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...
- 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
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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. |
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2020 |
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2020 |
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2021-01-13T21:41:06Z |
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2021-01-13T21:41:06Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://hdl.handle.net/11323/7684 |
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https://doi.org/10.1016/j.procs.2020.07.097 |
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Corporación Universidad de la Costa |
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eng |
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eng |
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[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 |
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amelec, viloriaLizardo Zelaya, Nelson AlbertoMercado Caruso, Nohora Nubia2021-01-13T21:41:06Z2021-01-13T21:41:06Z20201877-0509https://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.amelec, viloria-will be generated-orcid-0000-0003-2673-6350-600Lizardo Zelaya, Nelson Alberto-will be generated-orcid-0000-0002-3963-5690-600Mercado Caruso, Nohora Nubia-will be generated-orcid-0000-0001-9261-8331-600application/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/10.1088/1742-6596/1432/1/012032PublicationORIGINALDesign 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/bitstreams/4cd82473-3149-43e2-96cc-a80b011e3aed/downloadb92e774b5e461df674c60dba62118c78MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/059fe673-6db0-4e47-8abf-45137221ed0c/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/dbd351e7-7185-460a-8155-71986b002a6e/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILDesign 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 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