Constructing Less Congested Route for Data Transmission by Selecting High Energy Nodes among Cost Efficient Trusted Neighbors for Improving QOS in WSN

Aspirations of modern high energy particle physics call for compact and cost efficient lepton and hadron colliders with energy reach and luminosity significantly beyond the modern HEP facilities. Strong interplanar fields in crystals of the order of 10–100 V/Å can effectively guide and collimate high energy particles. Besides continuous focusing crystals plasma, if properly excited, can be used for particle acceleration with exceptionally high gradients [Formula: see text](TeV/m). However, the angstrom-scale size of channels in crystals might be too small to accept and accelerate significant number of particles. Carbon-based nano-structures such as carbon-nanotubes (CNTs) and graphenes have a large degree of dimensional flexibility and thermo-mechanical strength and thus could be more suitable for channeling acceleration of high intensity beams. Nano-channels of the synthetic crystals can accept a few orders of magnitude larger phase-space volume of channeled particles with much higher thermal tolerance than natural crystals. This paper presents conceptual foundations of the CNT acceleration, including underlying theory, practical outline and technical challenges of the proof-of-principle experiment. Also, an analytic description of the plasmon-assisted laser acceleration is detailed with practical acceleration parameters, in particular with specifications of a typical tabletop femtosecond laser system. The maximally achievable acceleration gradients and energy gains within dephasing lengths and CNT lengths are discussed with respect to laser-incident angles and the CNT-filling ratios.

Download Full-text

Micromachining of Invar with 784 Beams Using 1.3 ps Laser Source at 515 nm

Materials ◽

10.3390/ma13132962 ◽

2020 ◽

Vol 13 (13) ◽

pp. 2962 ◽

Cited By ~ 1

Author(s):

Petr Hauschwitz ◽

Bohumil Stoklasa ◽

Jiří Kuchařík ◽

Hana Turčičová ◽

Michael Písařík ◽

...

Keyword(s):

Coefficient Of Thermal Expansion ◽

Light Emitting Diode ◽

Laser System ◽

Ultrashort Pulses ◽

High Energy ◽

Laser Source ◽

Organic Light Emitting Diode ◽

Energy Pulse ◽

Cost Efficient ◽

Monitoring Module

To fulfil the requirements for high-resolution organic light-emitting diode (OLED) displays, precise and high-quality micrometer-scale patterns have to be fabricated inside metal shadow masks. Invar has been selected for this application due to its unique properties, especially a low coefficient of thermal expansion. In this study, a novel cost-efficient method of multi-beam micromachining of invar will be introduced. The combination of a Meopta beam splitting, focusing and monitoring module with a galvanometer scanner and HiLASE high-energy pulse laser system emitting ultrashort pulses at 515 nm allows drilling and cutting of invar foil with 784 beams at once with high precision and almost no thermal effects and heat-affected zone, thus significantly improving the throughput and efficiency.

Download Full-text

A fuzzy-rule-based packet reproduction routing for sensor networks

International Journal of Distributed Sensor Networks ◽

10.1177/1550147718774016 ◽

2018 ◽

Vol 14 (4) ◽

pp. 155014771877401 ◽

Cited By ~ 2

Author(s):

Jinhuan Zhang ◽

Anfeng Liu ◽

Peng Hu ◽

Jun Long

Keyword(s):

Energy Efficiency ◽

Data Transmission ◽

Fuzzy Inference ◽

Network Reliability ◽

Data Gathering ◽

Fuzzy Rule ◽

High Energy ◽

Transport Delay ◽

Reliable Routing ◽

Low Efficiency

It is a major challenge to transfer target sensing data efficiently to sink in Internet of things. The low-efficiency data transmission can cause low quality of service. To realize the emergent detection and periodic data gathering, the sensed data should be transferred to the sink efficiently and quickly. Recently, there are many related studies. However, there are few researches taking energy efficiency, transport delay, and network reliability into comprehensive consideration. In this article, a novel adaptive green and reliable routing scheme based on a fuzzy logic system is proposed in consideration of energy efficiency, end-to-end transport delay, and network transmission reliability. The key idea of the proposed scheme is to generate different number of renewed packet copies after certain steps according to the fuzzy inference. The fuzzy inference reflects the knowledge that the nodes in the region far to the sink and with more remaining energy initiate and transmit more packet copies concurrently by multiple routing paths to ensure the success rate of data transmission, whereas less. Thus, the high energy efficiency and low latency are obtained for data collection. Our analysis and simulation results show that adaptive green and reliable routing is more superior than the existing scheme.

