Abstract
Internet of Things (IoT) services are based on information of IoT devices adopted various sensors. The sensed data by the sensors of devices is delivered to a data server, which is placed in Cloud, for intelligent services. IoT devices serve heterogeneous services using the data. For the connectivity of the IoT devices, wireless sensor networks are exploited as an access network technology for the services. In the wireless sensor networks, energy efficiency is the important issue. Thus, the efficient path selection should be considered. Data transmission in heterogeneous service environments employs aggregation and piggybacking functions. To maximize the energy efficiency, the functions are properly used for data delivery. In this paper, similarity of transmission data in devices is exploited. By the similarity value, the efficient path is selected and one of the functions is used. That is, this paper proposes the path selection to mainly use the aggregation function by high similarity in order to obtain the energy efficiency.
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Acknowledgement
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2014R1A1A2060035) and this work was supported by the Soonchunhyang University Research Fund (No. 20160220).
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Kim, DY., Kim, S. (2017). Efficient Path Selection for IoT Devices in Heterogeneous Service Environments. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_24
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DOI: https://doi.org/10.1007/978-981-10-3023-9_24
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