.93.156 169.254.74.133 OBU OBU • Vehicular Ad hoc OBU Network (VANET) – OBU fixed/semi-fixed OBU OBU patterns OBU OBU OBU (On-board Unit), RSU (Road-side Unit) 01/08/2011 5
  • 6. Real Experiment Vs. Simulation: Topology 01/08/2011 6
  • 7. Real Experiment Vs. Simulation: Cases Case Scenario Source  Network Protocol Used Experiment/ Destination Experiment Simulation Simulation Time in sec. Case-1 Scenario-1 A-D ICMP CBR over UDP 300 Case-2 Scenario-2 A-D ICMP CBR over UDP 120 Case-3 Scenario-3 A-D ICMP CBR over UDP 120 Case-4 Scenario-4 A-D ICMP CBR over UDP 120 Case-5 Scenario-1 A-B, C, D HTTP over TCP FTP over TCP 180 Case-6 Scenario-1 A-D HTTP over TCP FTP over TCP 300 • Open field experiment using Olsrd in IEEE 802.11g network • Simulation – ns-2/UM-OLSR • 100 ICMP/CBR packets of 1500 bytes size, bidirectional • Performance metrics – throughput, PDR, E2E delay, etc. • Shadowing propagation with path-loss; β=2.3 and σdB=6.0 dB 01/08/2011 7
  • 8. Case-1: String Topology with Static Nodes 01/08/2011 8
  • 9. Case-2: String Topology with Roaming Node 01/08/2011 9
  • 10. Case-3: String Topology with End Node Swap 01/08/2011 10
  • 12. Case-5: String Topology with No Restriction • Streaming Video from A to B, C, D 01/08/2011 12
  • 13. Case-6: String Topology with Restriction • Streaming Video from A to D 01/08/2011 13
  • 14. VANET Simulation – Non-rush Scenarios • Street Map of Washington, DC, USA (TIGER/Line 2006) • VanetMobiSim/ns-2, urban scenario, 20/210 vehicles, TCP/UDP • IEEE 802.11a Vs. 802.11p with AODV/DSR; then AODV Vs. OLSR 01/08/2011 14
  • 15. IEEE 802.11a Vs. 802.11p with AODV, DSR 01/08/2011 • 20 vehicles in a non-rush scenarios 15
  • 16. AODV Vs. OLSR in IEEE 802.11p draft • 5 different traffic patterns are used • Non-rush hour scenario with 210 vehicles 01/08/2011 16
  • 17. WAVE/ITS Simulation with NCTUns-6.0 • UK M42 Motorway J4, Active Traffic Management (ATM) • No. of Vehicles: 1/2/4 • Agent Controlled 802.11p cars • Ricean fading (β=2.8 and σdB=6.0dB) 01/08/2011 17
  • 18. ITS Scenarios in IEEE 1609/WAVE • Data Rate: 3Mbps • Simulation: 115, 60 sec • 1500 bytes UDP data 01/08/2011 18
  • 19. Mobility Prediction-based ITS Network Vehicular Information Management (VIM) Systems Mobility Data Mining Vehicle’s Current Mobility Mobile Internet Information Office/Home Networks On-demand service After Market Solutions from roadside service Providers providers Predictive Mobility OBU Information Safe Distance Notification Adaptive Cruise Control RSU Onboard Navigation RSU Network Packet OBU Routing and Forwarding Decision Blind Spot Notifications Lane Departure Warning Cooperative Forward Collision Warning Speed Limit Warning RSU – Roadside Unit Pedestrian Crossing Notification OBU – Onboard Unit Emergency Road Work Warning
  • 20. POGR – Specialise Case Scenarios Scenario-1 Scenario-2 Greedy Packet Forwarding based on predictive mobility information Opportunistic DTN is an Routing is required emerging while OBUs are out technology for of the direct future communication ubiquitous range of any RSU mobile and need V2V computing and communication communication Scenario-3 01/08/2011 20
  • 21. POGR: ns-2 Model for Specific Case Analysis Centralised VIM and Prediction-based Opportunistic Greedy Routing W(0) (POGR) DM Engine - Mobility Data Mining - Mobility Prediction RSU Gateway - Mobility Pattern Analysis W(1) POGR Case Analysis • Greedy Forwarding RSU(1) RSU(2) • Opportunistic Routing • Delay Tolerant Networking (DTN) Car-C Car-B Car-D Car-A
  • 22. POGR Scenarios: AODV Vs. OLSR ns-2 Simulation Model • IEEE 802.11p MAC and PHY • 5.8GHz Band with 20MHz channel • 3Mbps data rate • Mobile IP enabled OBU 01/08/2011 22
  • 23. POGR – Mathematical Modelling Time Space NIP ϬTi Time, t1 Time, t2 Time, t1 Time, t2 Time, t1 S I D δt I D ϕ(distTSI, distGSI)δt distTSI • The value of time required to receive a data packet from node S to D through intermediate node I for ith time over a time period [t1, t2] can be written as, • ϕ(X, Y)δt is the cumulative change function of variable X and Y over a time of δt • For nth time the above equation can be written as below, • Number of time intervals required to know the predictive trajectory may be calculated as • GLU is the frequency in time required for the on-board positioning system to update location 01/08/2011 23
  • 24. Conclusion • Summary of Contributions: • Multi-hop ad hoc networking – real-life experimentations provide appropriate guidelines and lessons learned to design realistic simulation models • VANET/WAVE – Mobility Data Mining Net. Architecture – provide a new approach in ITS utilising prediction on vehicular mobility - POGR routing algorithm • Applications – Streaming audio/video over multi-hop wireless mesh network (wireless video surveillance system), Internet resource sharing and intelligent on-board navigation and communication medium for vehicles 01/08/2011 24
  • 25. Future Works System design and basic building block for software architecture Roadside Units Correctness and complexity analysis of POGR algorithm (RSU) On-board Unit Router V2V and I2V (OBU) Planner High Rate Cooperative Communication Location and Information V2V Mobility Exchange Medium Rate Information Multi-hop Communication Wireless Vehicular Ad hoc I2V On-board Communication Networking Low Rate Sensors Interface Communication Vehicle Control Mechanics Wireless channel On-board Visualisation allocation and for Information, application request Warnings and scheduling based on Notifications timing priority
  • 26. Selective Reference • Marco Conti, JC, Andrea Passarella (ed.) 2007, Multi-hop Ad Hoc Networks from Theory to Reality, Nova Science Publishers, Inc., New York. • C. Siva Ram Murthy, BSM 2004, Ad Hoc Wireless Networks Architectures and Protocols, Prentice Hall. • Hannes Hartenstein, KPL (ed.) 2010, VANET Vehicular Applicaitons and Inter- Networking Technologies, John Wiley and Sons, Ltd, Publication. • Stephan Olariu, MCW (ed.) 2009, Vehicular Networks From Theory to Practice, CRC Press. • Mobility, Data Mining and Privacy - Geographic Knowledge Discovery 2008, Springer. 01/08/2011 26
  • 27. Research Team Joarder Dr. Mohammad Dr. Alison L Prof. Hongnian Yu, Mohammad Shahidul Hasan, Carrington, Third Supervisor Mustafa Kamal, First Supervisor Second Supervisor Research Student 01/08/2011 27
  • 28. Thank You Questions? 01/08/2011 28