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126 results for “Sensor networks”
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Research ArticleOpen accessIn the keywordsOn the Security of the Sensor Cloud Security Library (SCSlib)Mohamed Rasslan, Mahmoud Nasreldin, Ghada Elkabbany, Aya ElshobakyNowadays, cloud computing has experienced remarkable growth. Indeed, one of the main challenges of cloud computing is to protect data from different sensor devices during processing and storing. In 2014, Henze et al. proposed the Sensor Cloud Security library (SCSlib) which allows cloud developer to access encrypted sensor data stored in the cloud. SCSLib drawback is that it allows a … …Journal of Computer Science, Vol. 14, Issue 6 · 23 May 2018 · 8,072 accessesView PDFCite
Review ArticleOpen accessIn the keywordsPrison Perimeter Surveillance System Using WSNShereen Ismail, Eman Alkhader, Amal AhmadThe aim of this paper is to introduce a prison hybrid surveillance system using two main technologies; Wireless Sensor Network (WSN) and Unmanned Aerial Vehicles (UAVs). The system consists of three tiers; Wireless Underground Sensor Network (WUSN) in tier 0, Wireless Ground Sensor Network (WGSN) in tier 1 and Wireless Vision Sensor Network (WVSN) in tier 2 that consists of … …Journal of Computer Science, Vol. 13, Issue 11 · 4 Dec 2017 · 7,586 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDevelopment of Electronic Control Circuits for WSN: Towards a Livestock Tracking and Identification SystemObakeng Maphane, Oduetse Matsebe, Molaletsa NamosheBotswana’s beef sector contributes 0.3% of the total world beef exports, i.e. US$ 42.4 billion as of the year 2013 and her major market is the European Union (EU). Unfortunately, her failure to comply with the frequently changing European Commission (EC) export regulations on livestock tracking and identification means that beef export to this market is sometimes suspended. Research trends … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 4 Oct 2017 · 7,967 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficient Sensor Stream Data Processing System to use Cache Technique for Ubiquitous Sensor Network Application ServiceJun-Yong Park, Ryum-Duck OhProblem statement: For the purpose of supporting application services in the Ubiquitous Sensor Network (USN) environment, efficient processing of stream data that occur in the sensor nodes and relevant utilization technologies are being studied. Approach: The conversion of various sensor stream data that occur in the sensor nodes into sensor data suitable for use in the upper-level application system is … …Journal of Computer Science, Vol. 8, Issue 3 · 9 Jan 2012 · 6,871 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDisjoint Sets in Graphs and its Application to Electrical NetworksFord Lumban GaolProblem statement: One of the well known problems in Telecommunication and Electrical Power System is how to put Electrical Sensor Unit (ESU) in some various selected locations in the system. Approach: This problem was modeled as the vertex covering problems in graphs. The graph modeling of this problem as the minimum vertex covering set problem. Results: The degree covering set … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 25 Mar 2011 · 7,617 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRemote Personal Tracking System (RPTS)Abdfatah A. Yahya, Mahmoud Z. IskandaraniA novel system for remote tracking of personnel was proposed. The system was based on assuring that the moving tracked code belongs to the actual person assigned such a code by smelling and temperature measuring the person who holds such a device. The system would operate using a specific RF signal and allows for an accurate, economic and secure environment … …American Journal of Applied Sciences, Vol. 3, Issue 12 · 31 Dec 2006 · 7,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Wireless Sensor Network Clustering Using a Hybrid Firefly–Bat Algorithm (HFBA)J. Jegan, Senthil kumar P, S. Saravanakumar et al.Wireless Sensor Networks (WSNs) are composed of numerous sensor nodes that collaborate to observe and evaluate various environmental parameters, transmitting the data to a central base station. Each node is equipped with a unique transmitter, receiver, and processor to facilitate sensing, processing, and communication. These networks are often installed in extremely remote and inaccessible areas. A significant challenge arises from … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,431 accessesView PDFCite
Research ArticleOpen accessIn the abstractLSTM-Based AI Model for Sinkhole Attack Detection With Legal Basis in an Ecuadorian Public InstitutionEstefanía Alejandra Mora Parra, Rubén Nogales Portero, Moisés Toapanta T. et al.Wireless Sensor Networks (WSN) are an essential component of the Internet of Things (IoT). However, their decentralized nature, data transmission over unencrypted channels, and the physical exposure of nodes make them especially vulnerable to attacks, among which the sinkhole attack stands out. This research aims to develop a machine learning–based model to detect sinkhole‐type attacks in wireless sensor networks, with … …Journal of Computer Science, Vol. 22, Issue 3 · 4 Mar 2026 · 1,648 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDFCite