scholarly journals The effect of queue size on the throughput, in group failure mode, for the loaded transport channel

2021 ◽  
Vol 2091 (1) ◽  
pp. 012029
Author(s):  
P H Karim ◽  
J K Ghafoor ◽  
S P Suschenko
Keyword(s):  
Mathematical Model ◽  
Failure Mode ◽  
External Load ◽  
Queue Size ◽  
Size Parameter ◽  
Round Trip ◽  
Transport Channel ◽  
External Data ◽  
Time Out ◽  
Round Trip Delay

Abstract The external data flow decreases the throughput of the transport connection. The indicator of this external load is the queue size in front of the protocol data. In this article, using a mathematical model in analytical and numerical forms, the relation between the throughput of the channel and the protocol parameters are presented including the queue size parameter. In this work the effect of the queue size on time-out duration has been shown, which is one of the important parameters and it’s studied weakly in researches. Also, the relation between round-trip delay, the reliability of the transmission of the information segments with queue size are also shown.

scholarly journals Model-Based Design Approach to Improve Performance Characteristics of Hydrostatic Bearing Using Multivariable Optimization

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 388
Author(s):  
Waheed Ur Rehman ◽  
Xinhua Wang ◽  
Yiqi Cheng ◽  
Yingchun Chen ◽  
Hasan Shahzad ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Feedback Control ◽  
External Load ◽  
Sliding Mode ◽  
Feedforward Control ◽  
Spindle Speed ◽  
Performance Criteria ◽  
Model Based ◽  
Hydrostatic Bearings ◽  
Robust Control Design

Research in the field of tribo-mechatronics has been gaining popularity in recent decades. The objective of the current research is to improve static/dynamics characteristics of hydrostatic bearings. Hydrostatic bearings always work in harsh environmental conditions that effect their performance, and which may even result in their failure. The current research proposes a mathematical model-based system for hydrostatic bearings that helps to improve its static/dynamic characteristics under varying conditions of performance-influencing variables such as temperature, spindle speed, external load, and clearance gap. To achieve these objectives, the capillary restrictors are replaced with servo valves, and a mathematical model is developed along with robust control design systems. The control system consists of feedforward and feedback control techniques that have not been applied before for hydrostatic bearings in the published literature. The feedforward control tries to remove a disturbance before it enters the system while feedback control achieves the objective of disturbance rejection and improves steady-state characteristics. The feedforward control is a trajectory-based controller and the feedback controller is a sliding mode controller with a PID sliding surface. The particle swarm optimization algorithm is used to tune the 6-dimensional vector of the tuning parameters with multi-objective performance criteria. Numerical investigations have been carried out to check the performance of the proposed system under varying conditions of viscosity, clearance gap, external load and the spindle speed. The comparison of our results with the published literature shows the effectiveness of the proposed system.

At Sensor Diagnosis for Smart Healthcare

2018 ◽  
Vol 10 (4) ◽  
pp. 1-13
Author(s):  
Chetna Laroiya ◽  
Vijay Bhushan Aggarwal
Keyword(s):  
Joint Probability ◽  
Sliding Window ◽  
Communication Technologies ◽  
Data Streaming ◽  
Round Trip ◽  
Time Data ◽  
Smart Healthcare ◽  
Body Sensors ◽  
Round Trip Delay

In order to implement IoT-based health-care for improved quality of life, we have to deal with sensor and communication technologies. In this article, the authors propose an approach to analyse real-time data streaming from a patient's surface body sensors, which are to be looked upon in a small sliding window frame. Time series analysis of data from the sensors is effective in reducing the round-trip delay between patient and the medical server. Two algorithms are for the sensor, and odd measures are proposed based on joint probability and joint conditional probability. The proposed algorithms are to be SQL compliant, as traces of at-sensor UDBMS alongside elementary capabilities supports databases with a meagre amount of SQL, which is evident in the literature.

scholarly journals Performance Evaluation of an IEEE 802.15.4 Wireless Sensor Network on a Coastal Environment

2017 ◽  
Vol 11 (1) ◽  
pp. 98
Author(s):  
Carlos Flores-Cortés ◽  
Raymundo Buenrostro-Mariscal ◽  
Antonio Gurrero-Ibañez ◽  
Fermín Estrada-González ◽  
Jesus Sandoval-Orozco
Keyword(s):  
Ieee 802.15.4 ◽  
Signal Strength ◽  
Ocean Waves ◽  
Coastal Environment ◽  
Wireless Sensor ◽  
Round Trip ◽  
Commercial Activities ◽  
Received Signal Strength Indication ◽  
The Impact ◽  
Round Trip Delay

Wireless Sensor Networks (WSNs) have an enormous potential for investigating oceanographic problems such as the impact of industrial, touristic and commercial activities in coastal areas, among others. However, ocean waves, fog, humidity and other environmental conditions make difficult communication between nodes. This paper presents an evaluation on-site of the performance of an IEEE 802.15.4 WSN. In particular, received signal strength indication, throughput, round trip delay time and the rate of efficiency are evaluated.  Different settings were tested and results shown which settings performed better on these environments.

scholarly journals Faulty Sensor Node Detection Using Round Trip Time and Discrete Paths in WSNs

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
R. N. Duche ◽  
N. P. Sarwade
Keyword(s):  
Quality Of Service ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Round Trip ◽  
Trip Time ◽  
Accurate Design ◽  
Large Numbers ◽  
Portable Sensor ◽  
Round Trip Delay

Wireless sensor networks (WSNs) with efficient and accurate design to increase the quality of service (QoS) have become a hot area of research. Implementing the efficient and accurate WSNs requires deployment of the large numbers of portable sensor nodes in the field. The quality of service of such networks is affected by lifetime and failure of sensor node. In order to improve the quality of service, the data from faulty sensor nodes has to be ignored or discarded in the decision-making process. Hence, detection of faulty sensor node is of prime importance. In the proposed method, discrete round trip paths (RTPs) are compared on the basis of round trip delay (RTD) time to detect the faulty sensor node. RTD protocol is implemented in NS2 software. WSNs with circular topology are simulated to determine the RTD time of discrete RTPs. Scalability of the proposed method is verified by simulating the WSNs with various sensor nodes.

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