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Green Computing in Underwater Wireless Sensor Networks Pressure Centric Energy Modeling

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Green Computing in Underwater Wireless Sensor Networks Pressure Centric Energy Modeling

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dc.contributor.author Khasawneh, Ahmad M. es_ES
dc.contributor.author Kaiwartya, Omprakash es_ES
dc.contributor.author Khalifeh, Ala es_ES
dc.contributor.author Abualigah, Laith M. es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2022-10-13T18:07:38Z
dc.date.available 2022-10-13T18:07:38Z
dc.date.issued 2020-12 es_ES
dc.identifier.issn 1932-8184 es_ES
dc.identifier.uri http://hdl.handle.net/10251/187702
dc.description.abstract [EN] Underwater wireless sensor networks (UWSNs) have witnessed significant attention from both industries and academia in research and development. This is due to the wide range of applications including scientific, commercial, military, and environmental. Considering the peculiar characteristics and harsh environments of UWSNs, reliable green communication among sensor nodes in the network is one of the major challenging tasks. In this context, this article proposes a localization-free shortest path reliable and energy-efficient pressure-based routing (SPRE-PBR) protocol for UWSNs. SPRE-PBR considers three parameters including residual energy, pressure, and link quality for selecting the next forwarding nodes. Moreover, SPRE-PBR is designed and developed to control path selection and reduce the unnecessary forwarding based on route cost calculation and optimal shortest path algorithm. The comprehensive performance evaluation attests the benefit of SPRE-PBR as compared with the state-of-the-art techniques considering underwater networking centric metrics. es_ES
dc.description.sponsorship This work was supported by the the Amman Arab University, Jordan, and Nottingham Trent University, UK. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Systems Journal es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Routing es_ES
dc.subject Energy consumption es_ES
dc.subject Wireless sensor networks es_ES
dc.subject Reliability es_ES
dc.subject Routing protocols es_ES
dc.subject Acoustic waves es_ES
dc.subject Energy efficient es_ES
dc.subject Green computing es_ES
dc.subject Underwater wireless sensor network es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title Green Computing in Underwater Wireless Sensor Networks Pressure Centric Energy Modeling es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/JSYST.2020.2996421 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Khasawneh, AM.; Kaiwartya, O.; Khalifeh, A.; Abualigah, LM.; Lloret, J. (2020). Green Computing in Underwater Wireless Sensor Networks Pressure Centric Energy Modeling. IEEE Systems Journal. 14(4):4735-4745. https://doi.org/10.1109/JSYST.2020.2996421 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/JSYST.2020.2996421 es_ES
dc.description.upvformatpinicio 4735 es_ES
dc.description.upvformatpfin 4745 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\473164 es_ES


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