Abstract
Vehicular networks need to guarantee the communication reliability levels necessary to satisfy the application requirements, while ensuring a stable network operation even under dense deployments. To this aim, congestion and awareness control protocols dynamically adapt the same communication parameters based on context conditions. If the two protocols operate independently, negative interactions or conflicts can arise. This situation can occur if for example congestion control requires decreasing the transmission power to reduce the channel load, but this reduction negatively influences the vehicles’ awareness range. To address these interactions or conflicts, this paper proposes and evaluates a methodology to coordinate congestion and awareness control protocols. A key advantage of the proposed methodology is that it does not require the integration of the interacting protocols, nor does it require changing their original design. The obtained results demonstrate the effectiveness of the proposed coordination methodology. In addition, the proposed methodology can be extended to the coordination of multiple protocols operating over the same communication parameters. This is here demonstrated considering the coordination of congestion, awareness and topology control protocols.
Highlights
Vehicular networks require the exchange of positioning and basic vehicular status information between neighboring nodes
The proposed COMPASS methodology is evaluated in a highway crossing scenario with 4 road segments and 4 lanes per road segment where vehicles are uniformly distributed in each lane
We evaluate the spatial distribution of the channel load and the application’s effectiveness experienced by each vehicle
Summary
Vehicular networks require the exchange of positioning and basic vehicular status information between neighboring nodes. Such exchange is based on the periodic transmission/reception of 1-hop broadcast messages on the so-called control channel [1]. The critical nature of this reference channel has fostered significant efforts in the research and standardization communities to design congestion control schemes that adapt the communication parameters to ensure the scalability and adequate operation of vehicular networks [2,3]. DCC_CROSS runs the core of the DCC algorithm and adjusts the communication parameters based on metrics received from the other DCC components using a reactive state-based and linear adaptive approach
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