A detection probability guaranteed energy-efficient scheduling mechanism in large-scale WSN

A detection probability guaranteed energy-efficient scheduling mechanism in large-scale WSN

In intrusion detection wireless sensor network (WSN), ensuring detection performance and prolonging network lifetime are two equally important but contradictory pursuits. In this paper, we propose a node scheduling scheme jointly considering the detection probability, energy consumption, and energy...

Full description

Bibliographic Details
Main Authors:	Xue Zhao, Zhiyi Qu, Hongying Tang, Shaojun Tao, Jiang Wang, Baoqing Li, Yusong Shi
Format:	Article
Language:	English
Published:	Elsevier 2023-05-01
Series:	Alexandria Engineering Journal
Subjects:	Intrusion detection Detection probability Node scheduling Energy balance Network lifespan
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016823002314

Similar Items

Discussion on Application of WSN in Vehicle Scheduling System of Open-cut
by: ZHANG Guo-ying, et al.
Published: (2010-06-01)

Lifetime improved WSN using enhanced-LEACH and angle sector-based energy-aware TDMA scheduling
by: Ramadhani Sinde, et al.
Published: (2020-01-01)

A statistical approach for enhancing security in VANETs with efficient rogue node detection using fog computing
by: Anirudh Paranjothi, et al.
Published: (2022-10-01)

Integrating Preventive Maintenance Scheduling As Probability Machine Failure And Batch Production Scheduling
by: Zahedi Zahedi, et al.
Published: (2016-06-01)

Securing Wireless Sensor Network (WSN) Using Embedded Intrusion Detection Systems
by: Qutaiba I. Ali, et al.
Published: (2012-06-01)

A novel energy-efficient scheduling method for three-dimensional heterogeneous wireless sensor networks based on improved memetic algorithm and node cooperation strategy
by: Pingzhang Gou, et al.
Published: (2023-07-01)

Artificial Intelligence-based intrusion detection system for V2V communication in vehicular adhoc networks
by: Abizar Khalil, et al.
Published: (2024-04-01)

Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach With Curated Dataset Generation for Enhanced Security
by: Shahneela Pitafi, et al.
Published: (2023-01-01)

Secure Modern Wireless Communication Network Based on Blockchain Technology
by: Radha Raman Chandan, et al.
Published: (2023-02-01)

Hybrid extreme learning machine-based approach for IDS in smart Ad Hoc networks
by: Bijian Liu
Published: (2023-08-01)

Online Mining Intrusion Patterns from IDS Alerts
by: Kai Zhang, et al.
Published: (2020-04-01)

Multi-Sensor Optimization Scheduling for Target Tracking Based on PCRLB and a Novel Intercept Probability Factor
by: Gongguo Xu, et al.
Published: (2019-01-01)

An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking
by: Zhiyi Qu, et al.
Published: (2022-09-01)

A Novel Anomaly-Based Intrusion Detection Model Using PSOGWO-Optimized BP Neural Network and GA-Based Feature Selection
by: Saeid Sheikhi, et al.
Published: (2022-11-01)

Novel Class Probability Features for Optimizing Network Attack Detection With Machine Learning
by: Ali Raza, et al.
Published: (2023-01-01)

Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
by: Fatima Alwahedi, et al.
Published: (2024-01-01)

LC-IDS: Loci-Constellation-Based Intrusion Detection for Reconfigurable Wireless Networks
by: Jaime Zuniga-Mejia, et al.
Published: (2021-12-01)

AI-Assisted Security Alert Data Analysis with Imbalanced Learning Methods
by: Samuel Ndichu, et al.
Published: (2023-02-01)

A fault-tolerant sensor scheduling approach for target tracking in wireless sensor networks
by: Zhiyi Qu, et al.
Published: (2022-12-01)

A Fog Computing Framework for Intrusion Detection of Energy-Based Attacks on UAV-Assisted Smart Farming
by: Junaid Sajid, et al.
Published: (2023-03-01)

Seagull Optimization-based Feature Selection with Optimal Extreme Learning Machine for Intrusion Detection in Fog Assisted WSN
by: Thiruppathi Muthu, et al.
Published: (2023-01-01)

Detecting and classifying low probability of intercept radar /
by: 248634 Pace, Phillip E
Published: (2009)

Cyclic Detectors in the Fraction-of-Time Probability Framework
by: Dominique Dehay, et al.
Published: (2023-11-01)

Development of Bandwidth Optimization and Limiter Software for Network Efficiency in Software-Defined Networks
by: Abdülkadir Çakir, et al.
Published: (2023-01-01)

INTRUSION DETECTION AND PREVENTION FRAMEWORK USING DATA MINING TECHNIQUES FOR FINANCIAL SECTOR
by: Gaurav Sharma, et al.
Published: (2021-12-01)

Prototype of Intrusion Detection Model using UML 5.0 and Forward Engineering
by: Muthaiyan MADIAJAGAN,, et al.
Published: (2011-01-01)

Comprehensive Performance Evaluation Of Network Intrusion System Using Machine Learning Approach
by: Shahzad Haroon, et al.
Published: (2019-07-01)

Intrusion Detection Systems Retraining
by: S. S. Kort
Published: (2010-03-01)

Principle Components Analysis and Multi Layer Perceptron Based Intrusion Detection System
by: Najla Ibraheem, et al.
Published: (2013-03-01)

Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers
by: Alon Kukliansky, et al.
Published: (2024-01-01)

IDSMatch: A Novel Deployment Method for IDS Chains in SDNs
by: Nadia Niknami, et al.
Published: (2024-02-01)

Study of crack detection probability for maintenance reliability of power plant (Estimation of crack detection probability on the damage probability)
by: Hajime SHOHJI, et al.
Published: (2016-12-01)

Detecting and classifying low probability of intercept radar [electronic resource] /
by: 355760 Pace, Phillip E.
Published: (2009)

Tracking Multiple Targets from Multistatic Doppler Radar with Unknown Probability of Detection
by: Cong-Thanh Do, et al.
Published: (2019-04-01)

A Security Monitoring Framework for Mobile Devices
by: António Lima, et al.
Published: (2020-07-01)

Particle swarm optimization based artificial neural network (PSO-ANN) model for effective k-barrier count intrusion detection system in WSN
by: S. Lakshmi Narayanan, et al.
Published: (2023-10-01)

Design and Implementation of Intrusion Detection Systems using RPL and AOVD Protocols-based Wireless Sensor Networks
by: Joseph Kipongo, et al.
Published: (2023-05-01)

A Systematic Review of Intrusion Detection using Hidden Markov Models: Approaches, Applications, and Challenges
by: Ali Ahmadian Ramaki, et al.
Published: (2018-06-01)

A Novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks
by: Ansam Khraisat, et al.
Published: (2019-10-01)

Composite Interference Mapping Model to Determine Interference-Fault Free Schedule in WSN
by: Beneyaz Ara Begum, et al.
Published: (2022-01-01)