Journal
SENSORS
Volume 18, Issue 11, Pages -Publisher
MDPI
DOI: 10.3390/s18113846
Keywords
resource-limited; re-allocation; service guaranteed
Funding
- National Natural Science Foundation of China [61701044, 61803041]
- Natural Science Basic Research Plan in Shaanxi Province of China [2016JQ6067]
- International Cooperation and Exchanges in Shaanxi Province of China [2016KW-035]
- China Postdoctoral Science Foundation [2017M623089]
- Fundamental Research Funds for the Central Universities [310832171007]
- Special Project of Educational and Teaching Reform in Central Colleges and Universities [300103184051]
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Vehicular networks are becoming increasingly dense due to expanding wireless services and platooning has been regarded as a promising technology to improve road capacity and on-road safety. Constrained by limited resources, not all communication links in platoons can be allocated to the resources without suffering interference. To guarantee the quality of service, it is required to determine the set of served services at which the scale of demand exceeds the capability of the network. To increase the number of guaranteed services, the resource allocation has to be adjusted to adapt to the dynamic environment of the vehicular network. However, resource re-allocation results in additional costs, including signal overhead and latency. To increase the number of guaranteed services at a low-cost in a resource-limited vehicular network, we propose a time dynamic optimization method that constrains the network re-allocation rate. To decrease the computational complexity, the time dynamic optimization problem is converted into a deterministic optimization problem using the Lyapunov optimization theory. The simulation indicates that the analytical results do approximate the reality, and that the proposed scheme results in a higher number of guaranteed services as compared to the results of a similar algorithm.
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