Problem
Research questions and friction points this paper is trying to address.
Internet of Vehicles
routing protocol
dynamic topology
adaptability
global optimization
Adaptive Multi-Dimensional Coordinated Comprehensive Routing Scheme for IoV
🤖 AI Summary
This study addresses the challenges of poor routing adaptability in vehicular ad hoc networks caused by high mobility and dynamic topologies, which hinder the simultaneous achievement of reliability, real-time performance, and efficiency. The authors formulate routing as a single-objective optimization problem under multiple constraints by constructing a system model that integrates network topology, link state, hierarchical congestion, and transmission delay. They propose a composite routing metric that jointly considers link reliability, node load, global congestion, and stability, along with a dual-criteria candidate selection mechanism based on connectivity and forwarding progress, complemented by an adaptive weight-update strategy. To handle link failures and congestion, the approach incorporates primary–backup path selection and an adaptive threshold-switching mechanism. Experimental results demonstrate that the proposed scheme significantly reduces route breakage, improves packet delivery ratio, and decreases end-to-end delay, outperforming conventional methods under highly dynamic and congested conditions.
📝 Abstract
The characteristics of high-speed node movement and dynamic topology changes pose great challenges to the design of internet of vehicles (IoV) routing protocols. Existing schemes suffer from common problems such as insufficient adaptability and lack of global consideration, making it difficult to achieve a globally optimal balance between routing reliability, real-time performance and transmission efficiency. This paper proposes an adaptive multi-dimensional coordinated comprehensive routing scheme for IoV environments. A complete IoV system model including network topology, communication links, hierarchical congestion and transmission delay is first constructed, the routing problem is abstracted into a single-objective optimization model with multiple constraints, and a single-hop link comprehensive routing metric integrating link reliability, node local load, network global congestion and link stability is defined. Second, an intelligent transmission switching mechanism is designed: candidate nodes are screened through dual criteria of connectivity and progressiveness, a dual decision-making of primary and backup paths and a threshold switching strategy are introduced to avoid link interruption and congestion, and an adaptive update function is constructed to dynamically adjust weight coefficients and switching thresholds to adapt to changes in network status. Simulation results show that the proposed scheme can effectively adapt to the high dynamic topology and network congestion characteristics of IoV, perform excellently in key indicators such as routing interruption times, packet delivery rate and end-to-end delay, and its comprehensive performance is significantly superior to traditional routing schemes.
Innovation
Methods, ideas, or system contributions that make the work stand out.
adaptive routing
multi-dimensional coordination
comprehensive routing metric
intelligent switching mechanism
IoV
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