Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard

The problem of data transmission in wireless sensor networks (WSN), with real time guarantees, is an issue that has important references in the international scientific community, but that still does not have a solution that can completely satisfy this requirement [1]. Therefore, real time data tran...

Full description

Autores:
amelec, viloria
Lizardo Zelaya, Nelson Alberto
Mercado Caruso, Nohora Nubia
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7684
Acceso en línea:
https://hdl.handle.net/11323/7684
https://doi.org/10.1016/j.procs.2020.07.097
https://repositorio.cuc.edu.co/
Palabra clave:
Data transmission
Wireless sensor networks (WSN)
Static planning
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_dbe05cf8af545be32c7e74ac0b3a0a2b
oai_identifier_str oai:repositorio.cuc.edu.co:11323/7684
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard
title Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard
spellingShingle Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard
Data transmission
Wireless sensor networks (WSN)
Static planning
title_short Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard
title_full Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard
title_fullStr Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard
title_full_unstemmed Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard
title_sort Design of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard
dc.creator.fl_str_mv amelec, viloria
Lizardo Zelaya, Nelson Alberto
Mercado Caruso, Nohora Nubia
dc.contributor.author.spa.fl_str_mv amelec, viloria
Lizardo Zelaya, Nelson Alberto
Mercado Caruso, Nohora Nubia
dc.subject.spa.fl_str_mv Data transmission
Wireless sensor networks (WSN)
Static planning
topic Data transmission
Wireless sensor networks (WSN)
Static planning
description The problem of data transmission in wireless sensor networks (WSN), with real time guarantees, is an issue that has important references in the international scientific community, but that still does not have a solution that can completely satisfy this requirement [1]. Therefore, real time data transmission with WSN is considered an open issue with many possibilities of improvement. In this sense, this document presents a new procedure to ensure this type of transmission with WSN, particularly from the planning of the resources available for data transmission in the network, taking as a reference the IEEE 802.15.4 standard.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020
dc.date.accessioned.none.fl_str_mv 2021-01-13T21:41:06Z
dc.date.available.none.fl_str_mv 2021-01-13T21:41:06Z
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.issn.spa.fl_str_mv 1877-0509
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/7684
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.procs.2020.07.097
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
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 1877-0509
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/7684
https://doi.org/10.1016/j.procs.2020.07.097
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv [1] Huang, R., & Zaruba, G. V. (2007, March). Static path planning for mobile beacons to localize sensor networks. In Fifth annual IEEE international conference on pervasive computing and communications workshops (PerComW'07) (pp. 323-330). IEEE.
[2] Kaur, R., Gupta, A., & Goyal, R. (2020). Analysis of Coverage Hole Problem for Detection and Restoration in Wireless Sensor Networks. Advanced Science, Engineering and Medicine, 12(3), 403-408.
[3] Tsilomitrou, O., Tzes, A., & Manesis, S. (2017, July). Mobile robot trajectory planning for large volume data-muling from wireless sensor nodes. In 2017 25th Mediterranean Conference on Control and Automation (MED) (pp. 1005-1010). IEEE.
[4] Renold, A. P., & Ganesh, A. B. (2019). Energy efficient secure data collection with path-constrained mobile sink in duty-cycled unattended wireless sensor network. Pervasive and Mobile Computing, 55, 1-12.
[5] Alomari, A., Comeau, F., Phillips, W., & Aslam, N. (2018). New path planning model for mobile anchor-assisted localization in wireless sensor networks. Wireless Networks, 24(7), 2589-2607.
[6] Alomari, A., Comeau, F., Phillips, W., & Aslam, N. (2018). New path planning model for mobile anchor-assisted localization in wireless sensor networks. Wireless Networks, 24(7), 2589-2607.
[7] Zygowski, C., & Jaekel, A. (2020). Optimal path planning strategies for monitoring coverage holes in Wireless Sensor Networks. Ad Hoc Networks, 96, 101990.
[8] Han, G., Yang, X., Liu, L., Guizani, M., & Zhang, W. (2017). A disaster management-oriented path planning for mobile anchor node-based localization in wireless sensor networks. IEEE Transactions on Emerging Topics in Computing.
[9] Rezazadeh, J., Moradi, M., Ismail, A. S., & Dutkiewicz, E. (2014). Superior path planning mechanism for mobile beacon-assisted localization in wireless sensor networks. IEEE Sensors Journal, 14(9), 3052-3064.
[10] Magadevi, N., Kumar, V. J. S., & Suresh, A. (2018). Maximizing the Network Life Time of Wireless Sensor Networks Using a Mobile Charger. Wireless Personal Communications, 102(2), 1029-1039.
[11] Ma, M., Yang, Y., & Zhao, M. (2012). Tour planning for mobile data-gathering mechanisms in wireless sensor networks. IEEE transactions on vehicular technology, 62(4), 1472-1483.
[12] Subramanian, C. B., & Balakannan, S. P. (2017, March). Optimized trajectory planning for mobile anchors in wireless sensor networks. In 2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) (pp. 1-5). IEEE.
