Abstract
Motivated by message delivery in vehicular ad hoc networks, we study distributed data replication algorithms for information delivery in a special completely connected network. To improve the efficiency of data dissemination, the number of message copies that can be spread is controlled and a distributed randomized data replication algorithm is proposed. The key idea is to let the data carrier distribute the data dissemination tasks to multiple nodes to speed up the dissemination process. We show how the network converges and prove that the network can enter into a balanced status in a small number of stages. Most of the theoretical results described in this paper are to study the complexity of network convergence. Simulation results show that the proposed algorithm can disseminate data to a specific area with low delay.
C. Huang—This work is supported by the National Science Foundation of China (Nos. 61373040, 61173137), by National Science Foundation Early Career Award 0845376 and Bensten Fellowship of the University of Texas - Rio Grande Valley.
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The authors are very grateful to the anonymous reviewers for their helpful comments on an earlier version of this paper.
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Zhu, J., Huang, C., Fan, X., Fu, B. (2017). An Efficient Distributed Randomized Data Replication Algorithm in VANETs. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds) Wireless Algorithms, Systems, and Applications. WASA 2017. Lecture Notes in Computer Science(), vol 10251. Springer, Cham. https://doi.org/10.1007/978-3-319-60033-8_33
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DOI: https://doi.org/10.1007/978-3-319-60033-8_33
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