Abstract
Clustering-based routing strategies have been widely studied in the context of wireless sensor network for energy-efficient data communication. However, application of clustering-based routing to hard real-time wireless network is still an open challenge. In this work, we study the integration of clustering-based routing with WirelessHART for energy-efficient real-time wireless data communication. We re-design the clustering strategy to incorporate node transmission frequency so that the end-to-end delay of each data delivery is captured early in the clustering phase. Moreover, the data aggregation within a cluster is taken care of in the superframe design phase to ensure the stringent timing requirements are met. Experimental results show that the proposed data communication framework prolongs the WirelessHART network by effectively reducing the number of data packages transmitted. Meanwhile, the end-to-end delay of each data delivery can be always guaranteed.
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Li, F., Wang, C., Ju, L., Jia, Z. (2017). Clustering-Based Data Aggregation and Routing for Real-Time WirelessHART Communication. In: Zhang, L., Ren, L., Kordon, F. (eds) Challenges and Opportunity with Big Data. Monterey Workshop 2016. Lecture Notes in Computer Science(), vol 10228. Springer, Cham. https://doi.org/10.1007/978-3-319-61994-1_5
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DOI: https://doi.org/10.1007/978-3-319-61994-1_5
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