Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes
Este artículo se desarrolla con base en redes de sensores sobre Smart Grids, en conjunto con una metodología de gestión apropiada que nos permita analizar y comprobar mediante una simulación el comportamiento de estas redes inalámbricas de una manera interna, dentro de una vivienda u hogar inteligen...
- Autores:
-
Andrade Montoya, Paúl Alexander
Morejón Bastidas, José Luis
Inga Ortega, Esteban Mauricio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8175
- Acceso en línea:
- https://hdl.handle.net/11323/8175
https://doi.org/10.17981/ingecuc.12.2.2016.07
https://repositorio.cuc.edu.co/
- Palabra clave:
- Redes de sensores inalámbricos
Hogares inteligentes
Cobertura
Infraestructura de medición avanzada
Interior
Optimización
Wireless sensor network
Smart home
Coverage
Advanced metering infrastructure
Indoor
Optimization
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
| id |
RCUC2_997b0b101da3363c3c35432de211c06c |
|---|---|
| oai_identifier_str |
oai:repositorio.cuc.edu.co:11323/8175 |
| network_acronym_str |
RCUC2 |
| network_name_str |
REDICUC - Repositorio CUC |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes |
| dc.title.translated.eng.fl_str_mv |
Maximum coverage of wireless sensor networks for an energy management system in smart homes |
| title |
Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes |
| spellingShingle |
Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes Redes de sensores inalámbricos Hogares inteligentes Cobertura Infraestructura de medición avanzada Interior Optimización Wireless sensor network Smart home Coverage Advanced metering infrastructure Indoor Optimization |
| title_short |
Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes |
| title_full |
Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes |
| title_fullStr |
Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes |
| title_full_unstemmed |
Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes |
| title_sort |
Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes |
| dc.creator.fl_str_mv |
Andrade Montoya, Paúl Alexander Morejón Bastidas, José Luis Inga Ortega, Esteban Mauricio |
| dc.contributor.author.spa.fl_str_mv |
Andrade Montoya, Paúl Alexander Morejón Bastidas, José Luis Inga Ortega, Esteban Mauricio |
| dc.subject.proposal.spa.fl_str_mv |
Redes de sensores inalámbricos Hogares inteligentes Cobertura Infraestructura de medición avanzada Interior Optimización |
| topic |
Redes de sensores inalámbricos Hogares inteligentes Cobertura Infraestructura de medición avanzada Interior Optimización Wireless sensor network Smart home Coverage Advanced metering infrastructure Indoor Optimization |
| dc.subject.proposal.eng.fl_str_mv |
Wireless sensor network Smart home Coverage Advanced metering infrastructure Indoor Optimization |
| description |
Este artículo se desarrolla con base en redes de sensores sobre Smart Grids, en conjunto con una metodología de gestión apropiada que nos permita analizar y comprobar mediante una simulación el comportamiento de estas redes inalámbricas de una manera interna, dentro de una vivienda u hogar inteligente, teniendo en cuenta varios parámetros o restricciones como son la distancia de cobertura, la capacidad y el porcentaje de cobertura. Para ello se describe la infraestructura de redes inteligentes y se plantea un modelo matemático para minimizar la distancia de los sensores a los puntos de acceso dentro del área considerada. Además está enfocado en el diseño de estas redes inteligentes, donde se realiza una optimización de los diferentes puntos factibles, con lo que se logra una máxima cobertura de los sensores para implementar un adecuado sistema de gestión de energía en hogares inteligentes, basado en un servicio fiable de la conectividad de la red. |
| publishDate |
2016 |
