Article
Computer Science, Information Systems
Omar Sami Oubbati, Abderrahmane Lakas, Pascal Lorenz, Mohammed Atiquzzaman, Abbas Jamalipour
Summary: This study investigates the use of communicating UAVs for real-time monitoring and intervention in urban emergency situations, providing locations and shortest intervention paths. A robust routing scheme is designed to ensure communication stability and energy consumption balance.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Chemistry, Analytical
Imtiaz Mahmud, You-Ze Cho
Summary: An energy-efficient routing protocol (LECAR) is proposed to balance packet delivery ratio and energy consumption in UAV networks. LECAR utilizes a mobility model and neighboring UAV buffer occupancy to improve packet transmission efficiency.
Article
Geosciences, Multidisciplinary
Sean Grogan, Nathalie Perrier, Michel Gamache, Robert Pellerin
Summary: This article presents a method to preposition UAV damage assessment and search teams in Oklahoma using historical data. The results show the importance of considering the chance of teams not being able to respond and the impact of station failure on the number of stations needed.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Computer Science, Artificial Intelligence
M. Ashok Kumar, K. Saravanan
Summary: Multicasting reduces transmission costs by sending data packets from a node to a group of receiver nodes simultaneously. Energy conservation is crucial for sensor networks' long-term viability, as they have limited and non-replenishable energy supplies. Clustering is a popular method for extending network lifetime by integrating information at the cluster head. This paper introduces a High Power Node (HPN) multicasting approach that embeds sink node data in packet headers to enable multicast packet data transfer via the shortest paths, achieving enhanced efficiency and low energy consumption compared to previous methodologies.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Computer Science, Information Systems
Tiziana Calamoneri, Federico Coro, Simona Mancini
Summary: This paper addresses the problem of using a fleet of UAVs to direct earthquake rescue teams quickly and effectively. By considering cooperation between UAVs and real-life issues, the paper proposes a solution to optimize the coordination and flight of UAVs through mathematical modeling and heuristics, resulting in improved rescue speed and efficacy.
Article
Remote Sensing
Agustin Bernier-Vega, Kyle Barton, Isaac Olson, Juan Rodriguez, Genesis Cantu, Selahattin Ozcelik
Summary: Precision agriculture technology has advanced rapidly, but the majority of US farmers do not use it due to high costs, lack of connectivity, and complex setup. This project aimed to create a low-cost, energy-efficient data collection system using a UAV as a mobile sink node. Custom sensor nodes and a drone-mounted wireless receiver were designed and manufactured. The system successfully collected soil data and has potential applications, with room for expansion and improvement.
Article
Engineering, Civil
Nouman Bashir, Saadi Boudjit, Gabriel Dauphin
Summary: This study proposes a connectivity-aware path planning scheme for a fleet of UAVs in an urban environment, which ensures continuous backhaul connectivity through graph-based offline path planning and fleet line formation. This scheme provides collision-free trajectories and allows additional UAVs or ground users to join the network.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Abdullah Alghamdi, Ali M. Al Shahrani, Sultan Sughair AlYami, Ihtiram Raza Khan, P. S. G. Aruna Sri, Papiya Dutta, Ali Rizwan, Prashanth Venkatareddy
Summary: Due to recent advancements in electronics technology, wireless sensor networks (WSNs) can now utilize a vast array of tiny sensors. WSNs are considered problematic networks because of their operating environments and reliant technology. The SPAR-SSO protocol provides security services, reduces power consumption and delay, and optimizes packet delivery ratio by using a unique cryptosystem, connection quality estimation, and power aware routing.
Article
Multidisciplinary Sciences
Khaled H. Almotairi
Summary: A proposed study introduces a multipath transmission scheme based on a node disjoint algorithm in a delay-tolerant network concept for vehicular communication. The scheme categorizes video frames based on priority and forwards them through two graded paths. The study also incorporates a communication cost function to select an optimal relay vehicle, improving the existing multipath data forwarding strategy. Simulation outcomes show that the proposed scheme enhances video data delivery in terms of packet loss ratio, end-to-end delay, structural similarity index measure, and peak signal-to-noise ratio.
Article
Computer Science, Hardware & Architecture
Goran Jausevac, Dalibor Dobrilovic, Vladimir Brtka, Gordana Jotanovic, Dragan Perakovic, Zeljko Stojanov
Summary: This paper discusses the possible application of UAVs in recognizing improperly parked vehicles. It uses fleets of drones with different roles to address this issue. Through a case study and the use of algorithms, drone trajectories are determined while accuracy is improved through the use of synthesized training sets and object detection algorithms. Additionally, the paper describes the architecture of the Smart UAV Monitoring System and tests its functionality in real conditions.