[13] He, X., Fu, X., & Yang, Y. (2019). Energy-Efficient Trajectory Planning Algorithm Based on Multi-Objective PSO for the Mobile Sink in Wireless Sensor Networks. IEEE Access, 7, 176204-176217.
[14] Xia, F., Wang, L., Zhang, D., Zhang, X., & Gao, R. (2012). Ada-MAC: An adaptive MAC protocol for real-time and reliable health monitoring. In 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 203-208). IEEE
[15] El Fissaoui, M., Beni-hssane, A., Ouhmad, S., & El Makkaoui, K. (2020). A Survey on Mobile Agent Itinerary Planning for Information Fusion in Wireless Sensor Networks. Archives of Computational Methods in Engineering, 1-12.
[16] Viloria, A., Senior Naveda, A., Hernández Palma, H., Niebles Núẽz, W., & Niebles Núẽz, L. (2020). Electrical Consumption Patterns through Machine Learning. In Journal of Physics: Conference Series (Vol. 1432). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1432/1/012093.
[17] Viloria, A., Hernández Palma, H., Gamboa Suarez, R., Niebles Núẽz, W., & Solórzano Movilla, J. (2020). Intelligent Model for Electric Power Management: Patterns. In Journal of Physics: Conference Series (Vol. 1432). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1432/1/012032
dc.rights.spa.fl_str_mv CC0 1.0 Universal
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/publicdomain/zero/1.0/
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 CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
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 Procedia Computer Science
institution Corporación Universidad de la Costa
dc.source.url.spa.fl_str_mv https://www.sciencedirect.com/science/article/pii/S187705092031797X
bitstream.url.fl_str_mv https://repositorio.cuc.edu.co/bitstream/11323/7684/1/Design%20of%20a%20Network%20with%20wireless%20sensor%20applied%20to%20data%20transmission%20based%20on%20IEEE%20802.15.4%20standard.pdf
https://repositorio.cuc.edu.co/bitstream/11323/7684/2/license_rdf
https://repositorio.cuc.edu.co/bitstream/11323/7684/3/license.txt
https://repositorio.cuc.edu.co/bitstream/11323/7684/4/Design%20of%20a%20Network%20with%20wireless%20sensor%20applied%20to%20data%20transmission%20based%20on%20IEEE%20802.15.4%20standard.pdf.jpg
https://repositorio.cuc.edu.co/bitstream/11323/7684/5/Design%20of%20a%20Network%20with%20wireless%20sensor%20applied%20to%20data%20transmission%20based%20on%20IEEE%20802.15.4%20standard.pdf.txt
bitstream.checksum.fl_str_mv b92e774b5e461df674c60dba62118c78
42fd4ad1e89814f5e4a476b409eb708c
e30e9215131d99561d40d6b0abbe9bad
3951fa599f45240707cb0771da95f362
62c2653701167b057e77828169349e95
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Universidad de La Costa
repository.mail.fl_str_mv bdigital@metabiblioteca.com
_version_ 1808400201303457792
spelling amelec, viloria2f22a05451ff1bbfc2d4dd00035c952fLizardo Zelaya, Nelson Alberto7745fa78c84a95af117fd9a36213eaaaMercado Caruso, Nohora Nubiad1910994f1ba7cb80b4d32b82aaf8b082021-01-13T21:41:06Z2021-01-13T21:41:06Z20201877-0509https://hdl.handle.net/11323/7684https://doi.org/10.1016/j.procs.2020.07.097Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The problem of data transmission in wireless sensor networks (WSN), with real time guarantees, is an issue that has important references in the international scientific community, but that still does not have a solution that can completely satisfy this requirement [1]. Therefore, real time data transmission with WSN is considered an open issue with many possibilities of improvement. In this sense, this document presents a new procedure to ensure this type of transmission with WSN, particularly from the planning of the resources available for data transmission in the network, taking as a reference the IEEE 802.15.4 standard.application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Procedia Computer Sciencehttps://www.sciencedirect.com/science/article/pii/S187705092031797XData transmissionWireless sensor networks (WSN)Static planningDesign of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standardArtículo 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/acceptedVersion[1] Huang, R., & Zaruba, G. V. (2007, March). Static path planning for mobile beacons to localize sensor networks. In Fifth annual IEEE international conference on pervasive computing and communications workshops (PerComW'07) (pp. 323-330). IEEE.[2] Kaur, R., Gupta, A., & Goyal, R. (2020). Analysis of Coverage Hole Problem for Detection and Restoration in Wireless Sensor Networks. Advanced Science, Engineering and Medicine, 12(3), 403-408.[3] Tsilomitrou, O., Tzes, A., & Manesis, S. (2017, July). Mobile robot trajectory planning for large volume data-muling from wireless sensor nodes. In 2017 25th Mediterranean Conference on Control and Automation (MED) (pp. 1005-1010). IEEE.