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- W2852807500 abstract "The emerging cyber-physical paradigm endeavours to unite all the physical objects embedded with electronics, software, sensors, and network connectivity to allow more direct interactions and information sharing between the physical and cyber worlds. While these massively connected devices and their associated communications can exponentially increase the data generation, transmission, and processing which consume a huge amount of energy and finally end up with harming the environment seriously. In this paper, we propose a solution for energy efficient data dissemination by using the opportunistic device-to-device (D2D) communications. Each sender can decide either use network infrastructure or through encountering the end-users according to the quality of service (QoS) requirements of each data demand and also the mobility behaviors of the users. These decisions are based on the time and location- traces of daily mobility routines and related activities of users and their social relationship. The case study, based on the similarity analysis of the mobility traces, has confirmed the rich opportunities for encountering among people, thus the proposed approach has great promises to reduce the energy consumption of big data dissemination." @default.
- W2852807500 created "2018-07-19" @default.
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- W2852807500 date "2018-01-01" @default.
- W2852807500 modified "2023-10-06" @default.
- W2852807500 title "A New Energy Efficient Big Data Dissemination Approach Using the Opportunistic D2D Communications" @default.
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- W2852807500 doi "https://doi.org/10.1007/978-3-319-94965-9_16" @default.
- W2852807500 hasPublicationYear "2018" @default.
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