Download Full-text

High speed optical wireless data transmission system for particle sensors in high energy physics

Journal of Instrumentation ◽

10.1088/1748-0221/10/08/c08003 ◽

2015 ◽

Vol 10 (08) ◽

pp. C08003-C08003 ◽

Cited By ~ 1

Author(s):

W. Ali ◽

R. Corsini ◽

E. Ciaramella ◽

R. Dell'Orso ◽

A. Messineo ◽

...

Keyword(s):

Data Transmission ◽

High Speed ◽

High Energy Physics ◽

High Energy ◽

Transmission System ◽

Optical Wireless ◽

Wireless Data ◽

Wireless Data Transmission ◽

Data Transmission System ◽

Energy Physics

Download Full-text

Cost-Efficient Sensory Data Transmission in Heterogeneous Software-Defined Vehicular Networks

IEEE Sensors Journal ◽

10.1109/jsen.2016.2562699 ◽

2016 ◽

Vol 16 (20) ◽

pp. 7342-7354 ◽

Cited By ~ 29

Author(s):

Zongjian He ◽

Daqiang Zhang ◽

Junbin Liang

Keyword(s):

Data Transmission ◽

Vehicular Networks ◽

Sensory Data ◽

Cost Efficient

Download Full-text

The Duals of Fusion Frames for Experimental Data Transmission Coding of High Energy Physics

Advances in High Energy Physics ◽

10.1155/2013/837129 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 3

Author(s):

Jinsong Leng ◽

Qixun Guo ◽

Tingzhu Huang

Keyword(s):

Experimental Data ◽

Data Transmission ◽

High Energy Physics ◽

Matrix Representation ◽

High Energy ◽

Fusion Frames ◽

Fusion Frame ◽

The Matrix ◽

Frame System ◽

Energy Physics

The experimental data transmission is an important part of high energy physics experiment. In this paper, we connect fusion frames with the experimental data transmission implement of high energy physics. And we research the utilization of fusion frames for data transmission coding which can enhance the transmission efficiency, robust against erasures, and so forth. For this application, we first characterize a class of alternate fusion frames which are duals of a given fusion frame in a Hilbert space. Then, we obtain the matrix representation of the fusion frame operator of a given fusion frame system in a finite-dimensional Hilbert space. By using the matrix representation, we provide an algorithm for constructing the dual fusion frame system with its local dual frames which can be used as data transmission coder in the high energy physics experiments. Finally, we present a simulation example of data coding to show the practicability and validity of our results.

Download Full-text

Integrated data reduction model in wireless sensor networks

Applied Computing and Informatics ◽

10.1016/j.aci.2019.03.003 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Cited By ~ 2

Author(s):

Walaa M. El-Sayed ◽

Hazem M. El-Bakry ◽

Salah M. El-Sayed

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Transmission ◽

Finite Impulse Response ◽

High Energy ◽

Sensor Nodes ◽

Recursive Least Squares ◽

Wireless Sensor ◽

Radio Communication ◽

Clustering Model

Wireless sensor networks (WSNs) are periodically collecting data through randomly dispersed sensors (motes), which typically consume high energy in radio communication that mainly leans on data transmission within the network. Furthermore, dissemination mode in WSN usually produces noisy values, incorrect measurements or missing information that affect the behaviour of WSN. In this article, a Distributed Data Predictive Model (DDPM) was proposed to extend the network lifetime by decreasing the consumption in the energy of sensor nodes. It was built upon a distributive clustering model for predicting dissemination-faults in WSN. The proposed model was developed using Recursive least squares (RLS) adaptive filter integrated with a Finite Impulse Response (FIR) filter, for removing unwanted reflections and noise accompanying of the transferred signals among the sensors, aiming to minimize the size of transferred data for providing energy efficient. The experimental results demonstrated that DDPM reduced the rate of data transmission to ∼20%. Also, it decreased the energy consumption to 95% throughout the dataset sample and upgraded the performance of the sensory network by about 19.5%. Thus, it prolonged the lifetime of the network.

Download Full-text