0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
A routing method with the approach of reducing energy consumption in WSNs with the Jellyfish Search (JS) optimizer algorithm and unequal clustering
Authors :
Ehsan Gholami
1
Javad Hamidzadeh
2
1- Faculty of Computer Engineering and Information Technology of Sadjad University
2- Faculty of Computer Engineering and Information Technology of Sadjad University
Keywords :
Wireless sensor network(WSN)،Routing،Energy consumption reduction،unequal clustering،Jellyfish Search (JS) optimizer algorithm
Abstract :
Wireless sensor networks are among the most common communication tools used in military and civilian fields. These networks consist of many tiny devices called sensor nodes. Each node has processing capability and different types of memory, transmitter, radio frequency receiver, and power supply. In addition, nodes house sensors and actuators. Batteries usually power sensor nodes and need to operate longer without their presence. In most cases, changing or recharging the battery for sensor nodes is very difficult or even impossible. Designing routing protocols in wireless sensor networks is challenging due to network limitations, with an emphasis on energy efficiency. The proposed method uses a hierarchical routing mechanism to optimize routing using asymmetric clustering. The sensor nodes are asymmetrically clustered in the proposed method, and the cluster heads are selected using the Jellyfish Search (JS) optimizer algorithm. The problem of optimal clustering is an optimization problem, so in this research, the Jellyfish Search algorithm is used to provide the most optimal clusters in routing. Due to the utilization of a search mechanism based on chaos theory in the Jellyfish Search optimization, the proposed method exhibits high accuracy in clustering and optimal routing within wireless sensor networks. Evaluations indicate that the proposed method achieves lower energy consumption and longer network lifetime compared to GWO, MO-PSO, WGWO, and HMBCR algorithms.
Papers List
List of archived papers
Forecasting El Niño Six Months in Advance Utilizing Augmented Convolutional Neural Network
Mohammad Naisipour - Iraj Saeedpanah - Arash Adib - Mohammad Hossein Neisi Pour
Averting Mode Collapse for Generative Zero-Shot Learning
Shayan Ramazi - Setare Shabani
Evaluating the Impact of Traveling on COVID-19 Prevalence and Predicting the New Confirmed Cases According to the Travel Rate Using Machine Learning: A Case Study in Iran
Anita Ghandehari - Soheil Shirvani - Hadi Moradi
Distinguishing Abstracts of Human-Written and ChatGPT-Generated Papers in the Field of Computer Science
Mohsen Arzani - Hamed Vahdat-Nejad - Matin Hossein-Pour
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data
Rasoul Jafari Gohari - Laya Aliahmadipour - Ezat Valipour
A Simple Low Cost Approach to Detect Hand Gesture Based on Software Event Camera Emulation
Ali Sabet Akbarzadeh - Abedin Vahedian
Age Estimation Based on Facial Images Using Hybrid Features and Particle Swarm Optimization
NILOUFAR MEHRABI - SAYED PEDRAM HAERI BOROUJENI
Real-Time Gender Recognition with a Deep Neural Network
Samad Azimi Abriz - Majid Meghdadi
A scalable blockchain-based educational network for data storage and assessment
Maryam Fattahi Vanani - Hamidreza Shayegh Borujeni - Ali Nourollah
Automatic Detection and Risk Assessment of Session Management Vulnerabilities in Web Applications
Nasrin Garmabi - Mohammad Ali Hadavi
more
Samin Hamayesh - Version 41.5.3