Article
Chemistry, Analytical
Saoucene Mahfoudh
Summary: The success of Underwater Sensor Networks (UWSNs) lies in their ability to support diverse applications and the increasing interest in exploring and monitoring the sea and ocean. This research focuses on network deployment, proposing a self-adjustment redeployment protocol that improves network coverage, connectivity, and energy efficiency. By studying and leveraging water currents, the protocol adjusts node positions to achieve total area coverage and minimize distance traveled by the nodes during deployment, resulting in a high coverage rate of 97% and a 41% reduction in travel distance.
Article
Computer Science, Information Systems
Diksha Rangwani, Hari Om
Summary: The underwater environment has significant potential for ecosystem understanding, industrial operations, and natural disaster prediction. To effectively monitor this environment, Underwater Wireless Sensor Networks (UWSNs) are being developed and deployed. However, the unreliable nature of the underwater environment poses security threats to communications conducted through UWSNs. To address this issue, a multi-factor authentication protocol based on the chaotic map is proposed for monitoring the underwater environment, and its security is validated through formal and informal security analysis as well as simulations using the AVISPA tool. The proposed protocol outperforms existing ones in the underwater environment.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Ahmed Al Guqhaiman, Oluwatobi Akanbi, Amer Aljaedi, Chinghua Edward Chow
Summary: UWSNs face challenges in designing efficient and reliable MAC protocols due to limited resources; Current MAC protocols for TWSNs are not suitable for UWSNs; Software-based MAC protocol designs are flexible and can change system parameters without additional hardware.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yishan Su, Yini Xu, Zhifeng Pang, Yuru Kang, Rong Fan
Summary: In this article, a hybrid coding-aware routing protocol (HCAR) is proposed for underwater acoustic sensor networks (UASNs). HCAR introduces interflow network coding and combines reactive routing with opportunistic routing to effectively reduce the number of transmissions. Simulation results and sea tests demonstrate that HCAR can optimize the routing problem of UASNs with multiple source nodes and a single sink node.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Rehenuma Tasnim Rodoshi, Yujae Song, Wooyeol Choi
Summary: In underwater wireless sensor networks, routing algorithms based on reinforcement learning can learn and optimize in underwater environments without prior knowledge, however, facing challenges such as high energy consumption and narrow bandwidth. Various routing protocols differ in terms of key ideas, designs, optimization criteria, and performance evaluation.
Article
Chemistry, Multidisciplinary
Xingxing Xiao, Haining Huang, Wei Wang
Summary: This paper proposes a novel energy-efficient clustering routing protocol for underwater wireless sensor networks (UWSNs) based on data fusion and genetic algorithms (GAs). The protocol aggregates data through an improved BPNN and determines an effective multi-hop transmission path using an enhanced GA, leading to improved transmission efficiency and reduced energy consumption. Experimental results demonstrate that the protocol outperforms competitors in terms of energy expenditure, network lifespan, and packet loss rate.
APPLIED SCIENCES-BASEL
(2021)
Article
Fisheries
Richard W. Newton, Silvia Maiolo, Wesley Malcorps, David C. Little
Summary: Marine ingredients are important for aquaculture and livestock feeds, but detailed information on their environmental impact is limited. A Life Cycle Inventory was compiled to allow for Life Cycle Assessments of marine ingredients, but there are still data gaps that need to be filled. An LCA demonstrated that marine ingredients have variable impacts, mostly depending on the fuel intensity of the fishery they are sourced from.
Article
Environmental Sciences
Donatas Bagocius, Aleksas Narscius
Summary: Aquatic animals rely on sound for communication, navigation, prey, and predator avoidance in turbid waters. Anthropogenic noise can alter the marine habitats, affecting marine life. This study assesses the underwater sound levels in Klaipeda harbour area and discusses the potential negative effects of elevated underwater noise levels on fish species and possible measures.
