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Li, Y (2013)
Languages: English
Types: Doctoral thesis
Subjects:
Intelligent Transportation Systems (ITS) have only recently discovered the exciting possibilities in the nomadic and ubiquitous computing space to build a new generation of information systems by allowing the vehicle to act both as a carrier and consumer of wireless (and thus omnipresent) information. Wide deployment of such ITS systems may eventually allow for more dynamic and efficient transportation systems, which can contribute in several ways towards greater economic growth whilst respecting environmental sustainability. A great number of researchers have dedicated considerable time and resources to tackling traffic related issues by utilising the new wireless capabilities enabled by ITS; such initiatives cover a wide range of applications such as safety, knowledge sharing and infotainment. Indicative of the extent of such efforts is the plethora of research projects initiated by many national and multi-national organisations such as the EU Framework Programme for Research and Technological Development. To achieve their goals, proposed solutions from such organisations depend on the development and deployment of intelligent wireless mobile communication systems, where data dissemination issues make the prospect of efficient and effective communication a challenging proposition. Presently, Car-to-Car and Car-to-Infrastructure communications are two distinct avenues that make possible efficient and reliable delivery of messages via direct radio links in traffic areas. In all cases, high quality of communication performance is desirable for a communication system composed mostly of roaming participants; such a system needs to be dynamic, flexible and infrastructure-less. Consequently, Mobile Ad hoc Network (MANET)-based networks are a natural fit to ITS.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Effect of network density for PTMDA with different threshold values .................173 Appendix A-2
    • Effect of network density in PTMDA and Probabilistic-Flooding .........................175 Appendix A-3
    • Effect of message size for PTMDA with different threshold values .......................177 Appendix A-4
    • Effect of message size between PTMDA (0.6) and probabilistic Flooding.............179 Appendix A-5
    • Effect of Infrastructure-node for PTMDA with different threshold values ..........181 Appendix A-6
    • 4. 7 The speed of vehicles in motion: ........................................................................... 100
    • 5. 1 The architecture of CMCN Simulation and Evaluation ......................................... 104 5. 2 Scenario I: 700m*700m Nottingham (UK) Region ............................................... 105 5. 3 Scenario II: 1164m*905m Nottingham (UK) City Centre ..................................... 106 5. 4 The communication methods ................................................................................. 107 5. 5 Scenario I: SimDev Mobility Model and NS2 Nam ............................................. 108 5. 6 Scenario II: SUMO Mobility Model and NS2 Nam ............................................. 108 5. 7 #-Shaped Mobility Model and NS2 Nam .............................................................. 109 5. 8 Two examples of network topologies..................................................................... 121 2. 1 Typical implemented WLAN IEEE 802.11 standard series .....................................31 2. 2 Physical parameters in IEEE 802.11p ......................................................................40 4. 1 CMCN Traffic Message Frame ................................................................................86
    • 1. Y. Li and E. Peytchev, “Novel ad-hoc wireless mobile communication network routing model for location based sensor networks” in proceedings of International Symposium on LBS & TeleCartography, pp.: 383-396, Guangzhou, China, September 2010.
    • 2. Y. Li, “Study on Test Suite Application of NS-2 Simulation System”, Journal of Communication Technology, vol. 44, no. 7, no. 235, Totally: 39-41, July, 2011.
    • 3. Y. Li, “Embedded Data Communication System based on 4G-Ready”, Journal of Communication Technology, vol. 44, no. 10, no. 238, Totally: 1-3, Oct., 2011.
    • 4. E. A. Gamati, E. Peytchev, R. Germon and Y. Li, “Utilization of Broadcast Methods for detection of the road conditions in VANET” in proceedings of 26th European Conference on Modelling and Simulation, Koblenz, Germany, May, 2012.
    • 5. Y. Li and E. Peytchev, "New Traffic Message Delivery Algorithm for a Novel VANET Architecture" in ICWMC 2012, The Eighth International Conference on Wireless and Mobile Communications, pp.: 395-401, Venice, Italy, June, 2012.
    • 6. Y. Li and E. Peytchev, “Traffic Message Delivery Broadcast Protocol in Vehicular Ad Hoc Networks” in OMCO NET, The Mini-Conference on Optimisation of Mobile Communication Networks, Southampton, UK, June, 2012.
    • 7. Y. Li, S. Papanastasiou, J. Akhlaghinia and E. Peytchev, "TMDA: A BroadcastBased Message Delivery Algorithm for VANETs", International Journal On Advances in Telecommunications, vol. 6, no. 1 and 2: 34-44, June, 2013.
  • No related research data.
  • Discovered through pilot similarity algorithms. Send us your feedback.

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