MOBILE NETWORKS & APPLICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Radzki Grzegorz, Bocewicz Grzegorz, Dybala Bogdan, Banaszak Zbigniew
Summary: The study focuses on the route planning of a UAV fleet for delivering to multiple customers in a dynamic environment, proposing a predictive and reactive delivery mission planning model, which has been validated through experiments for its practicality.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Jun Dai, Qunpeng Hu, Xu Liu, Yonglong Zhang, Junwu Zhu
Summary: As COVID-19 restricts movement and causes supply shortages in locked-down areas, unmanned aerial vehicle (UAV) deliveries have become a common solution. To improve cooperation efficiency and extend the lifespan of UAVs, a cluster head selection algorithm (CHSA) based on game theory is proposed. This algorithm uses a mixed game model to select cluster heads and reduces energy consumption between nodes.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Dian Meng, Yang Xiao, Zhiwei Guo, Alireza Jolfaei, Lanxia Qin, Xinting Lu, Qiao Xiang
Summary: This paper proposes a data-driven intelligent planning model for UAVs-RN under MIoT, involving analysis of multi-source data and establishment of a multi-objective planning model. Through experiments and case studies, the effectiveness and practicality of the approach are validated.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Youssra Cheriguene, Fatima Zohra Bousbaa, Chaker Abdelaziz Kerrache, Soumia Djellikh, Nasreddine Lagraa, Mohamed Lahby, Abderrahmane Lakas
Summary: This paper investigates the multicast routing problem in a swarm of UAVs, proposing an energy efficient inter-UAV multicast routing protocol called COCOMA. Extensive simulations show that COCOMA and its improved version COCOMA+ achieve higher efficiency and effectiveness compared to existing technologies, reducing energy consumption and increasing data transmission rate.
Article
Computer Science, Artificial Intelligence
Asad Ali, Anjum Naveed, Muhammad Zeeshan
Summary: Simultaneous Escape Routing (SER) refers to escaping circuit pins simultaneously from inside two or more pin arrays. Existing studies have not addressed this issue, highlighting the need for automated routing algorithms to tackle this difficult task. The proposed algorithm outperforms existing state-of-the-art algorithms in terms of routability and time consumption, achieving 99.9% routability and independence of grid topology and component pin arrangement.
PEERJ COMPUTER SCIENCE
(2021)
Article
Computer Science, Information Systems
Muna Al-Hawawreh, Nour Moustafa
Summary: Cyber-physical control loops are crucial in the industrial Internet of Things, but vulnerable to attacks. This study proposes an AI-based attack intelligence framework for identifying and extracting attack intelligence, and demonstrates its effectiveness using a real-world case.
Article
Computer Science, Information Systems
Youcef Azzoug, Abdelmadjid Boukra
Summary: This paper presents a novel JBR routing protocol based on swarm-inspired optimization to reduce data packet loss and introduces a concept of route stability to predict the stability degree of road segments.
Article
Computer Science, Information Systems
Paulo Cesar Prandel, Priscila Solis Barreto
Summary: This study proposes two stateful techniques, LGFS-C and LGFS-C-peak, which optimize AoI metrics by making conditional preemption decisions on packets based on system state variables. Experimental results show that both techniques achieve better optimization results than the state-of-the-art techniques and may improve CPS performance.
Article
Computer Science, Information Systems
Michele Girolami, Davide La Rosa, Paolo Barsocchi
Summary: In this work, a CrowdSensing-based proximity detection technique for visitors in an indoor museum is proposed and investigated. The technique utilizes data collected from users' smartphones, which can collect and upload Received Signal Strength (RSS) values of nearby Bluetooth tags to a backend server along with context-information. Experimental results show a clear improvement in performance when data from the crowd are exploited with the proposed architecture.
Review
Computer Science, Information Systems
Nazli Tekin, Ahmet Aris, Abbas Acar, Selcuk Uluagac, Vehbi Cagri Gungor
Summary: This paper provides a review of existing studies on energy consumption of on-device machine learning models for IoT applications. It introduces a taxonomy to define approaches for energy-aware on-device ML models and discusses open issues for further research in this field.
Article
Computer Science, Information Systems
Yangyang Li, Lei Feng, Yang Yang, Wenjing Li
Summary: This study investigates a task offloading scheme and trajectory optimization in a multi-UAV-assisted system and proposes a heterogeneous multi-agent reinforcement learning-based approach. By training with generated environment states offline, the algorithm's performance is optimized, resulting in superior energy consumption and task latency.