| dc.date.issued.none.fl_str_mv |
2016 |
| dc.date.accessioned.none.fl_str_mv |
2021-04-22T16:47:29Z |
| dc.date.available.none.fl_str_mv |
2021-04-22T16:47:29Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
acceptedVersion |
| dc.identifier.citation.spa.fl_str_mv |
P. Andrade, J. Morejón y E. Inga. “Cobertura Máxima de Redes de Sensores Inalámbricos para un Sistema de Gestión de Energía en Hogares Inteligentes”, INGE CUC, vol. 12, No. 2, pp.68-78, 2016. DOI: http://dx.doi.org/10.17981/ingecuc.12.2.2016.07 |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/8175 |
| dc.identifier.url.spa.fl_str_mv |
https://doi.org/10.17981/ingecuc.12.2.2016.07 |
| dc.identifier.doi.spa.fl_str_mv |
10.17981/ingecuc.12.2.2016.07 |
| dc.identifier.eissn.spa.fl_str_mv |
2382-4700 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.pissn.spa.fl_str_mv |
0122-6517 |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
P. Andrade, J. Morejón y E. Inga. “Cobertura Máxima de Redes de Sensores Inalámbricos para un Sistema de Gestión de Energía en Hogares Inteligentes”, INGE CUC, vol. 12, No. 2, pp.68-78, 2016. DOI: http://dx.doi.org/10.17981/ingecuc.12.2.2016.07 10.17981/ingecuc.12.2.2016.07 2382-4700 Corporación Universidad de la Costa 0122-6517 REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/8175 https://doi.org/10.17981/ingecuc.12.2.2016.07 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.ispartofseries.spa.fl_str_mv |
INGE CUC; Vol. 12, Núm. 2 (2016) |
| dc.relation.ispartofjournal.spa.fl_str_mv |
INGE CUC INGE CUC |
| dc.relation.references.spa.fl_str_mv |
M. Erol-Kantarci and H. T. Mouftah, “Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid”, IEEE Trans. Smart Grid, vol. 2, n° 2, pp. 314 -325, 2011. L. Olivier, “Wireless Sensor Networking of Everyday Objects in a Smart Home Environment”, pp. 189-194, 2008. D. Han and J. Lim, “Smart home energy management system using IEEE 802.15.4 and zigbee,” IEEE Trans. Consum. Electron., vol. 56, no. 3, pp. 1403–1410, Aug. 2010. O. Asad, M. Erol-Kantarci, and H. Mouftah, “Sensor network web services for Demand-Side Energy Management applications in the smart grid,” in 2011 IEEE Consumer Communications and Networking Conference (CCNC), 2011, pp. 1176–1180. M. El Brak and M. Essaaidi, “Wireless sensor network in home automation network and smart grid,” Complex Syst. (ICCS), 2012 Int. Conf., pp. 1–6, 2012. X. Hao, Y. Wang, C. Wu, A. Y. Wang, L. Song, C. Hu, and L. Yu, “Smart meter deployment optimization for efficient electrical appliance state monitoring”, 2012 IEEE Third Int. Conf. Smart Grid Commun, pp. 25-30, 2012. K. Islam, W. Shen, and X. Wang, “Security and privacy considerations for Wireless Sensor Networks in smart home environments”, Proc. 2012 IEEE 16th Int. Conf. Comput. Support. Coop. Work Des, pp. 626–633, 2012. D. F. Ramirez Hincapie and S. Cespedes, “Evaluation of mesh-under and route-over routing strategies in AMI systems,” in 2012 IEEE Colombian Communications Conference (COLCOM), 2012, pp. 1–6. N. H. Maghsoodi, M. Haghnegahdar, A. H. Jahangir, and E. Sanaei, “Performance evaluation of energy management system in smart home using wireless sensor network” , Smart Grids (ICSG), 2012 2nd Iran. Conf., pp. 1-8, 2012. M. Li and H.-J. Lin, “Design and Implementation of Smart Home Control Systems Based on Wireless Sensor Networks and Power Line Communications” , IEEE Trans. Ind. Electron., vol. 62, no. 7, pp. 4430-4442, 2014 G. Koutitas and L. Tassiulas, “A delay based optimization scheme for peak load reduction in the smart grid” , Proc. 3rd Int. Conf. Futur. Energy Syst. Where Energy, Comput. Commun. Meet - e-Energy ’12, pp. 1-4, 2012. R. Ma and W. Meng, “Coexistence of smart utility networks and WLAN/ZigBee in smart grid” , 2012 IEEE Third Int. Conf. Smart Grid Commun., pp. 211-216, 2012. O. In, “An Interference Management Protocol for Multiple