Article
Mathematics, Interdisciplinary Applications
Fan Chao, Zhiqin He, Renkuan Feng, Xiao Wang, Xiangping Chen, Changqi Li, Ying Yang
Summary: This paper presents a novel strategy to reduce the latency of mobile data gathering in a WSN while optimizing the routing strategies and tour planning of the mobile sink (MS). The issue of network coverage is discussed first, followed by calculating the appropriate number of clusters. A tour planning of the MS based on prediction is proposed to minimize the traveling distance for data collection. The proposed method is simulated in MATLAB and validated through physical tests on a test rig based on an unmanned aerial vehicle (UAV).
Article
Engineering, Electrical & Electronic
Tian Liang, Yongsheng Pan, Yuandan Dong
Summary: In this letter, a multimode antenna for adaptive spacedivision multiple access (SDMA) application is proposed. The antenna combines a monopole-like radiator and a multimode resonant cavity into a compact structure. By independently controlling the amplitudes of three orthogonal modes through three ports in the cavity, the antenna pattern can continuously scan across 360 degrees in the H-plane by adjusting the excitation power ratio and phase at the ports. This controlling scheme facilitates both analog and digital beamforming, making it suitable for base station SDMA scenarios. The simulation and measurement results demonstrate the antenna's excellent scanning performance, making it a promising choice for high throughput wireless communication systems, especially miniaturized Internet of Things base station applications.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Qun Chen, Lin Bai, Chong He, Ronghong Jin
Summary: The study focused on the performance analysis and experimental verification of the time-modulated array (TMA)-based space-division multiple access (SDMA) approach, proposing a novel harmonic selection method and verifying its advantages through numerical results compared to traditional systems.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Automation & Control Systems
Xuxun Liu, Tian Wang, Weijia Jia, Anfeng Liu, Kaikai Chi
Summary: The article proposes a quick convex hull-based rendezvous planning scheme to improve the performance of wireless sensor networks. This scheme aims to achieve full connectivity for disjoint WSNs, construct a shorter trip tour, and minimize the data delivery latency. The benefits of this new scheme include being designed for disjoint WSNs, suitable for delay-harsh applications, and having lower computational complexity compared to existing methods.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Vishnuvarthan Rajagopal, Bhanumathi Velusamy, Muralitharan Krishnan, Sakthivel Rathinasamy
Summary: Due to the increasing world population, demand for food products have created the need to modernize and intensify agricultural operations through precision agriculture. This paper proposes an efficient data collection algorithm that improves the network lifetime of the wireless sensor network (WSN), decreases the energy hole issue, and reduces the data collection delay.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Morteza Biabani, Nasser Yazdani, Hossein Fotouhi
Summary: This research presents a data gathering method using a mobile sink in wireless sensor networks. By constructing grid cells and employing rate adaptation strategies, it efficiently collects data from sensors, reducing energy consumption and latency.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Naween Kumar, D. Reddy Edla, Dinesh Dash, Gandharba Swain, T. N. Shankar
Summary: In path-constrained multi-hop sensor networks, maximizing data collection with minimal energy consumption is critical. This paper proposes a novel efficient heuristic method that computes a set of discrete sub-paths based on the start and end distance points of nearby sensor nodes. It uses network flow graphs to schedule and optimize data transmission, selecting the sub-path that returns maximum data with minimum energy consumption.
Article
Engineering, Electrical & Electronic
Zhilin Lu, Bing Fan, Jinqi Cai, Liangrui Tang
Summary: This paper proposes a joint routing and charging algorithm (J-RCA) with WCE assisted data gathering, using an improved TOPSIS method to balance node energy consumption, and presenting a two-step charging scheme. Simulation results demonstrate that the algorithm has advantages in prolonging network lifetime and improving transmission reliability.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Ahmed M. Khedr, Zaher Al Aghbari, P. V. Pravija Raj
Summary: In this paper, an Enhanced Sparrow Search based Adaptive and Robust Data Gathering Scheme for WSNs (ESRP-MP) is proposed to improve the performance and reduce data gathering latency in wireless sensor networks. By optimizing the selection of Rendezvous Points (RPs) and path planning, this scheme achieves significant improvements in terms of number of RPs, data gathering time, energy utilization, and network lifetime.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Rupayan Das, Dinesh Dash
Summary: In this article, an efficient on-demand partial data gathering and charging (DGAC) scheme using multiple mobile vehicles with limited batteries is proposed. The scheme optimizes the entire DGAC process using a multi-objective genetic algorithm, reducing the dead periods of sensors and overall data gathering delay. Simulation results demonstrate the usefulness and competitiveness of the proposed scheme, with statistical significance verified using ANOVA. Comparative analysis shows that the proposed work improves DGAC efficiency by reducing sensor dead periods, data gathering delay, and energy consumption of mobile vehicles compared to existing works.
