Abstract
Wireless sensor networks (WSNs) are composed of huge amount of battery powered sensor nodes, which usually adopt sleep strategy to save energy and prolong network lifetime. Although appealing, such network faces the problem of data availability when nodes switch to the sleep mode. One alternative is to replicate data from the sleep sensor to other active nodes before hibernation. We explore reliable data replication over Named Data Networking (NDN) architecture and propose DSGC, an efficient Data Synchronization protocol for duty-cycled WSNs by integrating node Grouping knowledge and in-network Caching capabilities. In particular, sensors are organized into different groups according to their respective regions, through name-based data synchronization mechanism, we ensure that the newly updated shared data are always accessible within each group and can be retrieved through the active nodes. We also consider packet loss and node failures that happen frequently in WSNs. Simulation results verify that DSGC can guarantee data availability nearly 100% under different network conditions with negligible overhead.
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Acknowledgements
This work is supported by the National Nature Science Foundation of China (61871204); the Natural Science Foundation of Fujian Province (2018J01544); the Key Project of Natural Foundation for Young in Colleges of Fujian Province (JZ160466); Fujian College of Outstanding Young Talent Support Program; Fujian College of New Century Excellent Talent Support Program; Fujian Provincial Leading Project (2017H0029); and the Science and Technology Project of Fuzhou City (2017-G-106).
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Ruan, Z., Luo, H., Xu, G. (2019). Time-Aware and Energy Efficient Data Collection Mechanism for Duty-Cycled Wireless Sensor Networks. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11634. Springer, Cham. https://doi.org/10.1007/978-3-030-24271-8_18
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DOI: https://doi.org/10.1007/978-3-030-24271-8_18
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