MARINE POLLUTION BULLETIN
(2022)
Article
Computer Science, Information Systems
Qingwen Wang, Jianghui Li, Qian Qi, Pan Zhou, Dapeng Oliver Wu
Summary: The Internet of Underwater Things (IoUT) has promising applications in both civil and military fields, with underwater acoustic sensor networks (UASNs) facing challenges such as high latency, high mobility, and low bandwidth. To address these challenges, an adaptive-location-based routing protocol (ALRP) for 3-D UASNs is proposed, aiming to improve forwarding efficiency by defining forwarding areas, adaptively calculating forwarding probabilities, and obtaining forwarding delays. The ALRP significantly enhances network performance compared to existing protocols, as shown in simulation results using Aqua-sim.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Zahoor Ali Khan, Obaida Abdul Karim, Shahid Abbas, Nadeem Javaid, Yousaf Bin Zikria, Usman Tariq
Summary: The research proposes a Q-learning based energy-efficient and balanced data gathering (QL-EEBDG) routing protocol, selecting nodes with higher residual energy as forwarder nodes and grouping them accordingly to ensure efficient energy consumption and prolonged network lifetime.
Article
Computer Science, Information Systems
L. Alsalman, E. Alotaibi
Summary: Underwater Sensor Networks (UWSNs) are wireless networks deployed in oceans, seas, and rivers for real-time environmental exploration. Communication mechanisms like acoustic channels, optical waves, or magnetic induction are used due to the incompatibility of radio frequency with the UWSN environment. Data collection and routing face challenges due to the dynamic nature of UWSNs, requiring specialized protocols like BRP-ML to improve latency and energy efficiency.
Article
Computer Science, Information Systems
Mingyue Zhang, Jianpeng Xie, Zongyang Wang, Lutong Liang, Pengfei Gu, Peilin Jin, Jie Zhou
Summary: By introducing a novel multi-objective routing protocol named MO-CBACORP, this study effectively reduces the energy consumption of sensor nodes in underwater monitoring wireless sensor networks, enhances system security, and addresses the issue of routing latency. Experimental results demonstrate that MO-CBACORP outperforms other research algorithms in terms of route security, network energy consumption, and delay.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Engineering, Marine
George Katselis, Konstantinos Tsolakos, John A. Theodorou
Summary: Greek marine aquaculture plays a leading role in the Mediterranean mariculture industry and contributes significantly to the country's economy. In this study, the spatial distribution of Greek finfish farming activity and its potential impact zones on the marine environment were estimated and mapped. The results showed that Greek marine fish farming activity is highly spatially aggregated but with a moderate intensity of impacts due to legal constraints. The study provides important geodata for spatial planning, environmental impact monitoring, and research.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
Ning Sun, Xingjie Wang, Guangjie Han, Yan Peng, Jinfang Jiang
Summary: This study proposes a collision-free time slot scheduling MAC protocol based on a multi-level quorum system for high loaded UWSNs to address data transmission collision issues. By allocating different time slots to nodes and adjusting them based on data transmission amount, the protocol effectively reduces transmission collision and improves system performance.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
C. Madan Kumar, Ruhul Amin, M. Brindha
Summary: This study proposes an underwater wireless sensor network architecture and designs an authentication technique for secure communication. The protocol is found to be secure against a wide range of security threats and performs satisfactorily in terms of security features, computation, and communication cost.
JOURNAL OF SYSTEMS ARCHITECTURE
(2022)
Article
Management
Naila Fares, Jaime Lloret, Vikas Kumar, Guilherme F. Frederico, Anil Kumar, Jose Arturo Garza-Reyes
Summary: This study analyzed the resilience of customer demand management post-COVID-19, using fast fashion as an example. The results revealed that maintaining customer loyalty is the highest priority, followed by e-commerce endorsement, a customer-focused assortment of items, and flexible store operations.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2023)
Article
Computer Science, Information Systems
Ritesh Yaduwanshi, Sushil Kumar, Arvind Kumar, Omprakash Kaiwartya, Deepti Deepti, Mohammad Aljaidi, Jaime Lloret
Summary: This paper proposes an efficient geocast routing (EGR) approach for highway IoV-traffic environment considering the shadowing fading condition. EGR utilizes a temporal link quality model and geometrical localization to solve the GPS outage problem and selects the next forwarding vehicle from the forward region based on temporal link quality for geocast routing. Simulation results show that EGR outperforms existing approaches in handling wireless communication link breakage and throughput issues in highway traffic environment, as well as ensuring faster message delivery.
Article
Computer Science, Information Systems
Khalid Haseeb, Fahad A. Alzahrani, Mohammad Siraj, Zahid Ullah, Jaime Lloret
Summary: This paper proposes an algorithm for mobile networks using fog computing to reduce network disconnectivity and improve energy efficiency. The algorithm transmits aggregated data using adjustable transmission power and reduces data load among devices with the support of fog nodes and a secured authentication scheme. Simulation experiments demonstrate the significance of the proposed algorithm in enhancing performance.
Article
Computer Science, Information Systems
Amjad Mehmood, Zeeshan Iqbal, Arqam Ali Shah, Carsten Maple, Jaime Lloret
Summary: The use of UAVs in search and rescue operations has been found to be highly advantageous. This article focuses on deploying a UAV network with a long battery life and complete coverage of the disaster area. The proposed intelligent cluster-based multi-unmanned aerial vehicle (ICBM-UAV) protocol allows for efficient communication and the quick discovery of victims through clustering techniques, reducing workload and improving network life.
Article
Computer Science, Theory & Methods
Fasee Ullah, Chi-Man Pun, Omprakash Kaiwartya, Ali Safaa Sadiq, Jaime Lloret, Mohammed Ali
Summary: This paper proposes a healthcare IoT data privacy trust management framework called HIDE, which encrypts and decrypts sensory data using patients' attributes to ensure data privacy in cloud storage. The framework also prevents data duplication by using intelligent object pointers and develops a content-based emergency data access control to monitor multiple patient health criticalities. Security analysis and experimental evaluation confirm the advantages of the proposed HIDE framework in terms of security and privacy metrics.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Jaganathan Logeshwaran, Nallasamy Shanmugasundaram, Jaime Lloret
Summary: This paper proposes an intelligent and energy-efficient resource optimization model for device-to-device (D2D) communication. By allocating resources in an efficient manner, it helps reduce energy consumption, extend device lifespan, and decrease communication cost and environmental impact.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Vinoth Kumar Krishnamoorthy, Usha Nandini Duraisamy, Amruta S. Jondhale, Jaime Lloret, Balaji Venkatesalu Ramasamy
Summary: This paper introduces an indoor object tracking method using received signal strength indicator (RSSI) measurements and wireless sensor network (WSN). The author proposes a range-free radial basis function neural network (RBFN) and Kalman filtering (KF) based algorithm named RBFN+KF to reduce the location estimation errors caused by random variations in RSSI measurements. The simulation results show that the RBFN+KF algorithm achieves lower location estimation errors compared to trilateration, multilayer perceptron (MLP), and RBFN-based estimations. Additionally, it is also observed that the RBFN-based approach is more energy efficient than trilateration and MLP-based localization approaches.
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
(2023)
Article
Chemistry, Analytical
Sandra Viciano-Tudela, Lorena Parra, Paula Navarro-Garcia, Sandra Sendra, Jaime Lloret
Summary: This article proposes a new system for characterizing essential oils using low-cost sensor networks and machine learning techniques. The study found that using k-nearest neighbors algorithm, the accuracy, recall, F1-score, and precision values for identifying essential oils were 1, 0.99, 0.99, and 1, respectively.
Article
Chemistry, Analytical
Lorena Parra, Sandra Viciano-Tudela, David Carrasco, Sandra Sendra, Jaime Lloret
Summary: The paper presents a low-cost multiparametric probe that can be deployed in coastal areas and integrated into a wireless sensor network. The probe is composed of physical sensors capable of measuring water temperature, salinity, and total suspended solids (TSS). Calibration results show no effect of temperature on the sensors and no interference of salinity in the measuring of TSS or vice versa. The calibration models for salinity and TSS show good correlation coefficients and low mean absolute errors.