Physical Layers in IEEE” , , pp. 84-91, April 2013. T. Rui, X. Guoliang, L. Benyuan, W. Jianping, and J. Xiaohua, “Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks” , Networking, IEEE/ ACM Trans., vol. 20, n° 2, pp. 450-462, 2012. Z. Shuaishuai, C. Sencun, and Z. Baihai, “Dynamic Differential Evolution Strategy Localization for Wireless Sensor Networks in Three-dimensional Space” , pp. 8423-8427, 2016. N. Chakraborty and S. M. Allayear, “Optimal Coverage of Wireless Sensor Network using Termite Colony Optimization Algorithm” , pp. 21–23, May 2015. Q. Wang, G. Guo, and L. Cao, “Coverage strategy based on Voronoi geometric relationship for wireless sensor networks” , Proc. 2015 27th Chinese Control Decis. Conf. CCDC 2015, pp. 1465-1469, 2015 Z. Jingxuan, C. U. I. Lingguo, C. Senchun, and G. Zixiao, “A Localization Strategy Based On A Region Division For Wireless Sensor Networks” , n° 61203144, pp. 8433-8437, 2016. M. Y. Fathany and T. Adiono, “Wireless Protocol Design for Smart Home on Mesh Wireless Sensor Network” , pp. 462-467, 2015. N. P. Sahari, “Smart Home System Using A Wireless Sensor Network For Elderly Care” , pp. 51-55, 2016 S. Al-Sharaeh, R. Hasan, and I. Salah, “An efficient routing technique that maximizes the lifetime and coverage of wireless sensor networks” , 2012 2nd Int. Conf. Digit. Inf. Commun. Technol. its Appl. DICTAP 2012, pp. 13- 18, 2012 M. Xu, L. Ma, F. Xia, T. Yuan, J. Qian, and M. Shao, “Design and Implementation of a Wireless Sensor Network for Smart Homes,” in 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing, 2010, pp. 239–243. N. H. Maghsoodi, M. Haghnegahdar, A. H. Jahangir, and E. Sanaei, “Performance evaluation of energy management system in smart home using wireless sensor network” , In Smart Grids (ICSG), 2012 2nd Iran. Conf., pp. 1-8, 2012. M. Collotta and G. Pau, “A Novel Energy Management Approach for Smart Homes Using Bluetooth Low Energy” , vol. 33, n° 12, pp. 2988-2996, 2015. R. Ferri, M. Kim, and E. Yee, “Energy Efficient Smart Home Monitoring System in Wireless Sensor Network” , US Pat. App. 10/856,684, n° 1406, 2004. R. S. Ransing and M. Rajput, “Smart home for elderly care, based on Wireless Sensor Network” , 2015 Int. Conf. Nascent Technol. Eng. F., pp. 1-5, 2015. A. Boustani, M. Jadliwala, H. M. Kwon, and N. Alamatsaz, “Optimal Resource Allocation in Cognitive Smart Grid Networks” , pp. 499-506, 2015. Y. Li, “Design of a Key Establishment Protocol for Smart Home Energy Management System” , 2013 Fifth Int. Conf. Comput. Intell. Commun. Syst. Networks, pp. 88- 93, 2013. F. Viani, F. Robol, A. Polo, P. Rocca, G. Oliveri, and A. Massa, “Wireless architectures for heterogeneous sensing in smart home applications: Concepts and real implementation” , Proc. IEEE, vol. 101, n° 11, pp. 2381- 2396, 2013. A. R. Devidas, T. S. Subeesh, and M. V. Ramesh, “Design and implementation of user interactive wireless smart home energy management system” , in 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013, pp. 626-631. P. H. Cheah, R. Zhang, H. B. Gooi, S. Member, H. Yu, and M. K. Foo, “Consumer Energy Portal and Home Energy Management System for Smart Grid Applications” , Conf. Power Energy 2012, pp. 407-411, November 2012. Y. Liu, “Wireless Sensor Network Applications in Smart Grid : Recent Trends and Challenges” , vol. 2012, pp. 2-7, 2012. H. Pensas, M. Valtonen, and J. Vanhala, “Wireless Sensor Networks Energy Optimization Using User Location Information in Smart Homes” , 2011 Int. Conf. Broadband Wirel. Comput. Commun. Appl., pp. 351-356, 2011. H. Wang, Y. Qian, and H. Sharif, “Multimedia communications over cognitive radio networks for smart grid applications” , IEEE Wirel. Commun., vol. 20, , pp. 125– 132, August 2013 S.-M. Kazempour-Radi and M.