Performance analysis of VANETs under Rayleigh, Rician, Nakagami-m and Weibull fading

Vehicular Ad-hoc Networks (VANETs) are considered as one of the promising technologies for reduction of accidents and provisioning of infotainment services on the road. Due to high mobility of vehicles, wireless channel response rapidly changes from time to time which results into random fading. Therefore, this paper provides in depth analysis of performance of VANETs under different fading channels. To be specific, we adopt the cluster based approach to analytically model VANETs. Closed-form expressions of packet loss probability for different fading (i.e. Rayleigh, Rician, Nakagami-m and Weibull channel) models have been provided considering both MAC and Physical Layer characteristics. The derived expressions also encompass the effect of decoding failure and packet collision based on signal to noise ratio (SNR) and back-off timer, respectively. Our results characterizes the impact of channel conditions, vehicle speed, and contention window on the performance of the cluster based VANETs. Extensive simulations are performed to verify our findings.

[1]  Lian Zhao,et al.  The Optimal Radio Propagation Model in VANET , 2009, 2009 Fourth International Conference on Systems and Networks Communications.

[2]  Yi Wang,et al.  Which phone will you get next: Observing trends and predicting the choice , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).

[3]  Yanwu Ding,et al.  Mobile-to-Mobile Channel Measurements at 1.85 GHz in Suburban Environments , 2015, IEEE Transactions on Communications.

[4]  Muhammad Alam,et al.  Implementation and analysis of traffic safety protocols based on ETSI Standard , 2015, 2015 IEEE Vehicular Networking Conference (VNC).

[5]  David W. Matolak,et al.  Vehicle–Vehicle Channel Models for the 5-GHz Band , 2008, IEEE Transactions on Intelligent Transportation Systems.

[6]  Xin Li,et al.  A mobility clustering-based roadside units deployment for VANET , 2014, The 16th Asia-Pacific Network Operations and Management Symposium.

[7]  Fatos Xhafa,et al.  Performance Analysis of a Genetic Algorithm Based System for Wireless Mesh Networks Considering Weibull Distribution, DCF and EDCA , 2016, 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS).

[8]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[9]  Fan Bai,et al.  Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band , 2007, IEEE Journal on Selected Areas in Communications.

[10]  M. Moinuddin,et al.  Performance analysis of polarization diversity for frequency-selective Nakagami-m fading , 2016, 2016 International Conference on Emerging Technologies (ICET).

[11]  Sinem Coleri Ergen,et al.  Multihop-Cluster-Based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination , 2016, IEEE Transactions on Vehicular Technology.

[12]  Jun Zheng,et al.  Modeling and Performance Analysis of Periodic Broadcast in Vehicular Ad Hoc Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[13]  David W. Matolak,et al.  5-GHz-Band Vehicle-to-Vehicle Channels: Models for Multiple Values of Channel Bandwidth , 2010, IEEE Transactions on Vehicular Technology.

[14]  Alamelu Nachiappan,et al.  Impact of Doppler shift on the performance of RS coded non-coherent MFSK under Rayleigh and Rician fading channels , 2013, 2013 International Conference on Human Computer Interactions (ICHCI).