Search Results - (( data application sensor algorithm ) OR ( data optimization method algorithm ))*
Search alternatives:
- application sensor »
- data optimization »
- data application »
- sensor algorithm »
- method algorithm »
-
1
Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali
Published 2024“…To address relay node selection and data scheduling issues, Energy-Efficient Scheduling (EES) and Energy-Efficient Un-Scheduling (EEUS) methods have been introduced using the Improved Discrete Bat Algorithm (IDBA) along with the Adaptive Warshal Floyd algorithm (AWF). …”
Get full text
Get full text
Get full text
Thesis -
2
Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review
Published 2025“…This paper serves as a comprehensive background on localization algorithms and methods used in wireless sensor networks, offering insights for researchers to develop efficient localization algorithms tailored to specific application requirements in diverse work environments.…”
Get full text
Get full text
Get full text
Get full text
Article -
3
Satellite attitude determination utilizing measurement sensor data and kalman filtering
Published 2006“…This assessment was done by using Monte Carlo methods to simulate these sensors. Using only star measurements an optimal satellite orientation estimate is found using the method of least squares, and the particular algorithm invoked is referred to ESOQ2 method. …”
Get full text
Get full text
Article -
4
Global optimization method for continuous - Time sensor scheduling
Published 2010“…We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem cannot be solved using conventional optimization problem.The Transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discreate filled function method in conjunction with a conventional optimal control algorithm.Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution.…”
Get full text
Get full text
Get full text
Article -
5
-
6
A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…Compared to the Ant Colony Optimization-Genetic Algorithm (ACO-GA) and Ant Colony Optimization- Hierarchical Clustering Mechanism (ACOHCM), the ACO algorithm shows superior power savings and efficiency. …”
Get full text
Get full text
Get full text
Thesis -
7
HDRA: A Haybird Data Reduction and Routing Algorithm
Published 2024“…Recent studies on data reduction methods have shown that sensor nodes often transmit data directly (single hop) to the base station (BS). …”
Get full text
Get full text
Get full text
Article -
8
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…In addition, it is expected that it can be applied in real-time application. In this study, Simulated Kalman Filter (SKF) is applied to image template matching application as the optimization algorithm. …”
Get full text
Get full text
Thesis -
9
-
10
Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions
Published 2025“…Wireless Sensor Networks (WSNs) significantly impact reliable data communications in environmental monitoring, health care, and transportation applications. …”
Article -
11
HDRA: A Haybird Data Reduction and Routing Algorithm
Published 2024“…Recent studies on data reduction methods have shown that sensor nodes often transmit data directly (single hop) to the base station (BS). …”
Get full text
Get full text
Get full text
Article -
12
Application of Simon encryption algorithm for data transmission between sensor nodes in IoT environment
Published 2024“…In future work, the algorithm can still be optimized to offer better performance. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
13
Energy-efficient data transmission with clustering and compressive sensing in wireless sensor networks / Mukil Alagirisamy
Published 2020“…The simulation results of clustering algorithms, INACS and Perceptron framework are validated using various data analysis methods. …”
Get full text
Get full text
Get full text
Thesis -
14
Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023“…An alternative method is proposed, utilizing machine learning algorithms. …”
text::Thesis -
15
Investigating optimal smartphone placement for identifying stairs movement using machine learning
Published 2023“…The data was trained against 6 machine learning algorithms namely Decision Tree, Logistic Regression, Naive Bayes, Random Forest, Neural Networks and KNN. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
-
17
SENSORY EXPERT: DEVICE FOR SENSORY TEST
Published 2018“…In developing the algorithm for heat sensing, humidity and temperature sensor DHT 11 is used and the data of temperature is displayed in Blynk applications. …”
Get full text
Get full text
Final Year Project -
18
Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks
Published 2022“…This study developed an optimized variation of the DV-Hop localization algorithm for anisotropic wireless sensor networks. …”
Get full text
Get full text
Thesis -
19
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…The ANN model performance can be optimized by altering certain parameters in the learning algorithm. …”
Get full text
Get full text
Thesis -
20
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…The ANN model performance can be optimized by altering certain parameters in the learning algorithm. …”
Get full text
Get full text
Article
