Journal ArticleDOI
Self-maintenance model for Wireless Sensor Networks
TLDR
A distributed self-healing approach for both node and cluster head levels for wireless Sensor Networks, where, at node level, battery, sensor and receiver faults can be diagnosed while, at cluster head level, transmitter and mal-functional nodes can be detected and recovered.About:
This article is published in Computers & Electrical Engineering.The article was published on 2017-12-01. It has received 107 citations till now. The article focuses on the topics: Fault detection and isolation & Wireless sensor network.read more
Citations
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Journal ArticleDOI
Trust-based secure clustering in WSN-based intelligent transportation systems
Tarek Gaber,Tarek Gaber,Sarah Abdelwahab,Mohamed Elhoseny,Mohamed Elhoseny,Aboul Ella Hassanien +5 more
TL;DR: A bio-inspired and trust-based cluster head selection approach for WSN adopted in ITS applications and the results demonstrated that the proposed model achieved longer network lifetime, i.e., nodes are kept alive longer than what LEACH, SEP and DEEC can achieve.
Journal ArticleDOI
Anomaly detection in wireless sensor network using machine learning algorithm
TL;DR: This paper forms an Online Locally Weighted Projection Regression (OLWPR) for anomaly detection in Wireless Sensor Network and attains the detection rate of 86 percentage and very low error rate of only 16%.
Book ChapterDOI
Energy Efficient Optimal Routing for Communication in VANETs via Clustering Model
Mohamed Elhoseny,K. Shankar +1 more
TL;DR: This paper presents K-Medoid Clustering model to cluster the vehicle nodes and after that, energy efficient nodes are recognized for compelling communication and the V2V communication accomplishes less execution time contrasted with existing algorithms.
Journal ArticleDOI
Energy efficient collaborative proactive routing protocol for Wireless Sensor Network
Reem E. Mohamed,Walid R. Ghanem,Walid R. Ghanem,Abeer Twakol Khalil,Mohamed Elhoseny,Mohamed Elhoseny,Muhammad Sajjad,Mohamed A. Mohamed +7 more
TL;DR: A Collaborative Distributed Antenna (CDA) routing protocol is proposed that is based on DCT with optimal node degree and is designed for periodic data monitoring in WSN applications and is proved to double the network stability period and reduce the ratio between instability period and the network lifetime to its half.
Journal ArticleDOI
Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance
TL;DR: A transaction window bagging model, a parallel and incremental learning ensemble, is proposed as a solution to handle the issues in credit card transaction data to effectively handle concept drift and data imbalance.
References
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Journal ArticleDOI
A Genetic Algorithm-Based, Dynamic Clustering Method Towards Improved WSN Longevity
TL;DR: A genetic algorithm-based, self-organizing network clustering (GASONeC) method that provides a framework to dynamically optimize wireless sensor node clusters and greatly extends the network life and the improvement up to 43.44 %.
Journal ArticleDOI
Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm
TL;DR: A Genetic Algorithm based method that optimizes heterogeneous sensor node clustering and greatly extends the network life, and the average improvement with respect to the second best performance based on the first-node-die and the last- node-die is 33.8% and 13%, respectively.
Proceedings ArticleDOI
FIND: faulty node detection for wireless sensor networks
Shuo Guo,Ziguo Zhong,Tian He +2 more
TL;DR: FIND is proposed, a novel method to detect nodes with data faults that neither assumes a particular sensing model nor requires costly event injections and shows that average ranking difference is a provable indicator of possible data faults.
Journal ArticleDOI
Optimizing K-coverage of mobile WSNs
TL;DR: A new model that uses the Genetic Algorithm (GA) to optimize the coverage requirements in WSNs to provide continuous monitoring of specified targets for longest possible time with limited energy resources is proposed.
Journal ArticleDOI
An energy efficient encryption method for secure dynamic WSN
TL;DR: Simulation results demonstrated that the proposed method exhibited much improved network lifetime and reduced the energy consumption most evenly among all sensor nodes, and overcame many security attacks including brute-force attack, HELLO flood attack, selective forwarding attack, and compromised cluster head attack.