DISSERTATION

Biologically inspired algorithms for wireless sensor networks

Anna ScaglioneRoberto Pagliari

Year: 2010 University:   Optics Express Vol: 26 (23)Pages: 30773-30785   Publisher: Optica Publishing Group

Abstract

We discuss the generation of strong stationary mechanical squeezing and entanglement in the modulated two-and three-mode optomechanics. Following the reservoir engineering scheme, the beam-splitter and parametric optomechanical interactions can be simultaneously achieved through appropriately choosing the modulation frequency on mechanical motion, which is essential to strong squeezing and entanglement. In the two-mode modulated optomechanics, squeezing is tunable by the relative ratio of parametric and beam-splitter couplings, and also robust to thermal noise due to the simultaneously optically induced cooling process. In the three-mode modulated optomechanics, strong EPR-type entanglement is also attainable, which can surpass the 3dB limit of nondegenerate parametric interaction. However, the ideal entanglement is impossible since only one of mechanical Bogoliubov modes is cooled by the cavity mode, which also makes the entanglement fragile to the mechanical noise.

Keywords:
Wireless sensor network Computer science Wireless network Distributed computing Class (philosophy) Protocol (science) Wireless Theoretical computer science Algorithm Synchronization (alternating current) Computer network Artificial intelligence Channel (broadcasting) Telecommunications

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
60
Refs
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Gene Regulatory Network Analysis
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Nonlinear Dynamics and Pattern Formation
Physical Sciences →  Computer Science →  Computer Networks and Communications
Molecular Communication and Nanonetworks
Physical Sciences →  Engineering →  Biomedical Engineering

Related Documents

BOOK-CHAPTER

Nature-Inspired Algorithms in Wireless Sensor Networks

Ajay KaushikS. InduDaya Gupta

Advances in computational intelligence and robotics book series Year: 2018 Pages: 246-275
JOURNAL ARTICLE

Biologically inspired node scheduling control for wireless sensor networks

Heejung ByunSugook SonSoomi Yang

Journal:   Journal of Communications and Networks Year: 2015 Vol: 17 (5)Pages: 506-516
© 2026 ScienceGate Book Chapters — All rights reserved.