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A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks

1
The Faculty of the Institute of Electrical and Control Engineering, Chang’an University, Xi’an 710064, China
2
The Faculty of the Institute of Information Engineering, Chang’an University, Xi’an 710064, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(11), 3846; https://doi.org/10.3390/s18113846
Received: 13 September 2018 / Revised: 4 November 2018 / Accepted: 7 November 2018 / Published: 9 November 2018
(This article belongs to the Section Sensor Networks)
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. View Full-Text
Keywords: resource-limited; re-allocation; service guaranteed resource-limited; re-allocation; service guaranteed
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MDPI and ACS Style

Meng, Y.; Dong, Y.; Wu, C.; Liu, X. A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks. Sensors 2018, 18, 3846. https://doi.org/10.3390/s18113846

AMA Style

Meng Y, Dong Y, Wu C, Liu X. A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks. Sensors. 2018; 18(11):3846. https://doi.org/10.3390/s18113846

Chicago/Turabian Style

Meng, Yun, Yuan Dong, Chunling Wu, and Xinyi Liu. 2018. "A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks" Sensors 18, no. 11: 3846. https://doi.org/10.3390/s18113846

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