ICTACT Journal on Communication Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Selective MAC for Obstacle Aware CEV Environmental Model for Vanet (V2V)


Affiliations
1 Department of Electrical Engineering, Visvesvaraya Technological University RRC, India
2 Department of Electronics and Communication Engineering, HKBK College of Engineering, India
     

   Subscribe/Renew Journal


Vehicular Ad Hoc Network (VANET) adopts or resembles a similar structure of Mobile adhoc network (MANET). VANET using the IEEE 802.11p standard has great potential of achieving objectives of Smart intelligent transport system (SITS) for improving transport and road safety efficiency. To guarantee QoS and provide efficient network performance, a prioritized MAC need to be designed. Many priority based MAC has been designed in recent times to improve the quality of data delivery to end user. However these do not consider the impact of environment and presence of obstacle which affects the signal attenuation at the receiver end and affecting the QoS of channel availability. To address, this work present an obstacle based radio propagation model, obstacle based CEV (City, Expressway and Village) environmental model and a selective MAC to provide QoS for different services. The proposed model efficiency is evaluated in term of throughput achieved per channel, Collison and success packet transmission. To evaluate the adaptive performance of proposed AMAC experiment are conducted under CEV environment and are compared with existing MAC NCCMA. The outcome achieved shows that the proposed model is efficient in term of reducing Collison, improving packet transmission and throughput performance considering two types of services.

Keywords

VANET, V2V, Path Loss, DSRC, WAVE, IEEE 802.11p.
Subscription Login to verify subscription
User
Notifications
Font Size

  • L. Zhang, Z. Liu, R. Zou, J. Guo and Y. Liu, “A Scalable CSMA and Self-Organizing TDMA MAC for IEEE 802.11 p/1609.x in VANETs”, Wireless Personal Communications, Vol. 74, No. 4, pp. 1197-1212, 2014.

  • N. Bouchema, R. Naja and A. Tohme, “Traffic Modeling and Performance Evaluation in Vehicle to Infrastructure 802.11p Network”, Proceedings of International Conference on Ad Hoc Networks, pp. 82-99, 2014.

  • Mohammad M. Shurman, Mamoun F. Al-Mistarihi and Zaid A. Alomari, “MAC Layer Back-off Algorithm for Ad-Hoc Networks”, Proceedings of 36th International Convention on Information and Communication Technology Electronics and Microelectronics, pp. 23-27, 2013.

  • S. Oh, M. Gruteser and D. Pompili, “Coordination-Free Safety Messages Dissemination Protocol for Vehicular Networks”, IEEE Transactions on Vehicular Technology, Vol. PP, No. 99, pp. 1-13, 2012.

  • R.A. Saeed, A.B. Hj Naemat, A.B Aris, I.M. Khamis and M.K. Bin-Awang, “Evaluation of the IEEE 802.11p-based TDMA MAC method for Road Side-to-Vehicle Communications”, International Journal of Network and Mobile Technologies, Vol. 1, No. 2, pp. 81-87, 2010.

  • Saurabh Sehrawat, Revoti Prasad Bora and Dheeraj Harihar, “Performance Analysis of QoS Supported by Enhanced Distributed Channel Access (EDCA) Mechanism in IEEE 802.11e”, IAENG International Journal of Computer Science, Vol. 33, No. 1, pp. 1-6, 2007.

  • Katrin Bilstrup, Elisabeth Uhlemann, Erikg Strom and Urban Bilstrup, “On the Ability of the 802.11p MAC Method and STDMA to Support Real-Time Vehicle-to-Vehicle Communication”, EURASIP Journal on Wireless Communications and Networking, Vol. 2009, pp. 1687-1472, 2009.

  • Stephan Eichler, “Performance Evaluation of the IEEE 802.11p Wave Communication Standard”, Proceedings of 66th IEEE Vehicular Technology Conference, pp. 2199-2203, 2007.

  • Che-Yu Chang, Hsu-Chun Yen and Der-Jiunn Deng, “V2V QoS Guaranteed Channel Access in IEEE 802.11p VANETs”, IEEE Transactions on Dependable and Secure Computing, Vol. 13, No. 1, pp. 5-17, 2015.

  • Fan Yu and Subir Biswas, “Self-Configuring TDMA Protocols for enhancing Vehicle Safety with DSRC based Vehicle-to-Vehicle Communications”, IEEE Journal on Selected Areas in Communications, Vol. 25, No. 8, pp. 1526-1537, 2007.