Article
Computer Science, Information Systems
Xinrong Zhang, Ye-Hwa Chen, Dongsheng Zhang, Ruiying Zhao, Lei Guo
Summary: This paper proposes a game-theoretic method based on constraint following theory to enhance the control resilience of cyber-physical systems. It addresses the uncertainties, mechanical constraints, and cyberattacks that these systems may encounter. Experimental results demonstrate the resilience of the controlled system against cyberattack disturbances and other threat attacks, and simulations verify the superiority of the optimal control design parameter.
Article
Computer Science, Information Systems
Shahaf Yamin, Haim H. Permuter
Summary: This study examines the problem of downlink wireless routing in integrated access backhaul (IAB) networks and proposes a multi-agent reinforcement learning algorithm for joint routing optimization. Experimental results demonstrate the effectiveness of the algorithm in achieving near-centralized performance.
Article
Computer Science, Information Systems
Phuong T. Tran, Le Thi Thanh Huyen, Ba Cao Nguyen, Huu Minh Nguyen, Tran Manh Hoang
Summary: This paper introduces and investigates a system utilizing an unmanned aerial vehicle (UAV) to assist terrestrial backscattering devices (BDs) in wireless energy charging and data transmission. The study considers energy efficiency (EE) and age-of-information (AoI) in performance assessment, and solves an optimization problem to maximize EE and minimize transmit power. Analytical and simulation results show that optimizing packet length and UAV altitude can achieve the best performance.
Article
Computer Science, Information Systems
Mohammed Aissaoui, Chiraz Houaidia, Adrien Van Den Bossche, Thierry Val, Leila Azouz Saidane
Summary: This paper proposes a distributed MAC protocol that supports PNC in static multi-hop wireless networks. The protocol's advantages over conventional CSMA/CA and PNCOPP MAC protocols are demonstrated through practical testing and numerical results.
Article
Computer Science, Information Systems
Mohamed Selim Korium, Mohamed Saber, Alexander Beattie, Arun Narayanan, Subham Sahoo, Pedro H. J. Nardelli
Summary: This paper presents a novel framework for intrusion detection in the Internet of Vehicles environment, specifically designed to detect cyberattacks on vehicles. The proposed system uses machine learning to detect abnormal behavior by analyzing network traffic. Experimental results demonstrate the effectiveness of the system in terms of accuracy and speed.
Article
Computer Science, Information Systems
Xue Li, Xiaojuan Chen, Guohua Li
Summary: This study proposes a two-tier cooperative edge network model for Power Internet of Things (PIoT) and introduces a fairness indicator based on the Theil index. By formulating a fairness and delay guaranteed task offloading and load balancing optimization problem, the research demonstrates that cooperation at the edge can significantly improve the performance of PIoT.
Article
Computer Science, Information Systems
Kun Yang, Peng Sun, Dingkang Yang, Jieyu Lin, Azzedine Boukerche, Liang Song
Summary: The focus of this research is to effectively coordinate the limited computing power of various components in intelligent transportation systems (ITS) and provide reliable support for resource-intensive applications through efficient resource allocation methods in the highly dynamic Internet-of-Vehicles environment. A novel joint computing and communication resource scheduling method is proposed, which includes a hierarchical three-layer Vehicular Edge Computing (VEC) framework and onboard joint computation offloading and transmission scheduling policy. Extensive simulation tests and ablation experiments demonstrate the effectiveness and stability of the proposed method in achieving stable performance and reducing scheduling overhead, improving resource utilization, and minimizing data transmission delay caused by vehicle motion.
Article
Computer Science, Information Systems
Rakesh Das, Jitendra Nath Bera
Summary: This paper focuses on the development of a highly reliable customized home area networking (HAN) to provide a robust communication network for smart home owners. The proposed HAN utilizes a multi-gateway-based partial mesh networking topology with ZigBee control boards to enable remote monitoring and control of individual appliances within the home. The introduction of active and pseudo gateway concept enhances the reliability of the HAN by automatically reconfiguring in case of failure. Experimental verification demonstrates the fail-proof and reliable nature of the proposed HAN with alternate routes and activation of pseudo gateway as active gateway.
Article
Computer Science, Information Systems
Changhao Li, Huanjing Li, Tao Wu, Lei Yan, Suzhi Cao
Summary: The maximum flow problem based on a contact graph in Delay-Tolerant Networking (DTN) is important for routing and data planning. Existing algorithms cannot be directly applied to topological networks with time series changes. This paper proposes a method of dismantling and reconstructing the graph to solve the maximum flow problem in a continuously changing network. The method discretizes time on different nodes to reduce the scale of the graph, optimizing data transmission, improving data delivery rate, and reducing link occupation.