Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks
Wireless sensor networks (WSNs) possess inherent tradeoffs among conflicting performance objectives such as data yield, data fidelity and power consumption. In order to address this challenge, this paper proposes a biologically-inspired application framework for WSNs. The proposed framework, called...
Saved in:
Main Authors: | Pruet Boonma, Junichi Suzuki |
---|---|
Format: | Book Series |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84857565232&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51537 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks
by: Boonma P., et al.
Published: (2017) -
Model-driven performance engineering for wireless sensor networks with feature modeling and event calculus
by: Pruet Boonma, et al.
Published: (2018) -
Moppet: A model-driven performance engineering framework for wireless sensor networks
by: Pruet Boonma, et al.
Published: (2018) -
Evolutionary and noise-aware data gathering for wireless sensor networks
by: Bingchun Zhu, et al.
Published: (2018) -
Exploring self-optimization and self-stabilization properties in bio-inspired autonomic cloud applications
by: Paskorn Champrasert, et al.
Published: (2018)