Optimización de una red para una casa inteligente basada en IEEE 802.15.4g para una infraestructura de medición avanzada

This article describes the optimization of infrastructure and elements involved in the communication and transmission of information. In the model will minimize the number of points of wireless Access-Point (WAP), taking into account restrictions on capacity, coverage and interference with LTE technology in a WLAN system for a network of sensors IEEE 802.15.4g under the concept of Smart Home through the use of software Matlab and LPSolver, presents a mathematical formulation, which will be used for the location of a set of wireless Access-Point that give coverage to the smart devices using the software LPSolver will facilitate the resolution of equations to provide a reduction of time and resources for the study of design in Smart Metering, through the exemplification of problems which are of great importance for design conditions of wireless networks, applying a hierarchical topology.

[1]  Diane J. Cook,et al.  The role of prediction algorithms in the MavHome smart home architecture , 2002, IEEE Wirel. Commun..

[2]  Federico Viani,et al.  Wireless Architectures for Heterogeneous Sensing in Smart Home Applications: Concepts and Real Implementation , 2013, Proceedings of the IEEE.

[3]  Leandros Tassiulas,et al.  A delay based optimization scheme for peak load reduction in the smart grid , 2012, 2012 Third International Conference on Future Systems: Where Energy, Computing and Communication Meet (e-Energy).

[4]  Hamid Sharif,et al.  Multimedia communications over cognitive radio networks for smart grid applications , 2013, IEEE Wireless Communications.

[5]  Xuehai Zhou,et al.  Smart Grid communication using next generation heterogeneous wireless networks , 2012, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).

[6]  Yide Liu,et al.  Wireless Sensor Network Applications in Smart Grid: Recent Trends and Challenges , 2012, Int. J. Distributed Sens. Networks.

[7]  Roberto Hincapie,et al.  Optimal Planning for Cellular Networks for Smart Metering Infrastructure in Rural and Remote Areas * Óptima Planeación de Redes Celulares para la Infraestructura de Medición Inteligente en Zonas Rurales y Remotas , 2015 .

[8]  Chin-Sean Sum,et al.  Coexistence of homogeneous and heterogeneous systems for IEEE 802.15.4g smart utility networks , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[9]  H. T. Mouftah,et al.  Sensor network web services for Demand-Side Energy Management applications in the smart grid , 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC).

[10]  D. F. R. Hincapie,et al.  Evaluation of mesh-under and route-over routing strategies in AMI systems , 2012, 2012 IEEE Colombian Communications Conference (COLCOM).

[11]  Hyuck M. Kwon,et al.  Optimal resource allocation in Cognitive Smart Grid Networks , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

[12]  Esteban Inga,et al.  Optimal deployment of cellular networks for Advanced Measurement Infrastructure in Smart Grid , 2014, 2014 IEEE Colombian Conference on Communications and Computing (COLCOM).

[13]  Maneesha Vinodini Ramesh,et al.  Design and implementation of user interactive wireless smart home energy management system , 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[14]  Giovanni Pau,et al.  A Novel Energy Management Approach for Smart Homes Using Bluetooth Low Energy , 2015, IEEE Journal on Selected Areas in Communications.

[15]  Dae-Man Han,et al.  Smart home energy management system using IEEE 802.15.4 and zigbee , 2010, IEEE Transactions on Consumer Electronics.

[16]  Stéphane Ploix,et al.  Managing Energy Smart Homes according to Energy Prices: Analysis of a Building Energy Management System , 2014 .

[17]  Hussein T. Mouftah,et al.  Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid , 2011, IEEE Transactions on Smart Grid.

[18]  Mohsen Ebrahimi Moghaddam,et al.  Solving K-Coverage Problem in Wireless Sensor Networks Using Improved Harmony Search , 2010, 2010 International Conference on Broadband, Wireless Computing, Communication and Applications.