Artículos en revistas:
A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks
A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks
Año:2018
Áreas de investigación
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Ingenierías
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Descripción
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| Nowadays, sensor networks are composed of a great number of tiny resource-constraint nodes, whose management is increasingly more complex. In fact, although collaborative or choreographic task execution schemes are which fit in the most perfect way with the nature of sensor networks, they are rarely implemented because of the high resource consumption of these algorithms (especially if networks include many resource-constrained devices). On the contrary, hierarchical networks are usually designed, in whose cusp it is included a heavy orchestrator with a remarkable processing power, being able to implement any necessary management solution. However, although this orchestration approach solves most practical management problems of sensor networks, a great amount of the operation time is wasted while nodes request the orchestrator to address a conflict and they obtain the required instructions to operate. Therefore, in this paper it is proposed a new mechanism for self-managed and choreographed task execution in sensor networks. The proposed solution considers only a lightweight gateway instead of traditional heavy orchestrators and a hardware-supported algorithm, which consume a negligible amount of resources in sensor nodes. The gateway avoids the congestion of the entire sensor network and the hardware-supported algorithm enables a choreographed task execution scheme, so no particular node is overloaded. The performance of the proposed solution is evaluated through numerical and electronic ModelSim-based simulations. | |
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Internacional
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JCR del ISI
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Título de la revista
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Sensors |
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ISSN
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1424-8220 |
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Factor de impacto JCR
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2,677 |
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Información de impacto
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Datos JCR del año 2016 |
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DOI
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Participantes
- Autor: Borja Bordel Sanchez (UPM)
- Autor: Ramon Pablo Alcarria Garrido (UPM)
- Autor: Carlos Miguel Nieto (UPM)
- Autor: Tomas Enrique Robles Valladares (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Departamento: Ingeniería de Sistemas Telemáticos
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)