Cooperative Intelligence of Vehicles for Intelligent Transportation Systems (ITS)

The aim of Intelligent Transportation Systems (ITS) is to automate the interactions among vehicles and infrastructure to accomplish high levels of safety measures, comfort, and competence in vehicular communication. To utilize the future trends of increasing traffic safety and efficiency in ITS, integrating vehicles and infrastructures with the cooperative vehicular technique will be the feasible solution. In order to demonstrate the importance of cooperative communication in vehicular networks, a spectral efficient architecture has been proposed for cooperative centralized and distributed spectrum sensing in vehicular networks. We discuss the possibilities of Cognitive Radio in the cooperative vehicular environment. In order to exhibit cooperative vehicular networks, hardware modules are designed for a vehicle to vehicle, vehicle to infrastructure and infrastructure to infrastructure communications. Furthermore, quantitative analysis is made in order to calculate the energy optimization, connectivity failure probability and traffic management in cooperative vehicular networks. In addition, we test the results of the cooperative vehicular network by simulating it in NS2. In this respect, we have considered three different cases, Emergency vehicles, VIP vehicles, and normal vehicles. It is inferred from the results that end-to-end delay for emergency vehicles in the cooperative environment is considerably less as compared to VIP and normal vehicles.

[1]  Tung-Sang Ng,et al.  Data detection for cooperative vehicular communication systems with unknown channels , 2010, 2010 17th IEEE International Conference on Electronics, Circuits and Systems.

[2]  Kwen-Siong Chong,et al.  Synchronous-Logic and Asynchronous-Logic 8051 Microcontroller Cores for Realizing the Internet of Things: A Comparative Study on Dynamic Voltage Scaling and Variation Effects , 2013, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[3]  Stephan Olariu,et al.  Intelligent Transportation Systems and Vehicular Networks that , 2022 .

[4]  K. R. Chowdhury,et al.  Smart Radios for Smart Vehicles: Cognitive Vehicular Networks , 2012, IEEE Vehicular Technology Magazine.

[5]  Candelaria Hernández-Goya,et al.  Stimulating cooperation in self-organized vehicular networks , 2009, 2009 15th Asia-Pacific Conference on Communications.

[6]  Dirk Pesch,et al.  Communication management for cooperative vehicular systems , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[7]  Luciano Bononi,et al.  Analyzing the potential of cooperative Cognitive Radio technology on inter-vehicle communication , 2010, 2010 IFIP Wireless Days.

[8]  Alexander M. Wyglinski,et al.  Characterization of vacant UHF TV channels for vehicular dynamic spectrum access , 2009, 2009 IEEE Vehicular Networking Conference (VNC).

[9]  Giovanni Pau,et al.  Cognitive cars: constructing a cognitive playground for VANET research testbeds , 2011, CogART '11.

[10]  Jianfeng Wang,et al.  Emerging cognitive radio applications: A survey , 2011, IEEE Communications Magazine.

[11]  A.H. Ho,et al.  Cooperation Enforcement in Vehicular Networks , 2008, 2008 International Conference on Communication Theory, Reliability, and Quality of Service.

[12]  Relative Positioning Enhancement in VANETs: A Tight Integration Approach , 2013, IEEE Transactions on Intelligent Transportation Systems.

[13]  Zhou Wang,et al.  Cooperation Enhancement for Message Transmission in VANETs , 2007, Wirel. Pers. Commun..

[14]  Husheng Li,et al.  Collaborative Spectrum Sensing in Cognitive Radio Vehicular Ad Hoc Networks: Belief Propagation on Highway , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[15]  Jhing-Fa Wang,et al.  Video search and indexing with reinforcement agent for interactive multimedia services , 2013, TECS.

[16]  Pabitra Mohan Khilar,et al.  Vehicular communication: a survey , 2014 .

[17]  Ian F. Akyildiz,et al.  Cooperative spectrum sensing in cognitive radio networks: A survey , 2011, Phys. Commun..

[18]  Dusit Niyato,et al.  Optimal Channel Access Management with QoS Support for Cognitive Vehicular Networks , 2011, IEEE Transactions on Mobile Computing.

[19]  Anand Paul,et al.  Real-Time Power Management for Embedded M2M Using Intelligent Learning Methods , 2014, TECS.

[20]  Mario Gerla,et al.  Vehicular networks and the future of the mobile internet , 2011, Comput. Networks.

[21]  Hassan Artail,et al.  Data delivery guarantees in congested Vehicular ad hoc networks using cognitive networks , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[22]  Luciano Bononi,et al.  Cooperative spectrum management in cognitive Vehicular Ad Hoc Networks , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[23]  Jean-Marie Bonnin,et al.  Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges , 2014, EURASIP J. Wirel. Commun. Netw..

[24]  S. S. Chakole,et al.  ARM Hardware Plaform for Vehicular Monitoring and Tracking , 2013, 2013 International Conference on Communication Systems and Network Technologies.

[25]  Nima Alam,et al.  Cooperative Positioning for Vehicular Networks: Facts and Future , 2013, IEEE Transactions on Intelligent Transportation Systems.

[26]  Hannes Hartenstein,et al.  VANET: Vehicular Applications and Inter-Networking Technologies , 2010, VANET.

[27]  Stephan Olariu,et al.  Challenges and perspectives in the implementation of NOTICE architecture for vehicular communications , 2008, 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[28]  Anand Paul,et al.  Graph based M2M optimization in an IoT environment , 2013, RACS.

[29]  Sebastien Demmel Building an augmented map for road risk assessment , 2013 .

[30]  Gongjun Yan,et al.  Vehicle-to-Vehicle Connectivity and Communication Framework for Vehicular Ad-Hoc Networks , 2014, 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems.

[31]  Murroni Maurizio,et al.  Cognitive Radio Communications for Vehicular Technology – Wavelet Applications , 2011 .

[32]  T.A.A. Victoire,et al.  Particle swarm approach for retiming in VLSI , 2003, 2003 46th Midwest Symposium on Circuits and Systems.

[33]  Mario Gerla,et al.  CoRoute: a new cognitive anypath vehicular routing protocol , 2011, Wirel. Commun. Mob. Comput..

[34]  Tami Toroyan,et al.  Global Status Report on Road Safety: Time for Action , 2009 .

[35]  Hannes Hartenstein,et al.  Congestion and Awareness Control in Cooperative Vehicular Systems , 2011, Proceedings of the IEEE.

[36]  Jhing-Fa Wang,et al.  Speech-driven talking face using embedded confusable system for real time mobile multimedia , 2013, Multimedia Tools and Applications.

[37]  Mario Gerla,et al.  CoRoute: A new cognitive anypath vehicular routing protocol , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[38]  Seungmin Rho,et al.  Probabilistic Model for M2M in IoT networking and communication , 2016, Telecommun. Syst..

[39]  Anand Paul,et al.  Dynamic Power Management for Ubiquitous Network Devices , 2013 .

[40]  Robert W. Heath,et al.  Link Adaptation with Position/Motion Information in Vehicle-to-Vehicle Networks , 2012, IEEE Transactions on Wireless Communications.

[41]  Hariharan Krishnan,et al.  Performance evaluation of safety applications over DSRC vehicular ad hoc networks , 2004, VANET '04.

[42]  S. Kammel,et al.  Cooperative Cognitive Automobiles , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[43]  Awais Ahmad,et al.  Cooperative Cognitive Intelligence for Internet of Vehicles , 2017, IEEE Systems Journal.

[44]  Luis Alonso,et al.  Experimental Study of Bluetooth, ZigBee and IEEE 802.15.4 Technologies on Board High-Speed Trains , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).