Abstract
Opportunistic sensing has become an appealing mobile crowd sensing (MCS) paradigm due to the fact that it can reduce the energy consumption and cost of cellular network connections. However, its success rate and transmission speed depend on the social interaction and mobility patterns of nodes. In this paper, we provide a spatiotemporal opportunistic transmission method for MCS networks. Firstly, to characterize the mobility patterns and social attributes of nodes more precisely and combine their advantages, this method defines spatiotemporal encountering and visiting parameters related to specific space-time units for nodes in a MCS network. Further, to realize reliable opportunistic transmission across regions and time intervals, this method searches publishers or participants of sensing tasks in a space-time unit according to the spatiotemporal encountering parameters of nodes in the unit and tracks the publishers or participants across the space-time units according to the spatiotemporal visiting parameters of nodes. The simulation results verify that the proposed method can achieve higher success rate with less transmission delay than existing typical methods.
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Funding
This work was supported in part by the National Natural Science Foundation of China under Grants 61802257 and 61602305 and by the Natural Science Foundation of Shanghai under Grants 18ZR1426000 and 19ZR1477600.
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He, X., Liu, M. & Yang, G. Spatiotemporal opportunistic transmission for mobile crowd sensing networks. Pers Ubiquit Comput 27, 551–561 (2023). https://doi.org/10.1007/s00779-020-01439-7
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DOI: https://doi.org/10.1007/s00779-020-01439-7