Transmission Probability Strategies for Cluster-Based Event-Driven Wireless Sensor Networks

Mario E. Rivero-Angeles, Gerardo Rubino

Resultado de la investigación: Contribución a una conferenciaArtículo

2 Citas (Scopus)

Resumen

© 2017 IEEE. In the literature, it is common to consider that sensor nodes in a clustered-based event-driven Wireless Sensor Network (WSN) use a Carrier Sense Multiple Access (CSMA) protocol with a fixed transmission probability to control data transmission. However, due to the highly variable environment in these networks, a fixed transmission probability may lead to extra energy consumption. In view of this, three different transmission probability strategies for event-driven WSNs are studied: optimal, fixed and adaptive. As expected, the optimum strategy achieves the best results in terms of energy consumption but its implementation in a practical system is not feasible. The commonly used fixed transmission strategy is the simplest but does not adapt to changes in the system's conditions and achieves the worst performance. In the paper, we find that the adaptive transmission strategy, pretty easy to implement, achieves results very close to the optimal one. The three strategies are analyzed in terms of energy consumption, and cluster formation latency.
Idioma originalInglés estadounidense
Páginas416-419
Número de páginas374
DOI
EstadoPublicada - 8 ene 2018
EventoProceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017 -
Duración: 8 ene 2018 → …

Conferencia

ConferenciaProceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017
Período8/01/18 → …

Huella dactilar

energy consumption
sensors
carrier sense multiple access
data transmission

Citar esto

Rivero-Angeles, M. E., & Rubino, G. (2018). Transmission Probability Strategies for Cluster-Based Event-Driven Wireless Sensor Networks. 416-419. Papel presentado en Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017, . https://doi.org/10.1109/CyberC.2017.92
Rivero-Angeles, Mario E. ; Rubino, Gerardo. / Transmission Probability Strategies for Cluster-Based Event-Driven Wireless Sensor Networks. Papel presentado en Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017, .374 p.
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Rivero-Angeles, ME & Rubino, G 2018, 'Transmission Probability Strategies for Cluster-Based Event-Driven Wireless Sensor Networks', Papel presentado en Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017, 8/01/18 pp. 416-419. https://doi.org/10.1109/CyberC.2017.92

Transmission Probability Strategies for Cluster-Based Event-Driven Wireless Sensor Networks. / Rivero-Angeles, Mario E.; Rubino, Gerardo.

2018. 416-419 Papel presentado en Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017, .

Resultado de la investigación: Contribución a una conferenciaArtículo

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Rivero-Angeles ME, Rubino G. Transmission Probability Strategies for Cluster-Based Event-Driven Wireless Sensor Networks. 2018. Papel presentado en Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017, . https://doi.org/10.1109/CyberC.2017.92