Abstract
Efficient data dissemination in vehicular ad hoc networks (VANETs) is a challenging issue due to the high mobility of vehicles. We consider a novel mobile relaying technique by employing unmanned aerial vehicles (UAVs) to assist VANETs when the communication infrastructure is not available or network connectivity is poor. A throughput maximization problem with delay constraint is formulated to achieve high network throughput and guarantee real-time data dissemination. We reduce the graph knapsack problem to the throughput maximization problem, which is proved NP-hard. A polynomial time approximation scheme is proposed to solve the problem. Theoretical analysis that includes time complexity and approximation ratio of the algorithm is presented. The evaluation demonstrates the effectiveness of the proposed algorithm.
C. Huang—This work is supported by the National Science Foundation of China (No. 61772385, No. 61373040, No. 61572370), by National Science Foundation Early Career Award 0845376 and Bensten Fellowship of the University of Texas - Rio Grande Valley.
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Fan, X., Huang, C., Chen, X., Wen, S., Fu, B. (2018). Delay-Constrained Throughput Maximization in UAV-Assisted VANETs. In: Chellappan, S., Cheng, W., Li, W. (eds) Wireless Algorithms, Systems, and Applications. WASA 2018. Lecture Notes in Computer Science(), vol 10874. Springer, Cham. https://doi.org/10.1007/978-3-319-94268-1_10
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