COMPUTER COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Zidong Wu, Linglong Dai
Summary: Spatial division multiple access (SDMA) is essential for improving spectrum efficiency in multi-user MIMO communications. However, the traditional SDMA heavily relies on angular orthogonality in the far field and fails to fully utilize spatial resources in the distance domain. In this paper, we propose location division multiple access (LDMA) to enhance spectrum efficiency by exploiting extra spatial resources in the near field. The LDMA approach leverages near-field beam focusing and provides a codebook design method for LDMA communications using a uniform planar array.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Chatchai Punriboon, Chakchai So-In, Phet Aimtongkham, Nutthanon Leelathakul
Summary: The study proposes a method for designing paths for mobile sinks to collect data, determining rendezvous points, and specifying the next hop for sensor nodes to relay data. Ensuring mobile sinks run through each rendezvous point's communication range within a given time constraint without depleting their energy is key.
Article
Computer Science, Hardware & Architecture
Louiza Belkhiri-Brahmi, Samira Yessad, Fouzi Semchedine
Summary: In this research, a lightweight congestion control based sink mobility solution is proposed to improve data gathering in Wireless Sensor Networks. The solution considers both energy and memory constraints, and addresses the issue of buffer saturation causing nodes to not receive new messages. By moving the sink closer to congested nodes, the proposed mechanism alleviates queues and improves network lifetime, packet delivery ratio, and adaptability to increased data traffic.
JOURNAL OF SUPERCOMPUTING
(2023)
Review
Chemistry, Analytical
Omer Gurewitz, Mark Shifrin, Efi Dvir
Summary: This paper highlights the significance and challenges of data gathering in wireless sensor networks and IoT networks, pointing out the shortcomings of existing solutions and suggesting directions for future developments.
Article
Multidisciplinary Sciences
Jun Chen Ke, Xiangyu Chen, Wankai Tang, Ming Zheng Chen, Lei Zhang, Li Wang, Jun Yan Dai, Jin Yang, Jun Wei Zhang, Lijie Wu, Qiang Cheng, Shi Jin, Tie Jun Cui
Summary: A new-architecture space-frequency-polarization-division multiplexed wireless communication system is proposed using an anisotropic space-time-coding digital metasurface, which can improve the channel capacity and space utilization.
NATIONAL SCIENCE REVIEW
(2022)
Article
Computer Science, Information Systems
Tong Liu, Shenggang Ni, Xiaoqiang Li, Yanmin Zhu, Linghe Kong, Yuanyuan Yang
Summary: Due to the emergence of computation-intensive intelligent applications, edge computing has been proposed to satisfy the low-latency requirements. Services need to be placed in advance on edge nodes to process heterogenous computation tasks, considering the limited storage space and computation resources. This joint service placement and computation resource allocation problem is complicated, and a novel approach based on parameterized deep Q networks is proposed to minimize the total latency of tasks. Extensive simulations are conducted to evaluate the performance of the proposed approach.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Hui Cai, Fan Ye, Yuanyuan Yang, Yanmin Zhu, Jie Li, Fu Xiao
Summary: This paper investigates the trading and pricing of multiple correlated queries on private web browsing history data. The proposed CTRADE framework includes a modified matrix mechanism and an ellipsoid-based query pricing mechanism. Experimental results demonstrate that CTRADE achieves a good balance between error and privacy preferences and satisfies desired economic properties.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Haotian Wu, Zhe Peng, Songtao Guo, Yuanyuan Yang, Bin Xiao
Summary: This paper addresses the issues of efficiency and authenticity in data queries for blockchain systems. It proposes a Verifiable Query Layer (VQL) deployed in the cloud to provide efficient and verifiable data query services. A middleware layer is used to extract and reorganize data from the blockchain system, while preventing falsified data through cryptographic fingerprinting. The authenticity of the databases can be verified by miners and public users. Experimental results demonstrate the effectiveness of VQL in supporting various data query services and ensuring query result authenticity.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2022)
Article
Computer Science, Software Engineering
Shufang Xia, Songtao Guo, Zhong Qu, Yuanyuan Yang
Summary: This paper proposes an effective coarse-to-fine deghosting method combining registration and matching, which can effectively remove ghost artifacts in high dynamic range imaging.
