A study on modeling vehicles mobility with MLC for enhancing vehicle-to-vehicle connectivity in VANET
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ORIGINAL RESEARCH
A study on modeling vehicles mobility with MLC for enhancing vehicle‑to‑vehicle connectivity in VANET J. Naskath1 · B. Paramasivan2 · Hamza Aldabbas3 Received: 21 February 2020 / Accepted: 16 September 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract In Vehicular ad hoc networks (VANETs), vehicle-to-vehicle (V2V) is a significant mode of communication in which vehicles communicate with other moving vehicles with the aid of wireless transceivers. Due to the rapid mobility of vehicles, network connectivity over VANETs is frequently unstable, especially in sparse highways. This paper analyzes V2V connectivity dynamics by designing the microscopic mobility and lane changing decision model using an adaptive cursive control mechanism and recurrent neural network. Extensive simulators like SUMO and NS2 analyze the validity of this proposed model. The proposed analytical model provides a framework for examining the impact of mobility dependent metrics such as vehicle velocity, acceleration/deceleration, safety gap, vehicle arrival rate, vehicle density and network metric data delivery rate for characterizing the VANET connectivity of the proposed network. The simulation results synchronized those of the proposed model, which illustrated that the developed analytical model of this work is effective. Keywords Mobility model · Connectivity analysis · VANET · Mandatory lane changing · Recurrent neural network
1 Introduction The main objective of Vehicular Ad hoc Networks (VANETs) (Al-Sultan et al. 2014) is to disseminate forthcoming traffic information promptly using the Intelligent Transportation System (ITS) for reducing traffic accidents and congestion statistics especially in smart highways (Talari et al. 2017). VANET uses three different types of propagation models such as Vehicle-to-Vehicle (V2V), Vehicle to Infrastructure (V2I), and Infrastructure to Infrastructure (I2I). In V2V, distributed storage schemes (Hu et al. 2018) * J. Naskath [email protected] B. Paramasivan [email protected] Hamza Aldabbas [email protected] 1
Department of Computer Science and Engineering, National Engineering College, Kovilpatti, Tamil Nadu 628503, India
2
Department of Information Technology, National Engineering College, Kovilpatti, Tamil Nadu 628503, India
3
Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University, Al‑Salt, Jordan
are used for transmitting data from out bounding vehicles to incoming vehicles in a specific coverage region. In V2I, the messages is transmitted from the vehicle to static Infrastructures like mobile edge computing servers (Dai et al. 2020) using some scheduling policies (Dai et al. 2019). For communication purpose, I2I used both wired and wireless communication mediums. Compared to V2I communication, inter-vehicle communication is preferable for the successful dissemination of messages (Dai et al. 2019; Paridel et al. 2014). Although, in V2V communication (Fernandez et al. 2012, Dan
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