-H. Rafiei-Sakhaei, “A utilization of wireless sensor network in smart homes, reviewing its combination with modern cellular networks,” in 2011 International Conference on Communication and Industrial Application, 2011, pp. 1–5. J. Melorose, R. Perroy, and S. Careas, “Smart Home Platform based on Optimized Wireless Sensor Network Protocol and Scalable Architecture” , Statew. Agric. L. Use Baseline 2015, vol. 1, pp. 0-4, 2015. Y. Wang, “The design of smart home system based on wireless sensor network,” in 2013 IEEE 4th International Conference on Electronics Information and Emergency Communication, 2013, pp. 106–108. F. Carrabs, R. Cerulli, C. D´Ambrosio, M. Gentili, and A. Raiconi, “Maximizing lifetime in wireless sensor networks with multiple sensor families” , Comput. Oper. Res., vol. 60, pp. 121-137, 2015. N. Dziengel, M. Seiffert, M. Ziegert, S. Adler, S. Pfeiffer, and J. Schiller, “Deployment and evaluation of a fully applicable distributed event detection system in Wireless Sensor Networks” , Ad Hoc Networks, vol. 37, pp. 160-182, 2013. E. J. Palacios-García, J. M. Flores-Arias, A. Chen, F. J. Quiles-Latorre, and F. J. Bellido-Outeiriño, “Home energy management system based on daily demand prediction and ZigBee network” , 2015 IEEE Int. Conf. Consum. Electron. ICCE 2015, pp. 315-316, 2015. S.-J. Lim, G.-J. Kim, and D. Kim, “An Energy Efficient Clustering in Wireless Sensor Networks” , Adv. Sci. Technol. Lett., vol. 95, n° CIA 2015, pp. 37-42, 2015. D. Zhong, W. Ji, Y. Liu, J. Han, and S. Li, “An improved routing algorithm of Zigbee wireless sensor network for smart home system” , 5th Int. Conf. Autom. Robot. Appl., pp. 346-350, 2011. A. Miraoui, K. Mabrouk, H. Snoussi, A. Amerhaye, and J. Duchene, “A large scale and low cost solution for realtime indoor localisation based on wireless sensor network,” in International Workshop on Systems, Signal Processing and their Applications, WOSSPA, 2011, pp. 392–395. P.-V. Mekikis, G. Athanasiou, and C. Fischione, “A Wireless Sensor Network Testbed for Event Detection in Smart Homes” , 2013 IEEE Int. Conf. Distrib. Comput. Sens. Syst., pp. 321-322, 2013. A. K. Mishra and A. K. Turuk, “A comparative analysis of node replica detection schemes in wireless sensor networks” , J. Netw. Comput. Appl., vol. 61, pp. 21-32, 2016. E. Inga, “Redes de Comunicación en Smart Grid” , INGENIUS. N°7, pp. 36-55, 2012. I. F. Akyildiz, T. Melodia, and K. R. Chowdhury, “A survey on wireless multimedia sensor networks” , Comput. Networks, vol. 51, no. 4, pp. 921-960, 2007. S. Zahurul, N. Mariun, I. V. Grozescu, H. Tsuyoshi, Y. Mitani, M. L. Othman, H. Hizam, and I. Z. Abidin, “Future strategic plan analysis for integrating distributed renewable generation to smart grid through wireless sensor network: Malaysia prospect” , Renew. Sustain. Energy Rev., vol. 53, pp. 978-992, 2016. L. Liang, L. Huang, X. Jiang, and Y. Yao, “Design and implementation of wireless Smart-home sensor network based on ZigBee protocol” , 2008 Int. Conf. Commun. Circuits Syst. Proceedings, ICCCAS 2008, pp. 434-438, 2008. R. Rios, J. Cuellar, and J. Lopez, “Probabilistic receiverlocation privacy protection in wireless sensor networks”, Inf. Sci. (Ny)., vol. 321, pp. 205-223, 2015. |
| dc.relation.citationendpage.spa.fl_str_mv |
78 |
| dc.relation.citationstartpage.spa.fl_str_mv |
68 |
| dc.relation.citationissue.spa.fl_str_mv |
2 |
| dc.relation.citationvolume.spa.fl_str_mv |
12 |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
INGE CUC |
| dc.rights.spa.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International |
| dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.spa.fl_str_mv |
11 páginas |
| dc.format.mimetype.spa.fl_str_mv |
application/pdf |
| dc.publisher.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.source.spa.fl_str_mv |
INGE CUC |
| institution |
Corporación Universidad de la Costa |
| dc.source.url.spa.fl_str_mv |
https://revistascientificas.cuc.edu.co/index.php/ingecuc/article/view/860 |
