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Optimal ThrowBoxes assignment for big data multicast in VDTNs

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Abstract

Nowadays, vehicles have been equipped with various kinds of sensors which produce so called big data constantly. Among them, multimedia contents form the major part of the total generated data. They are usually shared among vehicles in a region of interest with less concerns on delay criteria. Therefore, to reduce cost, these data will be delivered using a carry-and-forward method in a Vehicular Delay Tolerant Network. Since the volume of these data is not negligible, not only delivery utility but also memory space usage must be considered while designing forwarding strategy. ThrowBoxes have been utilized to increase encountering opportunities. In this paper, we develop an optimal data packet assignment algorithms to achieve global maximum delivery utilities among ThrowBoxes. We evaluate the proposed scheme with the real world data trace. The results show that our scheme achieves better performance in terms of delay, delivery ratio, cost and other metrics.

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Acknowledgements

This work is supported by the Natural Science Foundation of China (61601157), the Scientific Research Foundation for the Returned Overseas Chinese Scholars (State Education Ministry, China); and Chinese Scholarship Council (201208330096).

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Correspondence to Tingting Fu.

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Liu, P., Ding, Y. & Fu, T. Optimal ThrowBoxes assignment for big data multicast in VDTNs. Wireless Netw 28, 1229–1239 (2022). https://doi.org/10.1007/s11276-019-01974-z

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