MN-ALG: A data delivery algorithm for large scale wireless electronic shelf label system

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Abstract

Electronic Shelf Labeling System (ESLs) can be used in various application scenes such as in warehouses and supermarkets, it significantly improves the management efficiency. In this paper, we propose a data delivery algorithm called “MN-ALG”, on the purpose to fulfill: the ability of building large-scale networks; the requirement of label nodes using “Sleep/Waken” working mode; achieving efficient transmission of data. MN-ALG broadcasts notification messages to destination nodes via an auxiliary channel, achieves data delivery and notification process in parallel, and by controlling notified number, the problem of channel congestion could be avoided. We implement MN-ALG in real-world environment. Experimental data show, implementing the proposed MN-ALG algorithm would help enlarge the scale as well meets the latency constraints performance of the system in comparison with other data delivery algorithms.

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Chen, Y., Zhang, Q., Tu, C., Zhang, Y., Bai, F., Xue, Y., & Zhang, S. (2015). MN-ALG: A data delivery algorithm for large scale wireless electronic shelf label system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9528, pp. 744–754). Springer Verlag. https://doi.org/10.1007/978-3-319-27119-4_52

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