Abstract
In the campus scenario, a basic community of collaborative teams is formed among the nodes participating in the collaborative learning interaction in the mobile opportunistic network. Due to the existing research does not consider the weak connection, node influence and the contact characteristics between nodes. In this paper, a routing method using a collaborative group as a communication unit is proposed. The route mainly counts the contact characteristics among the groups according to the characteristics of the node movement and predicts the subsequent contact situation. Combined with the weak connection relationship and the node’s influence, the optimal node to be transmitted is selected. It has been experimentally verified that the routing method can greatly improve the speed of message dissemination and avoid unnecessary message redundancy and waste of contact opportunities.
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Acknowledgement
This work was supported by the National Natural Science Foundation of China (No. 61877037) and the National Natural Science Foundation of China (No. 61977044).
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Li, P., Liu, H., Guo, L., Zhang, L., Wang, X., Wu, X. (2019). High-Quality Learning Resource Dissemination Based on Opportunistic Networks in Campus Collaborative Learning Context. In: Guo, S., Liu, K., Chen, C., Huang, H. (eds) Wireless Sensor Networks. CWSN 2019. Communications in Computer and Information Science, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1785-3_18
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DOI: https://doi.org/10.1007/978-981-15-1785-3_18
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