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LACCVoV: Linear Adaptive Congestion Control With Optimization of Data Dissemination Model in Vehicle-to-Vehicle Communication - 2020

LACCVoV: Linear Adaptive Congestion Control With Optimization of Data Dissemination Model in Vehicle-to-Vehicle Communication

Research Area:  Vehicular Ad Hoc Networks

Abstract:

Vehicle-to-vehicle communication assists road-side information exchange granting ease of access and sharing between users. The communication between the vehicles is short-lived due to interference and data congestion in the resource constraint medium. This manuscript introduces a linear adaptive congestion control (LACC) augmenting the benefits of greedy routing and data dissemination model (DDM). LACC focuses on selecting beneficiary vehicle by assessing its end-to-end service capacity and link stability preference. Different from the conventional greedy approach, routing is aided by a linear integer programming module for smart decisions on neighbor selection. The interrupts in data transmission and forwarding due to non-localized vehicles, congested routing paths and paused transmissions are addressed using LACC as a series of linear optimization. This helps to improve the performance of vehicular communication estimated using delay, message delivery, outage, and beacon messages.

Keywords:  

Author(s) Name:  Arun Kumar Sangaiah; Jaya Subalakshmi Ramamoorthi; Joel J. P. C. Rodrigues; Md. Abdur Rahman; Ghulam Muhammad; Mubarak Alrashoud

Journal name:  IEEE Transactions on Intelligent Transportation Systems

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/TITS.2020.3041518

Volume Information:  ( Volume: 22, Issue: 8, Aug. 2021) Page(s): 5319 - 5328