Article
Computer Science, Information Systems
Ahmed B. Altamimi
Summary: Intermittently Connected Networks (ICNs) are an important area for mobile wireless networks and have gained increasing attention in recent years. The main goals of ICN routing protocols are to maximize delivery probability and minimize delivery delay. However, node cooperation, which directly impacts ICN performance, is not guaranteed due to challenges in memory, computation, and energy efficiencies. This paper proposes a novel routing protocol called Mail Man Ferry (MMF) that ensures node cooperation through a node credit mechanism and outperforms previously proposed ICN protocols.
Article
Computer Science, Information Systems
Waqar Khalid, Naveed Ahmed, Suleman Khan, Zahid Ullah, Yasir Javed
Summary: VANETs enable vehicles to communicate with RSUs and other vehicles, contributing to improved traffic efficiency, accident safety, and entertainment services. However, intermittent connectivity poses limitations. To address this, ICV-DTNs, a subset of DTNs, have been proposed. Security is explored less compared to routing, with flood attacks causing low message delivery ratios and high message loss ratios. Previous algorithms lack efficiency in detection, lack demonstration of resource consumption, and lack a comprehensive definition of flood attacks. This article proposes a unique taxonomy, evaluates algorithms, and highlights open research areas for flooding attacks in ICV-DTNs.
Article
Computer Science, Hardware & Architecture
Mohammad Jahanian, K. K. Ramakrishnan
Summary: In intermittently-connected environments, achieving consistent dissemination is crucial. We propose the CoNICE framework, which improves efficiency and ensures consistent dissemination through the use of hierarchical namespaces and epidemic propagation. It provides three levels of consistency: replication, causality, and agreement.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2022)
Article
Computer Science, Information Systems
Tuan Le
Summary: Mobile devices can store, communicate, and disseminate large data files across networks, but it is challenging in Delay Tolerant Networks due to lack of connectivity and short contacts among nodes. Existing protocols are not suitable for the data-intensive mobile era, so a large data routing protocol is proposed to chop data into chunks for forwarding, achieving a higher delivery rate compared to other routing strategies.
COMPUTER COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yoshiaki Inoue, Tomotaka Kimura
Summary: This paper investigates the role of intermittently connected MANETs in providing post-disaster networking and conducts a mathematical analysis of information freshness. The study finds that the freshness of information for monitoring applications is crucial in network design, requiring a tradeoff between information freshness and energy consumption.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Tomotaka Kimura, Masahiro Fukuoka, Kouji Hirata, Masahiro Muraguchi
Summary: This paper introduces the concept of intermittently connected sensor networks and discusses the advantages in reducing packet collision probability and power consumption. The trade-off between activation rate and delivery delay is highlighted, and an energy-efficient network design with activation control methods is proposed to improve delay performance. Simulation experiments demonstrate the effectiveness of the activation control methods in enhancing the performance of intermittently connected sensor networks.
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING
(2021)
Article
Computer Science, Information Systems
Sami Ullah, Ghulam Abbas, Muhammad Waqas, Ziaul Haq Abbas, Abd Ullah Khan
Summary: In vehicular ad hoc networks, high mobility and high density are crucial factors affecting routing performance. By selecting relay vehicles and adjusting beacon intervals, a stable routing path can be established to improve the delivery ratio and reduce latency of emergency messages.
Article
Computer Science, Information Systems
Christopher John Lowe, Ruaridh Alexander Clark, Ciara Norah Mcgrath, Malcolm Macdonald
Summary: This paper introduces a method called Contact Graph Scheduling (CGS) for job scheduling and task allocation in satellite networks. The goal is to minimize latency and identify efficient pickup and delivery paths. Results show that CGS can increase the number of customer requests fulfilled while maintaining acceptable levels of delivery latency.
Article
Engineering, Electrical & Electronic
Chenchen Han, Haipeng Yao, Tianle Mai, Ni Zhang, Mohsen Guizani
Summary: Delay-tolerant network (DTN) is designed to operate effectively in networks with intermittent connectivity. This article introduces a social-based mechanism for DTN routing design and proposes a collaborative multi-agent reinforcement learning aided routing algorithm.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Review
Computer Science, Information Systems
Mafalda Goncalves Teixeira, Julio Ramirez Molina, Vasco N. G. J. Soares
Summary: The increase in data rates provided by free-space optical communications is crucial in today's data-driven society, especially in satellite and interplanetary networks. However, these optical links face challenges from atmospheric disruptions and orbital delays. In such scenarios, the Delay and Disruption Tolerant Networking (DTN) architecture comes into play, ensuring reliable connections without the need for direct links. This paper reviews the theoretical and state-of-the-art studies on FSO and DTN, highlighting the potential of utilizing these technologies to improve connectivity in optical wireless satellite networks.
Article
Computer Science, Information Systems
Waqar Khalid, Naveed Ahmad, Suleman Khan, Najam U. Saquib, Muhammad Arshad, Duri Shahwar
Summary: Delay/Disruption Tolerant Networks (DTNs) are a special category of Intermittently Connected Networks (ICNs) with specific features and face challenges in various research areas. In this article, the focus is on analyzing and mitigating fake-packet and selective-packet-drops attacks in DTNs. A novel algorithm using Merkle-Hash-Tree is proposed to detect and mitigate these attacks, which shows improved detection accuracy and reduces false-positive/false-negative rates. The algorithm accurately detects malicious nodes launching fake-packet and selective-packet-drops attacks, unlike previously proposed algorithms.
Article
Computer Science, Hardware & Architecture
Libing Wu, Shuqin Cao, Yanjiao Chen, Jianqun Cui, Yanan Chang
Summary: This paper investigates leveraging the social attributes of nodes in DTN to improve routing algorithms. It introduces a novel method for constructing social circles, and proposes a spray strategy and adaptive multiple spray-and-wait routing algorithm to enhance performance. Extensive simulations confirm the effectiveness of these proposed routing algorithms in DTN.
Article
Engineering, Electrical & Electronic
Michal Yemini, Stephanie Gil, Andrea J. Goldsmith
Summary: This article proposes a solution to a centralized detection problem where sensors experience noisy measurements and intermittent connectivity. The sensors collaborate locally within predefined clusters and fuse their data to reach a common local estimate of the detected event in each cluster. The fusion center then fuses the estimates from connected clusters to make a final determination. The proposed cloud-cluster architecture shows improved detection performance even with low communication probabilities.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Vassilis Demiroglou, Christos-Alexandros Sarros, Vassilis Tsaoussidis
Summary: This paper presents a gateway-oriented scheme that facilitates content retrieval from remote IoT deployments using mobile devices. The scheme, called NDN-over-DTN (NoD), combines the information-centric design of Named Data Networking (NDN) with the store-carry-and-forward approach of Delay/Disruption-Tolerant Networking (DTN). Through analytical modeling and experiments, the performance of NoD is evaluated and an improved version called NoDDiscovery is introduced. The results show that NoD can exploit the benefits of NDN and DTN, achieving significant performance gains in highly disruptive environments.
Article
Computer Science, Information Systems
Dalia I. Elewaily, Hesham A. Ali, Ahmed I. Saleh, Mohamed M. Abdelsalam
Summary: This article introduces the Disruption/Delay Tolerant Networking (DTNs) architecture for deep-space communication, which overcomes intermittent connectivity issues through store-carry-forward data transmission. It provides an overview of the current and future deep-space communication systems' architecture, environmental challenges, DTN implementations and demonstrations, and validation of related routing strategies. Additionally, it explores the integration of machine learning techniques into DTN routing strategies and discusses ongoing research directions and open issues in DTN-based Deep Space Networking.
Article
Thermodynamics
Tianyu He, Yue Cao, Fengqi Si
Summary: Compressed carbon dioxide energy storage (CCES) systems coupled with a combined heating and power (CHP) unit were analyzed for their impact on CHP unit performance. Thermodynamic modeling and analysis were used to evaluate the feasibility and superiority of the system. Multi-objective optimization was performed to obtain the optimal solution and performance criteria targets. Results showed improved performance with increased power efficiency, power change ratio, and energy storage density. The optimal condition achieved a higher round-trip efficiency, power efficiency, and power change ratio, as well as increased total exergy efficiency and energy storage density.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Genetics & Heredity
Ji Chen, Jiawen Yang, Kai Li, Qiang Ji, Xiaochao Kong, Sumei Xie, Wenxuan Zhan, Jiayi Wu, Shuainan Huang, Huijie Huang, Rong Li, Zhiwei Zhang, Yue Cao, Youjia Yu, Zhengsheng Mao, Yanfang Yu, Haiqin Lv, Yan Pu, Feng Chen, Peng Chen
Summary: Genotype imputation is a promising method in forensic applications, which allows for obtaining unknown genetic information through imputing known STR or SNP genotypes.
FORENSIC SCIENCE INTERNATIONAL-GENETICS
(2023)
Article
Optics
Lili Tang, Yue Cao, Weijie Shi, Jin Wang, Jiaqi Li, Zheng-Gao Dong
Summary: With the research on Pancharatnam-Berry phase, a bifunctional metasurface has been designed for modulating and transmitting both co- and cross-polarized lights.
Article
Nanoscience & Nanotechnology
Renchao Jin, Lin Deng, Lili Tang, Yue Cao, Yongmin Liu, Zheng-Gao Dong
Summary: A new phase modulation pathway based on chiral metasurfaces consisting of V-shaped plasmonic apertures is demonstrated, enabling fully decoupled phase modulation. This method expands the methods of phase engineering and can assist in designing novel devices for various applications.
Article
Computer Science, Information Systems
Fei Yan, Rushan Wu, Liqiang Zhang, Yue Cao
Summary: This study proposes a new dynamic analysis framework named SPIDER for fast detection of side-channel vulnerabilities in non-cryptographic programs. The results demonstrate that the use of this framework can effectively reduce the test suite and improve the accuracy of vulnerability detection.
TSINGHUA SCIENCE AND TECHNOLOGY
(2023)
Article
Construction & Building Technology
Muhammad Khalid, Liang Wang, Kezhi Wang, Nauman Aslam, Cunhua Pan, Yue Cao
Summary: In this paper, a framework for long-range autonomous valet parking is proposed to reduce congestion and improve user experience. The framework optimizes the path planning of an Autonomous Vehicle (AV) and the number of serving time slots to minimize the overall distance of the AV while ensuring great quality of experience for users.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Thermodynamics
Shuohan Liu, Yue Cao, Qiang Ni, Lexi Xu, Yongdong Zhu, Xin Zhang
Summary: Due to the increasing greenhouse effect, reducing greenhouse gas emissions has become more important. Electric Vehicles (EVs) are seen as the future mainstream transportation due to their lower carbon footprint. However, current charging modes cannot meet the increasing demands, thus a hybrid charging management scheme is proposed to ensure the Quality of Experience (QoE) by combining stable plug-in charging and flexible V2V charging. Charging cost is optimized by considering price, waiting time, and energy, and charging selection is optimized through charging reservation with accurate information. Simulation results demonstrate that the proposed scheme effectively utilizes both charging modes and improves QoE for EV charging.
Article
Chemistry, Multidisciplinary
Yue Cao, Lili Tang, Jiaqi Li, Chengkuo Lee, Zheng-Gao Dong
Summary: Image steganography based on intelligent devices is an effective way to transfer secret information safely and quickly. Optical image steganography, however, has received less attention compared to digital steganography due to the limitations in high-resolution optical imaging technology. Optical metasurfaces, made up of ultrathin subwavelength meta-atoms, are considered as competitive candidates for next-generation miniaturized devices. In this study, a strategy using multiplex imaging metasurfaces composed of single nanorods is proposed to achieve optical image steganography.
