Research Area:  Vehicular Ad Hoc Networks
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.
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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
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Publisher name:  IEEE
DOI:  10.1109/TITS.2020.3041518
Volume Information:  ( Volume: 22, Issue: 8, Aug. 2021) Page(s): 5319 - 5328
Paper Link:   https://ieeexplore.ieee.org/abstract/document/9298478