Article
Computer Science, Information Systems
Yangfei Lin, Jie Li, Shigetomo Kimura, Yuanyuan Yang, Yusheng Ji, Yangjie Cao
Summary: The applications of IoT have had a significant impact on various aspects of people's lives, creating a large volume of data. To ensure the integrity of cloud-stored data, a consortium blockchain-based public integrity verification system is proposed, in which the behaviors of third-party auditors are recorded on the blockchain for auditing purposes.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Weihong Yang, Yang Qin, Yuanyuan Yang
Summary: This article analyzes the influence of CCN's multicast nature on malicious spread, proposes a multicast-based model, and discusses optimal strategies for epidemic control and immunization. Simulation results demonstrate the effectiveness of targeted immunization in reducing infection rates.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang
Summary: This paper investigates incentive mechanisms in the sharing economy by considering systems with different levels of difficulty, proposing two incentivizing strategies and deriving their utility ratios. The problem is further extended to a generalized k-MAB problem, and a regret-minimizing mechanism is proposed.
IEEE TRANSACTIONS ON COMPUTERS
(2022)
Article
Computer Science, Information Systems
Tong Liu, Lu Fang, Yanmin Zhu, Weiqin Tong, Yuanyuan Yang
Summary: In this paper, an online task offloading and resource allocation approach is proposed for edge-cloud orchestrated computing. By leveraging the cooperation between edge computing and cloud computing, the approach aims to reduce the latency of computation tasks and minimize the average latency over time. The approach decomposes the problem into subproblems using Lyapunov optimization and duality theory, and can achieve near-optimal performance.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Yongmin Zhang, Cenchen Ji, Nan Qiao, Ju Ren, Yaoxue Zhang, Yuanyuan Yang
Summary: With the rapid growth of global mobile data traffic, Wi-Fi plays an increasingly important role in expanding network capacity. To overcome the geographical coverage limit of Wi-Fi APs, the crowdsourced wireless community network has emerged as a cost-effcient way for providing Internet access services. Therefore, a distributed pricing and bandwidth allocation scheme is proposed to maximize the profit of Wi-Fi providers and provide better Internet services to mobile users.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Yingling Mao, Xiaojun Shang, Yuanyuan Yang
Summary: This paper addresses the deployment problem of service function chain in network function virtualization (NFV) and proposes a two-stage scheme and dynamic segmental packing algorithm to efficiently solve it. In extensive simulations, the proposed scheme demonstrates outstanding performance compared to the optimal solutions and benchmark tests.
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Xiaojun Shang, Yaodong Huang, Yingling Mao, Zhenhua Liu, Yuanyuan Yang
Summary: The fast development of mobile edge computing and service virtualization brings new opportunities for deploying interactive applications at the network edge. However, existing mobile edge networks often fail to meet the quality of experience (QoE) requirements due to user mobility and network volatility. In this paper, a novel scheme is proposed to reduce delay and adjust data throughput rate for QoE enhancement by migrating virtual services and tuning their throughput rates based on real-time bandwidth fluctuation.
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Yiming Zeng, Jiarui Zhang, Ji Liu, Zhenhua Liu, Yuanyuan Yang
Summary: This paper investigates the quantum entanglement routing problem and proposes efficient routing algorithms through two sequential integer programming steps. The evaluation results demonstrate that the proposed approach outperforms existing solutions in terms of the number of served quantum-user pairs and the network expected throughput.
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Fei Chen, Jiahao Wang, Changkun Jiang, Tao Xiang, Yuanyuan Yang
Summary: This paper proposes a blockchain-based IoT data trading scheme to address the issues of credibility and real-time requirement. The scheme consists of a trading scheme and an arbitration scheme, utilizing divide-and-conquer approach and commitment methods for efficient trading, and resolving disputes through on-chain and off-line arbitration.
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2022)
(2022)
Proceedings Paper
Telecommunications
Yubin Zhou, Tong Liu, Yanmin Zhu, Honghao Gao, Yuanyuan Yang
Summary: This paper proposes a task offloading strategy for end users, considering both individual rationality and collective rationality. By reformulating the problem as a coalition formation game and introducing a decentralized decision-making algorithm, the conflicts between individual utility and collective utility are addressed.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
Proceedings Paper
Telecommunications
Xinghan Wang, Xiaoxiong Zhong, Yuanyuan Yang, Tingting Yang, Nan Cheng
Summary: This study proposes a cooperative federated learning framework called CFLMEC for mobile edge computing, which addresses the communication resource allocation issue and maximizes device throughput through optimization algorithms.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
