Predictive algorithms for mobility and device lifecycle management in Cyber- Physical Systems

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.

Description

Title: Predictive algorithms for mobility and device lifecycle management in Cyber- Physical Systems
Author/s:
  • Bordel Sánchez, Borja
  • Alcarria Garrido, Ramón Pablo
  • Sánchez de Rivera, Diego
  • Sánchez-Picot, Álvaro
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 [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2015-68284-RSEMOLAUniversidad Politécnica de MadridTecnologías de análisis de sentimientos y emociones para agentes sociales empáticos en inteligencia ambiental
Madrid Regional GovernmentS2013/ICE-3019MOSI-AGILUnspecifiedModelado social de inteligencia ambiental aplicado a grandes instalaciones

More information

Item ID: 43576
DC Identifier: http://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: 18 Mar 2019 13:55
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