Abstract
Effective data transmission is a key technology in researching opportunistic networks. Increased data packet transmission among nodes can easily cause the death of nodes, especially in social networks environment. However, effective packet transmission is seldom discussed in existing algorithms in opportunistic networks research. In this study, an efficient data packet iteration and transmission (EDPIT) algorithm, which selects data packets via iteration, is proposed to save energy and overhead during transmission. The effective transmission among nodes in this algorithm improves the transmission rate of data packets. With satisfactory results from simulation and comparison with some existing algorithms, the EDPIT algorithm is found to not only reduce energy consumption but also improve the delivery ratio and overhead in opportunistic social networks.
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Funding
This work was supported in The National Natural Science Foundation of China (61672540);Hunan Provincial Natural Science Foundation of China (2018JJ3299, 2018JJ3682); ChinaPostdoctoral Science Foundation funded project (2017M612586); Foundation of Central SouthUniversity (185684); Major Program of National Natural Science Foundation of China (71633006).
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JW, ZC and MZ designed the project and drafted the manuscript, collected the data, wrote the code and performed the analysis. All participated in finalizing and approved the manuscript.
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Wu, J., Chen, Z. & Zhao, M. An efficient data packet iteration and transmission algorithm in opportunistic social networks. J Ambient Intell Human Comput 11, 3141–3153 (2020). https://doi.org/10.1007/s12652-019-01480-2
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DOI: https://doi.org/10.1007/s12652-019-01480-2