[4] Renold, A. P., & Ganesh, A. B. (2019). Energy efficient secure data collection with path-constrained mobile sink in duty-cycled unattended wireless sensor network. Pervasive and Mobile Computing, 55, 1-12.[5] Alomari, A., Comeau, F., Phillips, W., & Aslam, N. (2018). New path planning model for mobile anchor-assisted localization in wireless sensor networks. Wireless Networks, 24(7), 2589-2607.[6] Alomari, A., Comeau, F., Phillips, W., & Aslam, N. (2018). New path planning model for mobile anchor-assisted localization in wireless sensor networks. Wireless Networks, 24(7), 2589-2607.[7] Zygowski, C., & Jaekel, A. (2020). Optimal path planning strategies for monitoring coverage holes in Wireless Sensor Networks. Ad Hoc Networks, 96, 101990.[8] Han, G., Yang, X., Liu, L., Guizani, M., & Zhang, W. (2017). A disaster management-oriented path planning for mobile anchor node-based localization in wireless sensor networks. IEEE Transactions on Emerging Topics in Computing.[9] Rezazadeh, J., Moradi, M., Ismail, A. S., & Dutkiewicz, E. (2014). Superior path planning mechanism for mobile beacon-assisted localization in wireless sensor networks. IEEE Sensors Journal, 14(9), 3052-3064.[10] Magadevi, N., Kumar, V. J. S., & Suresh, A. (2018). Maximizing the Network Life Time of Wireless Sensor Networks Using a Mobile Charger. Wireless Personal Communications, 102(2), 1029-1039.[11] Ma, M., Yang, Y., & Zhao, M. (2012). Tour planning for mobile data-gathering mechanisms in wireless sensor networks. IEEE transactions on vehicular technology, 62(4), 1472-1483.[12] Subramanian, C. B., & Balakannan, S. P. (2017, March). Optimized trajectory planning for mobile anchors in wireless sensor networks. In 2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) (pp. 1-5). IEEE.[13] He, X., Fu, X., & Yang, Y. (2019). Energy-Efficient Trajectory Planning Algorithm Based on Multi-Objective PSO for the Mobile Sink in Wireless Sensor Networks. IEEE Access, 7, 176204-176217.[14] Xia, F., Wang, L., Zhang, D., Zhang, X., & Gao, R. (2012). Ada-MAC: An adaptive MAC protocol for real-time and reliable health monitoring. In 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 203-208). IEEE[15] El Fissaoui, M., Beni-hssane, A., Ouhmad, S., & El Makkaoui, K. (2020). A Survey on Mobile Agent Itinerary Planning for Information Fusion in Wireless Sensor Networks. Archives of Computational Methods in Engineering, 1-12.[16] Viloria, A., Senior Naveda, A., Hernández Palma, H., Niebles Núẽz, W., & Niebles Núẽz, L. (2020). Electrical Consumption Patterns through Machine Learning. In Journal of Physics: Conference Series (Vol. 1432). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1432/1/012093.[17] Viloria, A., Hernández Palma, H., Gamboa Suarez, R., Niebles Núẽz, W., & Solórzano Movilla, J. (2020). Intelligent Model for Electric Power Management: Patterns. In Journal of Physics: Conference Series (Vol. 1432). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1432/1/012032ORIGINALDesign of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard.pdfDesign of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard.pdfapplication/pdf358239https://repositorio.cuc.edu.co/bitstream/11323/7684/1/Design%20of%20a%20Network%20with%20wireless%20sensor%20applied%20to%20data%20transmission%20based%20on%20IEEE%20802.15.4%20standard.pdfb92e774b5e461df674c60dba62118c78MD51open accessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstream/11323/7684/2/license_rdf42fd4ad1e89814f5e4a476b409eb708cMD52open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstream/11323/7684/3/license.txte30e9215131d99561d40d6b0abbe9badMD53open accessTHUMBNAILDesign of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard.pdf.jpgDesign of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard.pdf.jpgimage/jpeg43497https://repositorio.cuc.edu.co/bitstream/11323/7684/4/Design%20of%20a%20Network%20with%20wireless%20sensor%20applied%20to%20data%20transmission%20based%20on%20IEEE%20802.15.4%20standard.pdf.jpg3951fa599f45240707cb0771da95f362MD54open accessTEXTDesign of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard.pdf.txtDesign of a Network with wireless sensor applied to data transmission based on IEEE 802.15.4 standard.pdf.txttext/plain21488https://repositorio.cuc.edu.co/bitstream/11323/7684/5/Design%20of%20a%20Network%20with%20wireless%20sensor%20applied%20to%20data%20transmission%20based%20on%20IEEE%20802.15.4%20standard.pdf.txt62c2653701167b057e77828169349e95MD55open access11323/7684oai:repositorio.cuc.edu.co:11323/76842023-12-14 16:37:31.968CC0 1.0 Universal|||http://creativecommons.org/publicdomain/zero/1.0/open accessRepositorio Universidad de La Costabdigital@metabiblioteca.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