  • Lawrence G. Roberts, “Aloha Packet System with and without Slots and Capture”, ACM SIGCOMM Computer Communication Review, Vol. 5, No. 2, pp. 28-42, 1975.

  • Mario Manzano, Felipe Espinosa, Angel M. Bravo-Santos and Alfredo Gardel-Vicente, “Cognitive Self-Scheduled Mechanism for Access Control in Noisy Vehicular Ad Hoc Networks”, Mathematical Problems in Engineering, Vol. 2015, pp. 1-12, 2015.

  • Aarja Kaur and Jyoteesh Malhotra, “On the Selection of QoS Provisioned Routing Protocol through Realistic Channel for VANET”, International Journal of Scientific and Technology Research, Vol. 4, No. 7, pp. 191-196, 2015.

  • A.U. Haque, M. Saeed and F.A. Siddiqui, “Comparative Study of BPSK and QPSK for Wireless Networks over NS2”, International Journal of Computer Applications, Vol. 41, No. 19, pp. 8-12, 2012.

  • Pranav Kumar Singh, “Influences of Two Ray Ground and Nakagami Propagation Model for the Performance of Adhoc Routing Protocol in VANET”, International Journal of Computer Applications, Vol. 45, No. 22, pp. 1-6, 2012.

  • Haiyue Piao, Yongtae Park, Byungjo Kim and Hyogon Kim, “Safety Beaconing Rate Control based on Vehicle Counting in Wave”, Proceedings of IEEE Intelligent Vehicles Symposium, pp. 1-6, 2015.

  • S.A. Gillani, P.A. Shah, A. Qayyum and H.B. Hasbullah, “MAC Layer Challenges and Proposed Protocols for Vehicular Ad-hoc Networks”, Vehicular Ad-hoc Networks for Smart Cities, Vol. 306, pp. 3-13, 2015.

  • Md Habibur Rahman and Mohammad Nasiruddin, “Impact of Two Realistic Mobility Models for Vehicular Safety Applications”, Proceedings of International Conference on Informatics, Electronics and Vision, pp. 1-6, 2014.

  • B. Usha Rani and Suraiya Tarannum, “A Channel Modelling considering Varied Environmental model for DSRC based V2V Application Services”, Proceedings of 3rd International Conference on Devices, Circuits and Systems, pp. 48-53, 2016.

  • Sayyid A. Vaqar and Otman Basir, “Traffic Pattern Detection in a Partially Deployed Vehicular Ad Hoc Network of Vehicles”, IEEE Wireless Communications, Vol. 16, No. 6, pp. 40-46, 2009.

  • W. Viriyasitavat, M. Boban, H.M. Tsai and A. Vasilakos, “Vehicular Communications: Survey and Challenges of Channel and Propagation Models”, IEEE Vehicular Technology Magazine, Vol. 10, No. 2, pp. 55-66, 2015.

  • International Telecommunication Union, “Propagation by Diffraction”, Available at: https://www.itu.int/rec/R-REC-P.526/en.


Abstract Views: 293

PDF Views: 3




  • Selective MAC for Obstacle Aware CEV Environmental Model for Vanet (V2V)

Abstract Views: 293  |  PDF Views: 3

Authors

B. Usha Rani
Department of Electrical Engineering, Visvesvaraya Technological University RRC, India
Suraiya Tarannum
Department of Electronics and Communication Engineering, HKBK College of Engineering, India

Abstract


Vehicular Ad Hoc Network (VANET) adopts or resembles a similar structure of Mobile adhoc network (MANET). VANET using the IEEE 802.11p standard has great potential of achieving objectives of Smart intelligent transport system (SITS) for improving transport and road safety efficiency. To guarantee QoS and provide efficient network performance, a prioritized MAC need to be designed. Many priority based MAC has been designed in recent times to improve the quality of data delivery to end user. However these do not consider the impact of environment and presence of obstacle which affects the signal attenuation at the receiver end and affecting the QoS of channel availability. To address, this work present an obstacle based radio propagation model, obstacle based CEV (City, Expressway and Village) environmental model and a selective MAC to provide QoS for different services. The proposed model efficiency is evaluated in term of throughput achieved per channel, Collison and success packet transmission. To evaluate the adaptive performance of proposed AMAC experiment are conducted under CEV environment and are compared with existing MAC NCCMA. The outcome achieved shows that the proposed model is efficient in term of reducing Collison, improving packet transmission and throughput performance considering two types of services.

Keywords


VANET, V2V, Path Loss, DSRC, WAVE, IEEE 802.11p.

References