Memorias de investigación
Artículos en revistas:
A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks
Año:2018

Áreas de investigación
  • Ingenierías

Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Sensors
ISSN
1424-8220
Factor de impacto JCR
2,677
Información de impacto
Datos JCR del año 2016
Volumen
DOI
Número de revista
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  • Creador: Departamento: Ingeniería de Sistemas Telemáticos