| bitstream.url.fl_str_mv |
https://repositorio.cuc.edu.co/bitstreams/44946698-dfcb-4dd8-9251-9011ba53ab75/download https://repositorio.cuc.edu.co/bitstreams/ec803f0e-4686-42f2-b762-356118407bf3/download https://repositorio.cuc.edu.co/bitstreams/785ced74-413e-4132-ab71-dd2602d98114/download https://repositorio.cuc.edu.co/bitstreams/02416a66-f6e7-4cf4-b27d-8c0a48a26da2/download https://repositorio.cuc.edu.co/bitstreams/3b708fa5-028f-49d2-be80-0681c4984531/download https://repositorio.cuc.edu.co/bitstreams/1fecad4b-5753-4c18-b62a-bfff21574477/download https://repositorio.cuc.edu.co/bitstreams/b8a468a0-7862-4d74-a8c0-b352218d4bf7/download https://repositorio.cuc.edu.co/bitstreams/3e7f3885-5d87-4338-b81a-4e2a974db8e1/download |
| bitstream.checksum.fl_str_mv |
b0e0fc964bae22461b380fe002c58d7a cf437e55f31a4cf5675fa1995be14b7e 4460e5956bc1d1639be9ae6146a50347 e30e9215131d99561d40d6b0abbe9bad be55579665e0d3af2802b1ab301e0549 5ca344658fb7082fd516aef06afc1ae5 12e5d88984fdb203079a4115bdc588e1 5ca344658fb7082fd516aef06afc1ae5 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio de la Universidad de la Costa CUC |
| repository.mail.fl_str_mv |
repdigital@cuc.edu.co |
| _version_ |
1811760782176681984 |
| spelling |
Andrade Montoya, Paúl AlexanderMorejón Bastidas, José LuisInga Ortega, Esteban Mauricio2021-04-22T16:47:29Z2021-04-22T16:47:29Z2016P. Andrade, J. Morejón y E. Inga. “Cobertura Máxima de Redes de Sensores Inalámbricos para un Sistema de Gestión de Energía en Hogares Inteligentes”, INGE CUC, vol. 12, No. 2, pp.68-78, 2016. DOI: http://dx.doi.org/10.17981/ingecuc.12.2.2016.07https://hdl.handle.net/11323/8175https://doi.org/10.17981/ingecuc.12.2.2016.0710.17981/ingecuc.12.2.2016.072382-4700Corporación Universidad de la Costa0122-6517REDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Este artículo se desarrolla con base en redes de sensores sobre Smart Grids, en conjunto con una metodología de gestión apropiada que nos permita analizar y comprobar mediante una simulación el comportamiento de estas redes inalámbricas de una manera interna, dentro de una vivienda u hogar inteligente, teniendo en cuenta varios parámetros o restricciones como son la distancia de cobertura, la capacidad y el porcentaje de cobertura. Para ello se describe la infraestructura de redes inteligentes y se plantea un modelo matemático para minimizar la distancia de los sensores a los puntos de acceso dentro del área considerada. Además está enfocado en el diseño de estas redes inteligentes, donde se realiza una optimización de los diferentes puntos factibles, con lo que se logra una máxima cobertura de los sensores para implementar un adecuado sistema de gestión de energía en hogares inteligentes, basado en un servicio fiable de la conectividad de la red.This article was developed based on sensor networks for Smart Grids, together with appropriate management methodology which it allows us to analyze and check by a simulation the behavior of these wireless networks in an internal way, inside of a dwelling or smart home, knowing that we use different parameters or restrictions like the coverage distance, the capacity and the percentage of coverage. For this we described the intelligent network infrastructure and we propose a mathematical model to minimize the distance from the sensors to the access points inside the considered area. Additionally, this paper is focused on the design of these smart grids. An optimization of the different feasible points is presented, obtaining a maximum coverage of the sensors, in order to implement an appropriate energy management system in smart homes, based on reliable service network connectivityAndrade Montoya, Paúl AlexanderMorejón Bastidas, José LuisInga Ortega, Esteban Mauricio11 páginasapplication/pdfspaCorporación Universidad de la CostaINGE