Article
Engineering, Marine
Gang Qiao, Aman Muhammad, Muhammad Muzzammil, Muhammad Shoaib Khan, Muhammad Owais Tariq, Muhammad Shahbaz Khan
Summary: This paper discusses the challenges in deploying and localizing wireless sensor networks in underwater and underground environments, and presents a multilateration localization algorithm based on received signal strength indicator (RSSI) to address this issue.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Jianlian Zhu, Xiujuan Du, Duoliang Han, Lijuan Wang, Meiju Li
Summary: This paper discusses the challenges of data transmission and routing protocol design in underwater sensor networks. By proposing the LEER protocol, the issues of route failure, long delay, and high energy consumption caused by greedy routing can be addressed. The LEER protocol improves the delivery rate and reduces the end-to-end delay by extracting and updating layer information to avoid routing packets to void areas.
MOBILE NETWORKS & APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Muhammad Ismail, Hamza Qadir, Farrukh Aslam Khan, Sadeeq Jan, Zahid Wadud, Ali Kashif Bashir
Summary: Underwater Wireless Sensor Networks (UWSNs) are a significant research area due to their unique characteristics and applications. Designing routing protocols for UWSNs is challenging due to limited battery power and other factors. This paper proposes a SHEEP routing protocol to enhance the efficiency of existing protocols, and simulation results show improvements in energy efficiency and packet delivery ratio compared to EBER2 by 7.4% and 13% respectively.
COMPUTER COMMUNICATIONS
(2023)
Article
Chemistry, Analytical
Jitander Kumar Pabani, Miguel-Angel Luque-Nieto, Waheeduddin Hyder, Alfonso Ariza
Summary: The use of underwater sensor networks (UWSNs) offers great advantages in many underwater observation services, but also faces various limitations. This paper proposes a routing technique that can adapt to changes in the network topology, utilizing fuzzy analytical hierarchical process (FAHP) and multi-criteria decision making (MCDM) to achieve intelligent routing decisions. Experimental results show that this technique behaves similarly to other fuzzy-based routing schemes.
Article
Computer Science, Information Systems
Yuan Zhou, Tao Cao, Wei Xiang
Summary: This article proposes a Q-learning-based localization-free anypath routing (QLFR) protocol for UWSNs, aiming to prolong the network lifetime and reduce end-to-end delay. The protocol calculates Q-values to determine optimal routing policies by considering residual energy and depth information of sensor nodes. By defining reward functions and designing a holding time mechanism based on priority, the protocol shows superior performance in terms of end-to-end delay and network lifetime through mathematical analyses and simulation results.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Chao Wang, Xiaohong Shen, Haiyan Wang, Hongwei Zhang, Haodi Mei
Summary: This article proposes a reinforcement learning-based opportunistic routing protocol (DROR) to address the issue of void regions in underwater wireless sensor networks (UWSNs). The protocol combines reinforcement learning (RL) with opportunistic routing (OR) to ensure real-time performance and energy efficiency considering limited energy and the underwater environment. It includes a void recovery mechanism and a relative Q-based dynamic scheduling strategy to enable reliable transmission and efficient forwarding along the global optimal routing path.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Monika Chaudhary, Nitin Goyal, Abderrahim Benslimane, Lalit Kumar Awasthi, Ayed Alwadain, Aman Singh
Summary: The development of underwater wireless sensor networks (UWSNs) has attracted researchers' interest to detect and monitor unfamiliar underwater domains. Real-time data transmission through efficient technologies is crucial. The Internet of Things (IoT) and the Internet of Underwater Things (IoUT) offer potential in underwater communication for various applications such as intelligent boats, catastrophe forecasting, and security. This article emphasizes enabling technologies of UWSN, node deployment strategies, advanced data collection techniques, and the analysis of existing data collection protocols using simulations.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Chemistry, Analytical
Rogaia Mhemed, William Phillips, Frank Comeau, Nauman Aslam
Summary: One of the biggest challenges in underwater wireless sensor networks is the occurrence of communication void areas. Opportunistic routing has proven to be effective in improving network performance and several protocols have been proposed to address void areas. Our paper focuses on reviewing these protocols and discussing their strengths and weaknesses.
Article
Chemistry, Analytical
Muhammad Fahad Khan, Muqaddas Bibi, Farhan Aadil, Jong-Weon Lee
Summary: In this paper, an adaptive node clustering technique for UWSNs using a dragonfly optimization algorithm is proposed to optimize routing and network lifespan. Results show that the DFO algorithm outperforms other algorithms by producing a higher number of optimized clusters.
Article
Computer Science, Information Systems
Na Xia, Yin Wang, Bin Chen, Huazheng Du, Chaonong Xu, Rong Zheng
Summary: This article addresses the problems of network connectivity and high deployment costs in existing underwater sensor network node deployment schemes. It presents an optimization model that maximizes network coverage and minimizes deployment costs while ensuring full connectivity. An improved moth flame optimization algorithm based on fuzzy operators (IMFO2-O-2) is proposed to solve the NP-hard problem. The algorithm improves network coverage and connectivity rates compared to other existing schemes.
ACM TRANSACTIONS ON SENSOR NETWORKS
(2023)
Article
Computer Science, Information Systems
Saad A. Al-Ahmadi
Summary: Underwater mines pose a significant threat to aquatic life, submarines, and naval activities. Deploying underwater acoustic sensor networks can provide an efficient solution, but energy consumption is a concern. This study proposes an energy-efficient mine detection solution based on clustering, achieving high accuracy.
Article
Chemistry, Analytical
Rogaia Mhemed, Frank Comeau, William Phillips, Nauman Aslam
Summary: EEDOR-VA is an energy-efficient routing protocol that utilizes depth and void avoidance to select forwarding sets, preventing void/trapped nodes from participating in data transmission, thereby saving network resources and reducing data transmission costs. Extensive simulation study shows that EEDOR-VA outperforms other protocols in terms of packet delivery ratio and energy consumption.
Article
Engineering, Electrical & Electronic
Juan Chang, Xiaohong Shen, Weigang Bai, Xiangxiang Li
Summary: In this paper, a high-energy-efficient barrier coverage strategy based on nodes alliance is proposed for intrusion detection in underwater sensor networks. By optimizing the virtual sensor quantity, this strategy achieves high detection probability and low energy consumption simultaneously.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Ye Chen, Zhigang Jin, Qinyi Zeng, Qiuling Yang
Summary: Underwater sensor networks (UWSNs) have gained significant interest due to their effective monitoring capabilities in submerged environments. However, the limitations of underwater acoustic channels, including long delays and high error rates, pose challenges for the media access control (MAC) protocol. To address these issues, a MAC protocol with time synchronization and power control (TSPC) is proposed. The integration of TSPC with layered concepts and distributed clustering algorithms effectively reduces energy consumption and prevents communication collisions.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Qiuling Yang, Yanxia Chen, Wei Dong, Tian Li, Rongxin Zhu, Xiangdang Huang
Summary: This article proposes a cluster-based ST medium access control (MAC) scheduling protocol (CSS-MAC) to solve the problem of spatial-temporal (ST) uncertainty in underwater wireless sensor networks (UWSNs). The protocol defines the cluster head coefficient and proposes an algorithm to determine interference nodes. It also introduces a new algorithm to create the ST conflict graph (ST-CG) and a distributed transmission moment allocation algorithm. Simulation results show that CSS-MAC outperforms other protocols in terms of throughput.
IEEE SENSORS JOURNAL
(2023)
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)