Article
Computer Science, Information Systems
Yujie Song, Kai Jiang, Yue Cao, Ruiting Zhou, Chakkaphong Suthaputchakun, Yuan Zhuang
Summary: Due to the dynamic nature of Vehicle Ad-hoc Networks (VANETs) caused by vehicle mobility, communication in the Internet of Vehicles (IoVs) faces challenges such as high mobility, limited bandwidth, and dynamic network topology. This paper proposes the Spatio-Temporal domain Autonomous Load Balancing (STALB) routing protocol to efficiently forward messages and alleviate network congestion in IoVs. STALB considers the local status of network relay devices and achieves significant improvements in end-to-end latency, overload ratio, and message delivery efficiency compared to other baseline methods.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2023)
Article
Thermodynamics
Wei Jin, Fengqi Si, Yue Cao, Cong Yu, Jiqiang Wang
Summary: Co-firing ammonia (NH3) with coal for thermal power generation is a promising strategy for achieving global carbon neutrality. This study investigates the ultra-low-load combustion characteristics of a 1050 MW coal-fired boiler employing NH3-coal co-firing technology. Numerical simulations of different combustion scenarios reveal the effects of NH3 co-firing ratio and air staging condition on temperature, gas species distributions, and emissions. Results show that increasing the NH3 co-firing ratio decreases the in-furnace average gas temperature and leads to an increase in NO emissions.
APPLIED THERMAL ENGINEERING
(2023)
Review
Green & Sustainable Science & Technology
Yue Cao, Sifan Li, Chenchen Lv, Di Wang, Hongjian Sun, Jing Jiang, Fanlin Meng, Lexi Xu, Xinzhou Cheng
Summary: Low-carbon transportation plays a crucial role in sustainable development, but its security is under threat. This review provides a comprehensive perspective on the security challenges and future directions of cyber security technologies in low-carbon transportation, including attack risk classification, defense technologies, and research directions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Computer Science, Information Systems
Xuan Wang, Yuan Zhuang, Xiaoxiang Cao, Qipeng Li, Zhe Wang, Yue Cao, Ruizhi Chen
Summary: This article proposes a novel untethered pseudo-odometry method, called SdoNet, based on a convolutional neural network, to address the need for precise vehicle positioning in Internet of Things (IoT) applications. SdoNet estimates vehicle velocity from raw inertial measurement unit (IMU) observations and incorporates various improvements to eliminate interference features. Experimental results demonstrate the robust and accurate velocity regression capability of SdoNet, especially in noisy IMU observations.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Xinyu Li, Yue Cao, Shaohua Wan, Shuohan Liu, Hai Lin, Yongdong Zhu
Summary: This article investigates the problem of service management based on battery heterogeneity in battery swapping technology. The offline optimization problem is theoretically analyzed using bipartite matching. An online framework is proposed to address the real-time operation and ensure fair charging. Simulation results demonstrate the satisfactory performance of the proposed scheme in balancing the demands of multiple participants.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Thermodynamics
Yue Cao, Jun Zhan, Boqing Jia, Ranjing Chen, Fengqi Si
Summary: This study has investigated a supercritical/transcritical carbon dioxide (CO2) hybrid waste heat recovery system with different operation strategies under part-load conditions of gas turbine exhaust. The results indicate that the mass flow rate has a greater effect on the net power of the system compared to the turbine inlet pressure and these two variables should be controlled cooperatively. Increasing the inlet valve opening of the supercritical CO2 turbine can enhance the net power of the system under a specific gas turbine load.
Proceedings Paper
Computer Science, Artificial Intelligence
Yue Cao, Junchi Bin, Jozsef Hamari, Erik Blasch, Zheng Liu
Summary: Multimodal object detection has been a popular research topic in recent years. In this paper, a novel lightweight fusion module called CSSA is proposed to efficiently fuse inputs from different modalities. Experimental results demonstrate its excellent performance in improving detection accuracy.
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW
(2023)