CUC; Vol. 12, Núm. 2 (2016)INGE CUCINGE CUCM. Erol-Kantarci and H. T. Mouftah, “Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid”, IEEE Trans. Smart Grid, vol. 2, n° 2, pp. 314 -325, 2011.L. Olivier, “Wireless Sensor Networking of Everyday Objects in a Smart Home Environment”, pp. 189-194, 2008.D. Han and J. Lim, “Smart home energy management system using IEEE 802.15.4 and zigbee,” IEEE Trans. Consum. Electron., vol. 56, no. 3, pp. 1403–1410, Aug. 2010.O. Asad, M. Erol-Kantarci, and H. Mouftah, “Sensor network web services for Demand-Side Energy Management applications in the smart grid,” in 2011 IEEE Consumer Communications and Networking Conference (CCNC), 2011, pp. 1176–1180.M. El Brak and M. Essaaidi, “Wireless sensor network in home automation network and smart grid,” Complex Syst. (ICCS), 2012 Int. Conf., pp. 1–6, 2012.X. Hao, Y. Wang, C. Wu, A. Y. Wang, L. Song, C. Hu, and L. Yu, “Smart meter deployment optimization for efficient electrical appliance state monitoring”, 2012 IEEE Third Int. Conf. Smart Grid Commun, pp. 25-30, 2012.K. Islam, W. Shen, and X. Wang, “Security and privacy considerations for Wireless Sensor Networks in smart home environments”, Proc. 2012 IEEE 16th Int. Conf. Comput. Support. Coop. Work Des, pp. 626–633, 2012.D. F. Ramirez Hincapie and S. Cespedes, “Evaluation of mesh-under and route-over routing strategies in AMI systems,” in 2012 IEEE Colombian Communications Conference (COLCOM), 2012, pp. 1–6.N. H. Maghsoodi, M. Haghnegahdar, A. H. Jahangir, and E. Sanaei, “Performance evaluation of energy management system in smart home using wireless sensor network” , Smart Grids (ICSG), 2012 2nd Iran. Conf., pp. 1-8, 2012.M. Li and H.-J. Lin, “Design and Implementation of Smart Home Control Systems Based on Wireless Sensor Networks and Power Line Communications” , IEEE Trans. Ind. Electron., vol. 62, no. 7, pp. 4430-4442, 2014G. Koutitas and L. Tassiulas, “A delay based optimization scheme for peak load reduction in the smart grid” , Proc. 3rd Int. Conf. Futur. Energy Syst. Where Energy, Comput. Commun. Meet - e-Energy ’12, pp. 1-4, 2012.R. Ma and W. Meng, “Coexistence of smart utility networks and WLAN/ZigBee in smart grid” , 2012 IEEE Third Int. Conf. Smart Grid Commun., pp. 211-216, 2012.O. In, “An Interference Management Protocol for Multiple Physical Layers in IEEE” , , pp. 84-91, April 2013.T. Rui, X. Guoliang, L. Benyuan, W. Jianping, and J. Xiaohua, “Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks” , Networking, IEEE/ ACM Trans., vol. 20, n° 2, pp. 450-462, 2012.Z. Shuaishuai, C. Sencun, and Z. Baihai, “Dynamic Differential Evolution Strategy Localization for Wireless Sensor Networks in Three-dimensional Space” , pp. 8423-8427, 2016.N. Chakraborty and S. M. Allayear, “Optimal Coverage of Wireless Sensor Network using Termite Colony Optimization Algorithm” , pp. 21–23, May 2015.Q. Wang, G. Guo, and L. Cao, “Coverage strategy based on Voronoi geometric relationship for wireless sensor networks” , Proc. 2015 27th Chinese Control Decis. Conf. CCDC 2015, pp. 1465-1469, 2015Z. Jingxuan, C. U. I. Lingguo, C. Senchun, and G. Zixiao, “A Localization Strategy Based On A Region Division For Wireless Sensor Networks” , n° 61203144, pp. 8433-8437, 2016.M. Y. Fathany and T. Adiono, “Wireless Protocol Design for Smart Home on Mesh Wireless Sensor Network” , pp. 462-467, 2015.N. P. Sahari, “Smart Home System Using A Wireless Sensor Network For Elderly Care” , pp. 51-55, 2016S. Al-Sharaeh, R. Hasan, and I. Salah, “An efficient routing technique that maximizes the lifetime and coverage of wireless sensor networks” , 2012 2nd Int. Conf. Digit. Inf. Commun. Technol. its Appl. DICTAP 2012, pp. 13- 18, 2012M. Xu, L. Ma, F. Xia, T. Yuan, J. Qian, and M. Shao, “Design and Implementation of a Wireless Sensor Network for Smart Homes,” in 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing, 