Article
Chemistry, Analytical
Javier Rocher, Jose M. Jimenez, Jesus Tomas, Jaime Lloret
Summary: In this paper, a low-cost sensor is proposed to monitor eutrophication in water bodies. The sensor can measure concentrations of 0 to 200 mg/L and different mixtures of sediment and algae. The results show that the sensor can determine turbidity and solid concentration with certain errors. The classification accuracy of the neural network for determining the % of algae is 89.3%, and there is an error of 17.95% in determining the mg/L of algae in water.
Article
Chemistry, Analytical
Ali Mohd Ali, Mohammad R. Hassan, Ahmad al-Qerem, Ala Hamarsheh, Khalid Al-Qawasmi, Mohammad Aljaidi, Ahmed Abu-Khadrah, Omprakash Kaiwartya, Jaime Lloret
Summary: This research paper investigates the spatial distributions of five different services (VoIP, VC, HTTP, and Electronic Mail) using three different approaches (circular, random, and uniform). It establishes a new algorithm to assess the real-time and best-effort services of IEEE 802.11 technologies and proposes a network prioritization framework for smart environments. The framework is validated using a simulation setting.
Article
Computer Science, Interdisciplinary Applications
Naila Fares, Jaime Lloret, Vikas Kumar, Guilherme F. Frederico
Summary: This study analyzes the operations of two synchronized channels in fast-fashion retail, focusing on the buy online and return in store (BORS) strategies. The authors use a combination of techniques, including SWOT analysis, AHP, and fuzzy VIKOR, to identify the factors affecting BORS. The study identifies 21 factors, with the opportunity for a better shopping experience in the fitting room ranked as the most important factor. The study provides practical implications for effective managerial decision-making for fast-fashion retailers.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2023)
Article
Business
Naila Fares, Jaime Lloret, Vikas Kumar, Sander de Leeuw, Liz Barnes
Summary: This study examines the challenges of multi-tier supply chains and proposes a mathematical model to support decision-makers in formulating supply chain policies. The model takes into account the social, environmental, and economic constraints through corporate social responsibility considerations. The research findings demonstrate the importance of considering social aspects in addition to economic impact, particularly in situations with high environmental costs and low return on investment. The mathematical model is efficient in optimizing the distribution network of the entire supply chain while considering CSR concerns. This study contributes to the advancement of multi-tier supply chain optimization and provides practical insights for distribution decisions.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2023)
Article
Computer Science, Hardware & Architecture
Amjad Rehman, Ibrahim Abunadi, Khalid Haseeb, Tanzila Saba, Jaime Lloret
Summary: Artificial intelligence (AI) is experiencing significant growth in the areas of smart cities, agriculture, food management, and weather forecasting, primarily due to the limitations of computing power on sensing devices. The integration of AI with IoT and ubiquitous sensors has led to improvements in the agricultural sector and reduced management costs. However, optimizing resource management and data load for forwarding nodes near edge boundaries remains a challenging issue due to limited wireless technology resources.
COMPUTER STANDARDS & INTERFACES
(2024)
Article
Computer Science, Artificial Intelligence
Yun-Shan Wei, Jin-Fan Wang, Jia-Xuan Wang, Qing-Yuan Xu, Jaime Lloret
Summary: This article proposes an open-closed-loop iterative learning control (ILC) strategy for linear time varying multiple input multiple output (MIMO) systems with vector relative degree, where the time interval of operation depends on the number of iterations. A feedback control is introduced in the ILC design to compensate for the missing tracking signal caused by the iteration-dependent interval. The study shows that under certain assumptions, the ILC tracking error can converge to zero as the number of iterations tends to infinity. Additionally, the effectiveness of the developed method is illustrated through a simulation example.
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY
(2023)