Article
Computer Science, Information Systems
Oumaima Liouane, Smain Femmam, Toufik Bakir, Abdessalem Ben Abdelali
Summary: In wireless sensor networks, event detection is a major user requirement, and determining the position of nodes is crucial. The commonly used localization algorithm, DV-Hop, relies on a set of reference nodes to assist in localization. This paper proposes a probabilistic model for multi-hop distance estimation and introduces an online DV-Hop localization algorithm. The effectiveness of the proposed methods is validated through path planning and simulation results.
TSINGHUA SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Yanju Feng, Xiuling Zhang, Riheng Jia, Feilong Lin, Jianfeng Lu, Zhonglong Zheng, Minglu Li
Summary: Energy harvesting technology enables wireless sensor networks to sustain themselves by maintaining long-term key performance indicators. This article presents a reinforcement learning methodology for long-term data collection in self-sustainable WSNs. The methodology considers the 2-D region of the WSN, where a mobile sensor harvests energy and transmits data to a fixed sink. By using model-free RL, the article shows that the sensor can optimize its trajectory and achieve maximized long-term data throughput.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Cong Peng, Min Luo, Pandi Vijayakumar, Debiao He, Omar Said, Amr Tolba
Summary: This study proposes a multifunctional and multidimensional secure data aggregation scheme to address security issues and functional requirements in wireless sensor networks. The scheme encodes multidimensional data into large integers using the Chinese remainder theorem conversion method and supports data analysis with various aggregation functions. Experimental results show that the scheme has lower computation and communication costs compared to existing schemes in high-dimensional scenarios.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Chuang Liu, Hongwei Du
Summary: This article discusses the coverage issues in the Internet of Things and introduces a new sweep coverage method to improve data availability. By introducing the concept of k-coverage and proposing the t, K-sweep coverage problem, an algorithm named 2-partition sweep coverage (2-PSC) is presented to achieve minimum number of required mobile sensor nodes. Simulation results show that the proposed algorithm outperforms existing algorithms in terms of efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Multidisciplinary Sciences
Muhammad Talha Rahim, Awais Khan, Uman Khalid, Junaid ur Rehman, Haejoon Jung, Hyundong Shin
Summary: Quantum secure metrology protocols utilize quantum effects to achieve enhanced precision and security in probing remote systems. This paper proposes a QSM scheme that employs Bell pairs for unconditional security and offers precision scaling beyond the standard quantum limit. The comparative analysis demonstrates the superiority of the controlled encoding strategy over the parallel encoding of multi-partite entangled states in terms of parameter secrecy. Additionally, a trade-off relationship between maximum achievable precision and security under limited resource availability is identified and characterized. The dynamic scalability of the proposed protocol makes it suitable for large-scale network sensing scenarios.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Theory & Methods
Rekha Goyat, Gulshan Kumar, Mamoun Alazab, Rahul Saha, Reji Thomas, Mritunjay Kumar Rai
Summary: This paper discusses the challenge of localization in wireless sensor networks and provides a trust-based framework for secure localization. The solution focuses on trust assessment algorithms and blockchain generation, ensuring reliable and consistent trust values through a two-step approach of selecting high-trust beacon nodes. Performance and effectiveness of the proposed algorithm are validated through simulations, showing superior results in various aspects compared to other algorithms.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Automation & Control Systems
Hamid Mahboubi, Stephane Blouin, Amir G. G. Aghdam
Summary: Efficient algorithms are developed in this work to increase the coverage area of a network of mobile sensors. The sensors are divided into k sets and the algorithms aim to iteratively increase the area covered by at least k sensors. K-means clustering technique is used to partition the sensors into sets due to its impact on the algorithms' performance. Simulation results confirm the effectiveness of the proposed algorithms, as well as the improvement in energy consumption, covered area, and convergence time achieved through the use of K-means clustering technique.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Bhargavi Dande, Chih-Yung Chang, Chin-Hwa Kuo, Diptendu Sinha Roy
Summary: The article proposes an efficient-energy recharging schedule to maximize data accuracy in wireless rechargeable sensor networks. By considering spatial quality contributions, energy management strategies, and adaptive recharging request thresholds, the proposed algorithm outperforms existing literature in terms of data accuracy and sensor spatial quality contributions.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Ning Xie, Yicong Chen, Zhuoyuan Li, Dapeng Oliver Wu
Summary: This paper proposes a lightweight and secure ToA-based localization scheme in a WSN by exploiting the noise feature caused by external distance attacks. Compared to prior schemes, this scheme shows better performance in terms of communication overhead and security. Experimental results demonstrate a communication overhead saving of 72.8% with this proposed scheme.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Review
Computer Science, Hardware & Architecture
Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Hamid Barati, Ali Barati, Ali Movaghar, Mehdi Hosseinzadeh
Summary: This paper introduces secure data aggregation schemes in wireless sensor networks, categorizes them based on various criteria, aiming to help researchers design secure and efficient data aggregation methods. Familiarity with new techniques and challenges in this field can guide future research directions.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Munesh Singh, Sourav Kumar Bhoi, Sanjaya Kumar Panda
Summary: Mobile beacon-based localization schemes in wireless sensor networks face challenges such as increased communication overhead and uneven coverage. To address these issues, a geometric least square curve fitting method (GLSCFL) is proposed for better localization accuracy, showing promising results compared to other geometric schemes.
Article
Computer Science, Interdisciplinary Applications
Usman Ahmad
Summary: This paper proposes a solution to secure IoT nodes against multiple attacks, using machine learning models to evaluate the trustworthiness of sensor data and a pairing algorithm. The proposed system achieves high accuracy and significantly faster training and testing time compared to existing solutions.
