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Sökning: L773:2327 4662 > (2015)

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1.
  • Hahm, Oliver, et al. (författare)
  • Operating Systems for Low-End Devices in the Internet of Things : a Survey
  • 2015. - 7
  • Ingår i: IEEE Internet of Things Journal. - 2327-4662. ; 3:5, s. 720-734
  • Tidskriftsartikel (refereegranskat)abstract
    • The Internet of Things (IoT) is projected to soon interconnect tens of billions of new devices, in large part also connected to the Internet. IoT devices include both high-end devices which can use traditional go-to operating systems (OSs) such as Linux, and low-end devices which cannot, due to stringent resource constraints, e.g., very limited memory, computational power, and power supply. However, large-scale IoT software development, deployment, and maintenance requires an appropriate OS to build upon. In this paper, we thus analyze in detail the specific requirements that an OS should satisfy to run on low-end IoT devices, and we survey applicable OSs, focusing on candidates that could become an equivalent of Linux for such devices, i.e., a one-size-fits-most, open source OS for low-end IoT devices.
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2.
  • Ramazanali, Hawar, 1979-, et al. (författare)
  • Performance Evaluation of LTE/LTE-A DRX : A Markovian Approach
  • 2015
  • Ingår i: IEEE Internet of Things Journal. - Piscataway, NJ : IEEE Press. - 2327-4662. ; 3:3, s. 386-397
  • Tidskriftsartikel (refereegranskat)abstract
    • LTE/LTE-A are emerging communication technologies on the way towards 5G telecommunication systems. Ubiquitous adoption of connectivity in between different kinds of sensors, wearable devices and other low-power equipment raises an importance of the energy-efficient wireless communications. In LTE/LTE-A the Discontinuous Reception Mechanism (DRX) aims at power saving of User Equipment (UE) devices. In the paper we present an analysis of DRX, which is novel in two dimensions. First, our analytical approach is different to existing ones due to the use of Markov chain instead of a semi-Markov ones. Secondly, along with the generic traffic models we also analyze the efficiency of DRX for military training application systems, what has not been done before. We suggest few practical recommendations regarding the DRX parameters tuning also. © 2015 IEEE.
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Vinel, Alexey, 1983- (1)
Tsiftes, Nicolas (1)
Petersen, Hauke (1)
Hahm, Oliver (1)
Baccelli, Emmanuel (1)
Ramazanali, Hawar, 1 ... (1)
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