2010, pp. 239–243.N. H. Maghsoodi, M. Haghnegahdar, A. H. Jahangir, and E. Sanaei, “Performance evaluation of energy management system in smart home using wireless sensor network” , In Smart Grids (ICSG), 2012 2nd Iran. Conf., pp. 1-8, 2012.M. Collotta and G. Pau, “A Novel Energy Management Approach for Smart Homes Using Bluetooth Low Energy” , vol. 33, n° 12, pp. 2988-2996, 2015.R. Ferri, M. Kim, and E. Yee, “Energy Efficient Smart Home Monitoring System in Wireless Sensor Network” , US Pat. App. 10/856,684, n° 1406, 2004.R. S. Ransing and M. Rajput, “Smart home for elderly care, based on Wireless Sensor Network” , 2015 Int. Conf. Nascent Technol. Eng. F., pp. 1-5, 2015.A. Boustani, M. Jadliwala, H. M. Kwon, and N. Alamatsaz, “Optimal Resource Allocation in Cognitive Smart Grid Networks” , pp. 499-506, 2015.Y. Li, “Design of a Key Establishment Protocol for Smart Home Energy Management System” , 2013 Fifth Int. Conf. Comput. Intell. Commun. Syst. Networks, pp. 88- 93, 2013.F. Viani, F. Robol, A. Polo, P. Rocca, G. Oliveri, and A. Massa, “Wireless architectures for heterogeneous sensing in smart home applications: Concepts and real implementation” , Proc. IEEE, vol. 101, n° 11, pp. 2381- 2396, 2013.A. R. Devidas, T. S. Subeesh, and M. V. Ramesh, “Design and implementation of user interactive wireless smart home energy management system” , in 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013, pp. 626-631.P. H. Cheah, R. Zhang, H. B. Gooi, S. Member, H. Yu, and M. K. Foo, “Consumer Energy Portal and Home Energy Management System for Smart Grid Applications” , Conf. Power Energy 2012, pp. 407-411, November 2012.Y. Liu, “Wireless Sensor Network Applications in Smart Grid : Recent Trends and Challenges” , vol. 2012, pp. 2-7, 2012.H. Pensas, M. Valtonen, and J. Vanhala, “Wireless Sensor Networks Energy Optimization Using User Location Information in Smart Homes” , 2011 Int. Conf. Broadband Wirel. Comput. Commun. Appl., pp. 351-356, 2011.H. Wang, Y. Qian, and H. Sharif, “Multimedia communications over cognitive radio networks for smart grid applications” , IEEE Wirel. Commun., vol. 20, , pp. 125– 132, August 2013S.-M. Kazempour-Radi and M.-H. Rafiei-Sakhaei, “A utilization of wireless sensor network in smart homes, reviewing its combination with modern cellular networks,” in 2011 International Conference on Communication and Industrial Application, 2011, pp. 1–5.J. Melorose, R. Perroy, and S. Careas, “Smart Home Platform based on Optimized Wireless Sensor Network Protocol and Scalable Architecture” , Statew. Agric. L. Use Baseline 2015, vol. 1, pp. 0-4, 2015.Y. Wang, “The design of smart home system based on wireless sensor network,” in 2013 IEEE 4th International Conference on Electronics Information and Emergency Communication, 2013, pp. 106–108.F. Carrabs, R. Cerulli, C. D´Ambrosio, M. Gentili, and A. Raiconi, “Maximizing lifetime in wireless sensor networks with multiple sensor families” , Comput. Oper. Res., vol. 60, pp. 121-137, 2015.N. Dziengel, M. Seiffert, M. Ziegert, S. Adler, S. Pfeiffer, and J. Schiller, “Deployment and evaluation of a fully applicable distributed event detection system in Wireless Sensor Networks” , Ad Hoc Networks, vol. 37, pp. 160-182, 2013.E. J. Palacios-García, J. M. Flores-Arias, A. Chen, F. J. Quiles-Latorre, and F. J. Bellido-Outeiriño, “Home energy management system based on daily demand prediction and ZigBee network” , 2015 IEEE Int. Conf. Consum. Electron. ICCE 2015, pp. 315-316, 2015.S.-J. Lim, G.-J. Kim, and D. Kim, “An Energy Efficient Clustering in Wireless Sensor Networks” , Adv. Sci. Technol. Lett., vol. 95, n° CIA 2015, pp. 37-42, 2015.D. Zhong, W. Ji, Y. Liu, J. Han, and S. Li, “An improved routing algorithm of Zigbee wireless sensor network for smart home system” , 5th Int. Conf. Autom. Robot. Appl., pp. 346-350, 2011.A. Miraoui, K. Mabrouk, H. Snoussi, A. Amerhaye, and J. Duchene, “A large scale and low cost solution for realtime indoor localisation based on wireless sensor network,” in International Workshop on Systems, Signal Processing and their Applications, WOSSPA, 2011, pp. 392–395.P.