journal article·2025-11-12Open access

A Vehicular Traffic Condition-Based Routing Lifetime Control Scheme for Improving the Packet Delivery Ratio in Realistic VANETs

Jonghyeon Choe, Youngboo Kim, Seungmin Oh

Applied Sciences· Volume 15· Issue 22

Abstract

Packet delivery in vehicular ad hoc networks degrades under realistic road dynamics, where mobility and local density vary over time and across road layouts. This study revisits route lifetime control in AODV and introduces Vehicular Traffic Condition-Based AODV, which adjusts the Active Route Timeout and the Delete Period Constant online at each HELLO reception using locally observable cues on neighbor density and short-term speed variation. The design is empirically informed by OpenStreetMap and SUMO mobility with OMNeT++/Veins/INET co-simulation. The analysis highlights two recurrent patterns that guide the method: (i) an intermediate neighbor-density range—roughly from the mid-teens to about twenty neighbors—where average speed tends to vary more rapidly; and (ii) a distribution of short-term speed-change magnitudes, sampled at the instants of HELLO reception, that is concentrated within a narrow interval with a light upper tail. Accordingly, the proposed method increases or decreases route-entry lifetimes with heightened responsiveness inside this density range, while applying conservative updates elsewhere to mitigate oscillations. Evaluation across multiple vehicular-traffic conditions spanning three fleet sizes (200, 300, 400 vehicles) and three speed-limit settings (10, 20, 30 km/h) demonstrates consistent packet delivery ratio gains over conventional AODV and close tracking of the best static lifetime configurations identified per condition. The gains are attributable to timely pruning of unstable paths and sustained retention of stable paths, which increases valid forwarding opportunities without centralized coordination.
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Research context

OpenAlex topics: Vehicular Ad Hoc Networks (VANETs) · Traffic control and management · Network Traffic and Congestion Control

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of the Computer Science and Engineering, Kongju National University, Cheonan 31080, Republic of Korea

Funding

Ministry of Education · Kongju National University

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