Cargando…
An Energy-Efficient Spectrum-Aware Reinforcement Learning-Based Clustering Algorithm for Cognitive Radio Sensor Networks
It is well-known that clustering partitions network into logical groups of nodes in order to achieve energy efficiency and to enhance dynamic channel access in cognitive radio through cooperative sensing. While the topic of energy efficiency has been well investigated in conventional wireless sensor...
Autores principales: | Mustapha, Ibrahim, Ali, Borhanuddin Mohd, Rasid, Mohd Fadlee A., Sali, Aduwati, Mohamad, Hafizal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570397/ https://www.ncbi.nlm.nih.gov/pubmed/26287191 http://dx.doi.org/10.3390/s150819783 |
Ejemplares similares
-
Pliable Cognitive MAC for Heterogeneous Adaptive Cognitive Radio Sensor Networks
por: Al-Medhwahi, Mohammed, et al.
Publicado: (2016) -
Overcoming Limitations of LoRa Physical Layer in Image Transmission
por: Jebril, Akram H., et al.
Publicado: (2018) -
A Self-Optimizing Scheme for Energy Balanced Routing in Wireless Sensor Networks Using SensorAnt
por: Shamsan Saleh, Ahmed M., et al.
Publicado: (2012) -
Totally opportunistic routing algorithm (TORA) for underwater wireless sensor network
por: Rahman, Ziaur, et al.
Publicado: (2018) -
Clustering Transmission Opportunity Length (CTOL) Model over Cognitive Radio Network
por: Mohamad, Mas Haslinda, et al.
Publicado: (2018)