-V. Mekikis, G. Athanasiou, and C. Fischione, “A Wireless Sensor Network Testbed for Event Detection in Smart Homes” , 2013 IEEE Int. Conf. Distrib. Comput. Sens. Syst., pp. 321-322, 2013.A. K. Mishra and A. K. Turuk, “A comparative analysis of node replica detection schemes in wireless sensor networks” , J. Netw. Comput. Appl., vol. 61, pp. 21-32, 2016.E. Inga, “Redes de Comunicación en Smart Grid” , INGENIUS. N°7, pp. 36-55, 2012.I. F. Akyildiz, T. Melodia, and K. R. Chowdhury, “A survey on wireless multimedia sensor networks” , Comput. Networks, vol. 51, no. 4, pp. 921-960, 2007.S. Zahurul, N. Mariun, I. V. Grozescu, H. Tsuyoshi, Y. Mitani, M. L. Othman, H. Hizam, and I. Z. Abidin, “Future strategic plan analysis for integrating distributed renewable generation to smart grid through wireless sensor network: Malaysia prospect” , Renew. Sustain. Energy Rev., vol. 53, pp. 978-992, 2016.L. Liang, L. Huang, X. Jiang, and Y. Yao, “Design and implementation of wireless Smart-home sensor network based on ZigBee protocol” , 2008 Int. Conf. Commun. Circuits Syst. Proceedings, ICCCAS 2008, pp. 434-438, 2008.R. Rios, J. Cuellar, and J. Lopez, “Probabilistic receiverlocation privacy protection in wireless sensor networks”, Inf. Sci. (Ny)., vol. 321, pp. 205-223, 2015.7868212INGE CUCAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2INGE CUChttps://revistascientificas.cuc.edu.co/index.php/ingecuc/article/view/860Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentesMaximum coverage of wireless sensor networks for an energy management system in smart homesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionRedes de sensores inalámbricosHogares inteligentesCoberturaInfraestructura de medición avanzadaInteriorOptimizaciónWireless sensor networkSmart homeCoverageAdvanced metering infrastructureIndoorOptimizationPublicationORIGINALCobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes.pdfCobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes.pdfapplication/pdf2433468https://repositorio.cuc.edu.co/bitstreams/44946698-dfcb-4dd8-9251-9011ba53ab75/downloadb0e0fc964bae22461b380fe002c58d7aMD5107-0860-12-2.html07-0860-12-2.htmltext/html82641https://repositorio.cuc.edu.co/bitstreams/ec803f0e-4686-42f2-b762-356118407bf3/downloadcf437e55f31a4cf5675fa1995be14b7eMD55CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.cuc.edu.co/bitstreams/785ced74-413e-4132-ab71-dd2602d98114/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/02416a66-f6e7-4cf4-b27d-8c0a48a26da2/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILCobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes.pdf.jpgCobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes.pdf.jpgimage/jpeg54466https://repositorio.cuc.edu.co/bitstreams/3b708fa5-028f-49d2-be80-0681c4984531/downloadbe55579665e0d3af2802b1ab301e0549MD54TEXT07-0860-12-2.html.txt07-0860-12-2.html.txttext/plain49596https://repositorio.cuc.edu.co/bitstreams/1fecad4b-5753-4c18-b62a-bfff21574477/download5ca344658fb7082fd516aef06afc1ae5MD56Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes.pdf.txtCobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes.pdf.txttext/plain52177https://repositorio.cuc.edu.co/bitstreams/b8a468a0-7862-4d74-a8c0-b352218d4bf7/download12e5d88984fdb203079a4115bdc588e1MD57TEXT07-0860-12-2.html.txt07-0860-12-2.html.txttext/plain49596https://repositorio.cuc.edu.co/bitstreams/3e7f3885-5d87-4338-b81a-4e2a974db8e1/download5ca344658fb7082fd516aef06afc1ae5MD5611323/8175oai:repositorio.cuc.edu.co:11323/81752024-09-17 11:07:49.842http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |