Wireless Sensor Network - Science topic

The issue of force misfortune in wireless sensor networks is one of the fundamental points and central defects that should be defeated in building any coordinated computer information trade and communications framework. Where numerous new examinations have given the idea that talk about this point and recommended various techniques and systems of t...

Wireless sensor networks (WSNs) consist of small, low-cost, low-power sensors deployed to monitor environmental changes and transmit data to a static base station. A major challenge in WSNs is energy consumption, particularly in nodes near the static sink, leading to the "hotspot" or "energy hole" problem, which disrupts data transmission and reduc...

Adding mobile sinks (MSs) to wireless sensor networks (WSNs) has proven to increase network longevity and improve data delivery services. We accomplish this goal by reducing routing expenses and preventing the emergence of any hotspot zones inside the network. On the other hand, path determination and MS visiting point selection in WSNs are difficu...

The wireless sensor network (WSN) has received significant recognition for its positive impact on environmental monitoring, yet its reliability remains prone to faults. Common factors contributing to faults include connectivity loss from malfunctioning node interfaces, disruptions caused by obstacles, and increased packet loss due to noise or conge...

With many practical applications, wireless sensor networks (WSNs) represent an important field of study. Real-world applications of WSNs include smart home automation, healthcare, agriculture, industrial automation, and environmental monitoring. WSNs present countless chances for creative solutions across various industries as they develop and beco...

In the context of smart cities, localization technologies are essential for tracking objects in both indoor and outdoor environments. The characteristics of urban settings such as building density, signal interference, and multipath propagation significantly impact the accuracy of localization algorithms. This paper reviews existing localization te...

This research addresses the critical issue of cryptojacking attacks, a significant cybersecurity threat where malicious actors covertly exploit computational resources for unauthorized cryptocurrency mining, particularly in wireless sensor networks (WSN) and Internet of Things (IoT) devices. The article proposes an innovative approach that integrat...

Water pollution presents one of the biggest challenges in the world today, as the degradation of water quality of rivers in many instances is increasing so fast and poses a big danger to all forms of life, eventually causing many aquatic species and other species that depend on them to be endangered. Hence, with the development of Internet of Thing...

Underwater wireless sensor networks have a wide range of application prospects in important fields such as ocean exploration and underwater environment monitoring. However, the influence of complex underwater environments makes underwater wireless sensor networks subject to many limitations, such as resource limitation, channel openness, malicious...

Citation: Modey, P.; Abdul-Salaam, G.; Freeman, E.; Acheampong, P.; Brown-Acquaye, W.L.; Agbehadji, I.E.; Millham, R.C. K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network. Sensors 2024, 24, 7603. https:// Abstract: In Wireless Sensor Networks (WSNs), an efficient clustering technique is critical in optimizing the e...

Wireless Sensor Networks (WSNs) are crucial to various applications within the Internet of Things (IoT), Industry 4.0, Cyber-Physical Systems (CPS), and smart manufacturing. The rising incidences of cyber-attacks highlight the critical need for advanced security measures in WSNs. This study aims to develop a robust Intrusion Detection System (IDS)...

This paper investigates using deep reinforcement learning (DRL) methods for optimizing trustworthy federated learning models, with a focus on integrated sensing and communication in practical wireless sensing scenarios. Challenges include computational disparities among edge sensing nodes, network transmission differences, and the non‐independent a...

To optimize the deployment of nodes in Wireless Sensor Networks (WSN) and effectively control network node energy consumption, thereby improving the quality of perception services, a Transit search algorithm based on oscillation exploitation factor and Roche limit is proposed. The Roche limit-inspired approach enhances the stellar phase of the algo...

With an array of applications, Wireless Sensor Networks (WSNs) have the potential to transform the world into a smart planet. WSNs consist of a collection of resource-constrained sensors that gather data, which is then utilized for decision-making and analysis, leading to improvements in quality of service, management, and efficiency. However, the...

Wireless Sensor Network’s are inherently power-constrained, with data transmission being a major source of energy depletion. Efficient data aggregation is therefore essential to minimize energy consumption and extend the network’s operational lifetime. This paper introduces a novel hybrid meta-heuristic optimization algorithm that integrates the sq...

The Internet of Things (IoT) offers substantial potential for enhancing real-time interaction between various smart components within a network. To reduce communication costs in the IoT infrastructure, wireless sensors can be employed as a cost-effective solution. The widespread applications of wireless sensor networks (WSNs) across various domains...

Distance Vector-Hop (DV-Hop) is a classical range-free localization algorithm based on distance vector routing protocol in wireless sensor networks (WSNs). However, the traditional DV-Hop algorithm has limited positioning accuracy, and the connectivity and stability of the network is susceptible to the heterogeneity and density variation of the nod...

Distribution transformers are one of the most important equipment in power network. Because of, the large number of transformers distributed over a wide area in power electric systems, the data acquisition and condition monitoring is a important issue. Here transformers are damaged due to the oil damage. Oil damage is depends on different parameter...

This manuscript presents ABSAS-CS-GSA, an improved iteration of the beetle antennae search (BAS) algorithm, tailored to address the shortcoming of the BAS with low convergence accuracy and easily falling into local optima. The improvements are structured into three principal components: first, dynamic step-size adjustment predicated on initial popu...

This study aims to improve the performance of wireless sensor networks (WSNs) using Dijkstra’s algorithm. WSNs are vital in applications like environmental monitoring and industrial processes, requiring efficient data flow and power management to extend their operational life. Dijkstra’s algorithm is implemented to find the shortest paths between n...

The intersection of security and sustainability within wireless sensor networks (WSNs) underscores pivotal factors such as energy efficiency, resource optimization, energy waste reduction, and the sustained integrity of network infrastructure. This interplay ensures that deployments are not just efficient but also ecologically sound. WSNs comprise...

Underwater Wireless Sensor Networks (UWSNs) are employed in various applications ranging from observing the underwater environment to military applications, which leads to attaining interest for many investigators in the UWSNs area. They experience more problematic issues because they are deployed underwater. Some of the common difficulties involve...

The emerging wireless energy transfer technology enables sensor nodes to maintain perpetual operation. However, maximizing the network performance while preserving short charging delay is a great challenge. In this work, a Wireless Mobile Charger (MC) and a directional charger (DC) were deployed to transmit wireless energy to the sensor node to imp...

In this paper, we conducted a study on multi-UAV-assisted Wireless Sensor Networks (WSNs) data collection. First, to address the challenges of network construction and data transmission timeliness, we introduced the concepts of data collection UAV (UAV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \use...

With recent advancements in microelectromechanical systems, low-power integrated circuits, and wireless communications, wireless sensor networks have gained immense significance [1][2]These distributed networks facilitate the efficient utilization of resources as well as create countless opportunities for everyday life applications: personal health...

The automotive industry faces challenges such as resource waste and environmental pollution, and it is urgent to improve production efficiency and reduce environmental impact through innovative technologies. The rapid development of automation technologies in the Internet of Things (IoT) offers new opportunities for efficient and environmentally fr...

The underwater wireless sensor networks (UWSNs) area is a developing area of research since there are tremendous opportunities like surveying marine life, installing and monitoring optical cables, detecting earthquakes, and surveillance of territorial borders. Though many applications exist, underwater research explored to date is less than five pe...

Backscatter communication (BC) becomes a promising energy-efficient solution for future wireless sensor networks (WSNs). Unmanned aerial vehicles (UAVs) enable flexible data collection from remote backscatter devices (BDs), yet conventional UAVs rely on omni-directional fixed-position antennas (FPAs), limiting channel gain and prolonging data colle...

In this paper, we demonstrate the realistic test of a 2.4 GHz multi-hop wireless network for mountainous forest and watercourse environments. A multi-hop network using IEEE 802.15.4 XBee3 micro-modules and a communication protocol among nodes were developed. A wireless node deployment solution was introduced for practical testing. The proposed syst...

The pipeline leakage detection and leak localization trouble is a highly demanding and dangerous issue. Underground pipelines are critical for transporting enormous fluid volumes (e.g., water) across extended distances. Not only would solving this issue save the nation a great deal of money and resources, but it will also save the environment. Howe...

Industrial Wireless Sensor Networks (IWSN) is the cornerstone of the factories of the future. The massive volumes of heterogeneous data generated from large-scale IWSNs still pose challenges to the establishment of predictable, deterministic, and real-time transmission scheduling. One of the major obstacles in wireless sensor networks (IWSNs) is th...

The security principles of the fifth generation (5G) are anticipated to include robust cryptography models, information security models, and machine learning (ML) powered Intrusion Detection Systems (IDS) specifically designed for Internet of Things (IoT) based wireless sensor networks (WSNs). Nevertheless, the existing security models fall short i...

The advent of the Internet of Things (IoT) and wireless sensor networks (WSNs) has revolutionized modern agriculture, paving the way for smart vegetable growing. These technologies enable the precise monitoring and control of various environmental factors such as temperature, air humidity, soil moisture, and light levels. By integrating IoT and WSN...

Motivated by the pivotal role of routing in Wireless Sensor Networks (WSNs) and the prevalent security vulnerabilities arising from existing protocols, this research tackles the inherent challenges of securing WSNs. Many current WSN routing protocols prioritize computational efficiency but lack robust security measures, making them susceptible to e...

In view of the poor adaptability and uneven coverage of static underwater wireless sensor networks (UWSNs) to environmental changes and the need for dynamic monitoring, a three-dimensional coverage method involving a dynamic UWSNs for marine ranching, based on an improved sparrow search algorithm (ISSA), is proposed. Firstly, the reverse learning s...

In the world of wireless sensor networks (WSNs), optimizing performance and extending network lifetime are critical goals. In this paper, we propose a new model called DTLR-Net (Deep Temporal LSTM Regression Network) that employs long-short-term memory and is effective for long-term dependencies. Mobile sinks can move in arbitrary patterns, so the...

The dependability of nodes in an Industrial Wireless Sensor Network (IWSN) is vital for precise decision-making and the overall functioning of the network. Unreliable nodes have the potential to result in incorrect data, which can undermine the reliability of monitoring and control systems. Inaccurate decision-making in IWSNs can result in operatio...

Wireless sensor networks (WSNs) play a crucial role in the Internet of Things (IoT) for ubiquitous data acquisition and tracking. However, the limited battery life of sensor nodes poses significant challenges to the long-term scalability and sustainability of these networks. Wireless power transfer technology offers a promising solution by enabling...

In this paper, we investigate the joint design of beamforming vectors and trajectory for unmanned aerial vehicles (UAVs) in integrated sensing and communications networks, aiming to maximize the achievable covert rate (ACR) for legitimate users against multiple passive wardens. Considering the worst-case scenario, where the wardens strategically se...

This paper studies a graph-based sensor deployment approach in wireless sensor networks (WSNs). Specifically, in today's world, where sensors are everywhere, detecting various attributes like temperature and movement, their deteriorating lifetime is indeed a very concerning issue. In many scenarios, these sensors are placed in extremely remote area...

With the acceleration of urbanization, the construction scale and complexity of high-rise buildings increase. In order to solve this problem, this study aims to explore the intelligent construction design based on multi-objective positioning algorithm and wireless sensor network (WSN) to improve the efficiency and safety of high-rise steel structur...

In wireless sensor network, mobile sink is used to collect data from sensor nodes by periodically traversing the network to prevent hotspot problem. However, when sensor nodes generate data non-uniformly, the efficiency of data collection is constrained by rendezvous points and network topology. It becomes more challenging under network energy cons...

Wireless Sensor Networks (WSN) and Vehicular Ad-hoc Networks (VANET) have been extensively used in IoT applications for environmental monitoring, especially in rural and agricultural areas. In this paper we present a novel combined approach which uses both WSN and VANET clustered structures for the efficient gathering and processing of environmenta...

Electromagnetic tracking is essential in surgical navigation without line of sight and to reduce use of harmful radiation-based imaging. The inductive sensors used in current electromagnetic tracking systems are small, often less than a millimetre in diameter, but the need for a wired connection from the sensor to the control unit can cause obstruc...

A wireless, non-contact and sub-mm liquid level sensor is demonstrated. The design is based on the nested split-ring resonator (NSRR) structure, preferred for its high sensitivity and compact size. The concept of sensing is explained by an equivalent circuit model, the parameters of which are functions of the change in the level of the liquid that...

Kablosuz sensör ağları (KSA), nesnelerin interneti (IoT), çevresel izleme ve askeri uygulamalar gibi birçok alanda yaygın olarak kullanılmaktadır. Bu ağlarda görev yönetiminin optimizasyonu, enerji tüketimi, veri aktarım güvenilirliği ve ağ ömrü gibi temel parametrelerin geliştirilmesi açısından kritik öneme sahiptir. Klasik optimizasyon yöntemleri...

The integration of energy harvesting techniques has the potential to significantly prolong target monitoring in wireless sensor networks (WSNs). However, the stochastic nature of hybrid solar-wind energy arrivals poses a significant challenge to optimizing energy utilization for target coverage. To address this issue, we propose a dynamic and distr...

ICT (Information and Communication Technology) and related aspects, such as IoT, have a major influence on all aspects of our lives. IoT as a dominating miracle is changing the quality of life using innovations in RFID (Radio Frequency Identification) and WSN (Wireless Sensor Network). As IoT has developed, it has become more powerful in terms of a...

Greenhouses have taken on a fundamental role in agriculture. The Internet of Things (IoT) is a key concept used in greenhouse-based precision agriculture (PA) to enhance vegetable quality and quantity while improving resource efficiency. Integrating wireless sensor networks (WSNs) into greenhouses to monitor environmental parameters represents a cr...

The constant demand to secure the location of an asset in wireless sensor networks (WSNs) has led to the need for the development of location privacy preservation mechanisms. Source location privacy preservation, particularly for a single source has received tantamount attention in the last few years, whereas very few schemes have been discussed fo...

With the advancement of Industry 4.0, digital manufacturing has become an important means to improve production efficiency and reduce costs. The rapid development of virtual reality (VR) technology provides a new application scenario for digital manufacturing, while wireless sensor network (WSN) technology provides reliable support for data acquisi...

Underwater wireless sensor networks (UWSNs) have been applied in lots of fields. However, coverage holes are usually caused by complex underwater environment. Coverage holes seriously affect UWSNs’ performance and quality of service; thus, their recovery is crucial for 3D UWSNs. Although most of the current research recovery algorithms demand hole...

Wireless sensor networks (WSNs) are widely used for detecting objects, collecting, analyzing, and communicating information. Optimizing the estimation of sensor node positions is crucial for precise and reliable operations. The standard Distance Vector Hop (DV-Hop) localization method, while simple and practical, lacks sufficient accuracy. This art...

This work explores the possibility of reducing computations in a distributed estimation setup, utilizing a self organizing hierarchical particle swarm optimization algorithm. Reducing computations is essential for any application using wireless sensors in a distributed network, as the sensors need to save processing power in order to last longer. A...

Τhis paper provides a comprehensive overview of sensors commonly used in low-cost, low-power systems, focusing on key concepts such as IoT, Big Data, and smart sensor technologies. It defines the evolving roles of sensors, emphasizing their characteristics, technological advancements, and the transition toward 'smart sensors' with integrated proces...

Managing energy consumption poses a substantial challenge within Wireless Sensor Networks (WSN) due to frequent communication among sensor nodes. A reliable scheduling framework presents a promising solution for maximizing WSN lifetime, minimizing energy consumption, and ensuring robust communication. Despite various proposed methods for reliable s...

Agriculture contributes least nine countries of the world, agriculture is the industry is trying to find creative proposals climatic changes, increase in population growth and food security administered territories of Jammu and Kashmir, the Holistic Agriculture Development Plan includes a project focused on Sensor surveying and executing AI-based o...

An Underwater Wireless Sensor Network (UWSN) is a wireless communication network designed to monitor underwater applications using sensor nodes. These sensor nodes monitor various acoustic properties, such as pH, temperature, salinity, hardness and pressure. UWSNs are used to monitor underwater animals, assess the health of marine mammals, and trac...

This monograph presents a theoretical background and a broad introduction to the Min-Max Framework for Majorization-Minimization (MM4MM), an algorithmic methodology for solving minimization problems by formulating them as min-max problems and then employing majorization-minimization. The monograph lays out the mathematical basis of the approach use...

The fields of information encryption and privacy protection widely use hash functions, but the traditional hash functions still struggle to handle the increasingly complex encryption tasks of sensitive data. The study enhances the traditional hash function and develops a hash function (SHF) that is based on random and chaotic structures. The SHF ra...