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Bordel Sánchez, Borja and Alcarria Garrido, Ramón Pablo and Sánchez de Rivera, Diego and Sánchez-Picot, Álvaro (2016). Predictive algorithms for mobility and device lifecycle management in Cyber- Physical Systems. "EURASIP Journal on Wireless Communications and Networking" (n. 228); pp. 1-13. ISSN 1687-1499. https://doi.org/10.1186/s13638-016-0731-0.
Title: | Predictive algorithms for mobility and device lifecycle management in Cyber- Physical Systems |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | EURASIP Journal on Wireless Communications and Networking |
Date: | 2016 |
ISSN: | 1687-1499 |
Subjects: | |
Freetext Keywords: | Cyber-Physical Systems, Mobility management, Device lifecycle, Predictive models, CPS simulation, Interpolation algorithms |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Ingeniería de Sistemas Telemáticos |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Cyber-Physical Systems (CPS) are often composed of a great number of mobile, wireless networked devices. In order to guarantee the system performing, management policies focused on becoming transparent to high-level applications, the changes in the hardware platform have to be implemented. However, traditional reactive methodologies and basic proposed predictive solutions are not valid either due to the extremely dynamical behavior of CPS or because the high number of involved devices prevents fulfill the timing requirements. Therefore, in this paper, we present an advance predictive solution for managing the mobility and device lifecycle, being able to meet all requirements of CPS. The solution is based on an infinite loop, which calculates, in each iteration, a sequence of future system states using a CPS simulator and interpolation algorithms. Furthermore, an experimental validation is provided in order to determine the performing of the proposed solution.
Item ID: | 43576 |
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DC Identifier: | https://oa.upm.es/43576/ |
OAI Identifier: | oai:oa.upm.es:43576 |
DOI: | 10.1186/s13638-016-0731-0 |
Official URL: | https://doi.org/10.1186/s13638-016-0731-0 |
Deposited by: | Memoria Investigacion |
Deposited on: | 24 Oct 2016 18:15 |
Last Modified: | 30 Nov 2022 09:00 |