State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes
Wireless sensor networks are pervasive systems that continuously demonstrate increase in growth by branching into diverse applications. The state of charge is an indicator that conveys the amount of energy available in the battery, information that contributes to better decision-making and energy-ef...
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| Médium: | article |
| Jazyk: | angličtina |
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2019
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| On-line přístup: | https://ieeexplore.ieee.org/document/7993766/ http://ridda2.utp.ac.pa/handle/123456789/6159 |
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| _version_ | 1869652477369909248 |
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| author | L. Quintero, Vanessa |
| author2 | Estevez, Carlos Orchard, Marcos |
| author2_role | author author |
| author_browse | Estevez, Carlos L. Quintero, Vanessa Orchard, Marcos |
| author_facet | L. Quintero, Vanessa Estevez, Carlos Orchard, Marcos |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | L. Quintero, Vanessa Estevez, Carlos Orchard, Marcos |
| dc.date.none.fl_str_mv | 07/27/2017 07/27/2017 2019-07-02T18:13:55Z 2019-07-02T18:13:55Z 2019-07-02T18:13:55Z 2019-07-02T18:13:55Z |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/document/7993766/ 2165-8536 10.1109/ICUFN.2017.7993766 http://ridda2.utp.ac.pa/handle/123456789/6159 http://ridda2.utp.ac.pa/handle/123456789/6159 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | wireless sensor networks telecommunication power management secondary cells particle filtering (numerical methods) energy conservation Bayes methods access protocols wireless sensor networks telecommunication power management secondary cells particle filtering (numerical methods) energy conservation Bayes methods access protocols |
| dc.title.none.fl_str_mv | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | Wireless sensor networks are pervasive systems that continuously demonstrate increase in growth by branching into diverse applications. The state of charge is an indicator that conveys the amount of energy available in the battery, information that contributes to better decision-making and energy-efficient protocols by creating smart cross-layer designs. WSN research trends portray the importance of energy-efficient systems by prioritizing energy efficiency over other arguably equally important aspects as throughput, channel utilization, latency, etc. This demonstrates the impact of improving the energy conservation techniques and extending the battery life of the sensor nodes. By using Bayesian inference, more specifically particle filtering, it is shown that the state of charge can be accurately estimated within the linear region of the voltage-SOC curve. Battery discharge experiments are compared to simulations of the voltage-SOC evolution behavior using a state-space representation model, which showed good agreement between the results. The SOC estimation obtained by the particle filter yields essential information that can, and should, be incorporated into MAC protocols. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_f40ee11022fd7932fbf8b89d1f99621e |
| identifier_str_mv | 2165-8536 10.1109/ICUFN.2017.7993766 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/6159 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| publisher.none.fl_str_mv | 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
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| spelling | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodesL. Quintero, VanessaEstevez, CarlosOrchard, Marcoswireless sensor networkstelecommunication power managementsecondary cellsparticle filtering (numerical methods)energy conservationBayes methodsaccess protocolswireless sensor networkstelecommunication power managementsecondary cellsparticle filtering (numerical methods)energy conservationBayes methodsaccess protocolsWireless sensor networks are pervasive systems that continuously demonstrate increase in growth by branching into diverse applications. The state of charge is an indicator that conveys the amount of energy available in the battery, information that contributes to better decision-making and energy-efficient protocols by creating smart cross-layer designs. WSN research trends portray the importance of energy-efficient systems by prioritizing energy efficiency over other arguably equally important aspects as throughput, channel utilization, latency, etc. This demonstrates the impact of improving the energy conservation techniques and extending the battery life of the sensor nodes. By using Bayesian inference, more specifically particle filtering, it is shown that the state of charge can be accurately estimated within the linear region of the voltage-SOC curve. Battery discharge experiments are compared to simulations of the voltage-SOC evolution behavior using a state-space representation model, which showed good agreement between the results. The SOC estimation obtained by the particle filter yields essential information that can, and should, be incorporated into MAC protocols.Wireless sensor networks are pervasive systems that continuously demonstrate increase in growth by branching into diverse applications. The state of charge is an indicator that conveys the amount of energy available in the battery, information that contributes to better decision-making and energy-efficient protocols by creating smart cross-layer designs. WSN research trends portray the importance of energy-efficient systems by prioritizing energy efficiency over other arguably equally important aspects as throughput, channel utilization, latency, etc. This demonstrates the impact of improving the energy conservation techniques and extending the battery life of the sensor nodes. By using Bayesian inference, more specifically particle filtering, it is shown that the state of charge can be accurately estimated within the linear region of the voltage-SOC curve. Battery discharge experiments are compared to simulations of the voltage-SOC evolution behavior using a state-space representation model, which showed good agreement between the results. The SOC estimation obtained by the particle filter yields essential information that can, and should, be incorporated into MAC protocols.2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)2019-07-02T18:13:55Z2019-07-02T18:13:55Z2019-07-02T18:13:55Z2019-07-02T18:13:55Z07/27/201707/27/2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://ieeexplore.ieee.org/document/7993766/2165-853610.1109/ICUFN.2017.7993766http://ridda2.utp.ac.pa/handle/123456789/6159http://ridda2.utp.ac.pa/handle/123456789/6159enginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/61592021-07-06T15:34:53Z |
| spellingShingle | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes L. Quintero, Vanessa wireless sensor networks telecommunication power management secondary cells particle filtering (numerical methods) energy conservation Bayes methods access protocols wireless sensor networks telecommunication power management secondary cells particle filtering (numerical methods) energy conservation Bayes methods access protocols |
| status_str | publishedVersion |
| title | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes |
| title_full | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes |
| title_fullStr | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes |
| title_full_unstemmed | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes |
| title_short | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes |
| title_sort | State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes |
| topic | wireless sensor networks telecommunication power management secondary cells particle filtering (numerical methods) energy conservation Bayes methods access protocols wireless sensor networks telecommunication power management secondary cells particle filtering (numerical methods) energy conservation Bayes methods access protocols |
| url | https://ieeexplore.ieee.org/document/7993766/ http://ridda2.utp.ac.pa/handle/123456789/6159 |