0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
Devloping a clustering routing algorithm based on the efficient hybrid methodology for WSN performance optimization
نویسندگان :
Neda Mazloomi
1
Sajad Haghzad Klidbary
2
1- University of Zanjan
2- University of Zanjan
کلمات کلیدی :
Wireless Sensor Network (WSN)،Genetic Algorithm (GA)،Decision Tree،Ant Colony Optimization (ACO)،Butterfly Optimization Algorithm (BOA)
چکیده :
Wireless sensor networks (WSNs) play a crucial role in environmental, security, and health monitoring, but they face significant challenges, including energy consumption and routing complexity. This paper introduces a novel optimization approach for WSNs using four intelligent algorithms: decision tree, genetic algorithm (GA), butterfly optimization algorithm (BOA), and ant colony optimization (ACO). These algorithms contribute to reducing energy consumption and enhancing network performance, particularly in clustering and routing. Simulation results demonstrate that the proposed method outperforms other algorithms, such as LEACH, DEEC, and HEED, in terms of reducing energy consumption and increasing the number of packets transmitted to the base station. The overall improvement of the proposed method over the best performing algorithm, HEED, is approximately 16.7% in terms of increasing the total residual energy. Regarding the number of alive nodes, the proposed method also outperforms other approaches, showing an improvement of about 9.6% compared to HEED. Specifically, while HEED transmitted about 2.9 units of packets, the proposed method transmits approximately 3.8 packets to the base station, representing a 31% improvement. These results indicate that the proposed method not only manages energy more effectively but also significantly enhances the data transmission efficiency to the base station, thus improving the overall performance of the WSN in terms of both energy efficiency and network reliability.
لیست مقالات
لیست مقالات بایگانی شده
بهبود پردازش وفقی فضا-زمان (STAP) در سیستمهای رادار هوابرد با استفاده از الگوریتمهای آگاه به تنک بودن (Sparsity) سیستم
علی شیخیان - سارا میهن دوست - نعمت الله عزتی - احسان مصطفی پور
Mapping Human Grasping to 3-Finger Grippers: A Deep Learning Perspective
Fatemeh Naeinian - Elnaz Balazadeh - Mehdi Tale Masouleh
Parkinson’s Disease Classification Using Continuous Wavelet Transform and Ensemble Convolutional Neural Networks on EEG Signals
Seyed Pedram Monazami - Raheleh Davoodi
بهبود عملکرد یک ( LOC ) Lab – On –Chipپیشرفته مبتنی بر فناوری MEMSبه کمک تقویت میدان الکتریکی ساختار
شیوا عظیمی نام - فهیمه مروی - کیان جعفری
Net Load Forecasting of Household Prosumers Considering Deep Reinforcement Learning
Behzad Motallebi Azar - Rasool Kazemzadeh - Morteza Zare Oskouei - Behnam Mohammadi-Ivatloo
ردیابی اهداف کوچک مادون قرمز مبتنی بر فیلتر کالمن بهینهشده با الگوریتم نهنگ و ازدحام ذرات
نازنین بهمن جو - سعید خانکلانتری
Optimal D2D Resource Allocation in Heterogeneous Cellular Networks by Decentralized Multi-Agent Deep Q-Learning
Pouya Akhoundzadeh - Ghasem Mirjalily - Mohammad taghi Sadeghi
A Novel Approch to No-reference Image Quality Assessment Utilizing Saliency map
Reza Sabr Ali Pour - Mohieddin Moradi
Vibration Analysis of a High-Speed Switched Reluctance Motor Considering Fast Demagnetization Voltage
Nasrin Majlesi - Amir Rashidi - Morteza Saghaian Nejad
Event Related Potentials Extraction using Low-rank Tensor Decomposition
Zahra SohrabiBonab - Mohammad Bagher Shamsollahi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.8.0