JOURNAL OF COMPUTATIONAL SCIENCE
(2022)
Article
Computer Science, Information Systems
Sujun Li, Boqing Zhou, Qinqin Hu, Jianxin Wang, Jingguo Dai, Weiping Wang, Huiyong Yuan, Yun Cheng, Jie Wu
Summary: The article proposes a one-way associated key management model that has better adaptability in multiphase sensor networks, dynamically adjusting the number of keys allocated based on different deployment errors to improve network performance stability. Analysis and simulation indicate that this scheme outperforms related schemes in applications where deployment error changes.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Anastassia Gharib, Mohamed Ibnkahla
Summary: This article proposes a node embedding with security resource allocation (NESRA) clustering algorithm for mobile ICWSNs, allocating security resources to sensor nodes in three steps to achieve efficient ICWSN operation, data security, and timely data access to mobile users.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
Qinghua Luo, Chao Liu, Xiaozhen Yan, Yang Shao, Kexin Yang, Chenxu Wang, Zhiquan Zhou
Summary: In this paper, a distributed localization method based on anchor nodes selection and particle filter optimization is proposed. By selecting optimally anchor nodes in real-time during the movement of mobile nodes, the method achieves optimal localization results. Experimental evaluation verifies that the proposed method effectively improves the localization accuracy and the robustness of the distributed system.
Article
Computer Science, Information Systems
Mingliang Chen, Qiang Zhu, Min Wu, Quanzeng Wang
Summary: This paper introduces an AM-FM model for characterizing PPG signals and proposes an efficient algorithm for estimating heart rate and respiratory rate. Experimental results demonstrate the effectiveness of the proposed algorithm even under relatively noisy scenarios.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Computer Science, Information Systems
Sai Deepika Regani, Chenshu Wu, Beibei Wang, Min Wu, K. J. Ray Liu
Summary: This article introduces mmWrite, a high-precision passive handwriting tracking system using millimeter-wave radio technology, which can achieve millimeter accuracy in tracking handwriting with a coverage area of up to 8 square meters. By leveraging signal processing and hardware optimization, mmWrite can accurately track finger/pen movements, suitable for new applications in human-computer interactions and other fields.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Theory & Methods
Mingliang Chen, Xin Liao, Min Wu
Summary: Recent studies have shown that physiological signals such as heart beat and breathing can be remotely captured from human faces using a regular color camera. This paper develops PulseEdit, an algorithm that can edit the physiological signals in facial videos without affecting visual appearance in order to protect user privacy.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2022)
Article
Computer Science, Information Systems
Qiang Zhu, Xin Tian, Chau-Wai Wong, Min Wu
Summary: This article studies the relation between ECG and PPG signals from affordable wearable IoT devices for mobile health, proposing a method to predict ECG waveforms accurately from PPG signals. Experimental results demonstrate high prediction accuracy and the potential for low-cost ECG screening using this method.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Xin Tian, Chau-Wai Wong, Sushant M. Ranadive, Min Wu
Summary: Blood oxygen saturation is an important indicator for pulmonary and respiratory functionalities. Clinical findings on COVID-19 show that many patients had dangerously low blood oxygen levels not long before conditions worsened. In this paper, the authors propose a noncontact method for SpO(2) monitoring using hand videos acquired by smartphones. By utilizing the RGB color channels of smartphone cameras and designing adaptive narrow bandpass filters based on accurately estimated heart rate, the proposed method achieves better blood oxygen estimation performance compared to traditional methods.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao
Summary: This paper proposes a method to predict bone mineral density (BMD) from chest X-ray, which shows a strong correlation with the gold standard DXA measurement and achieves high classification performance for osteoporosis screening.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Computer Science, Information Systems
Joshua Mathew, Xin Tian, Chau-Wai Wong, Simon Ho, Donald K. Milton, Min Wu
Summary: Peripheral blood oxygen saturation (SpO(2)) is an important indicator of respiratory functionality, especially during the COVID-19 pandemic. This paper proposes a noncontact SpO(2) estimation scheme using smartphone cameras, which allows for convenient and private monitoring of individuals without the need for contact. The proposed models outperform existing contact-based methods and show potential for contributing to public health.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Information Systems
Xin Tian, Qiang Zhu, Yuenan Li, Min Wu
Summary: The research direction of inferring clinical ECG from PPG, measured by wearable IoHT devices, is gaining attention. The combination of easily measurable PPG and rich clinical ECG knowledge allows for continuous cardiac monitoring. Two dictionary learning frameworks, XDJDL and LC-XDJDL, are designed to improve ECG inference quality and enrich PPG-based diagnosis knowledge. By optimizing signal dictionaries for PPG and ECG, the proposed frameworks achieve better inference performance than previous methods, with average Pearson coefficients of 0.88 for XDJDL and 0.92 for LC-XDJDL. This suggests potential for ECG screening using PPG and contributes to personalized healthcare through dynamic monitoring and analysis.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Acoustics
Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang, Min Wu, K. J. Ray Liu
Summary: This paper proposes a system for audio-radio speech enhancement and separation that improves speech intelligibility and perceptual quality by fusing radio modality. It utilizes millimeter-wave sensing and audioradio deep learning framework to detect and localize speakers and enhance noisy mixture speeches.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2023)
Article
Computer Science, Information Systems
Zachary Mcbride Lazri, Qiang Zhu, Mingliang Chen, Min Wu, Quanzeng Wang
Summary: This paper introduces a unique system that can automatically detect the locations of the inner canthi and outer nostril edges in thermal images. Through two phases of processing and detection, the system is able to accurately locate facial features and extract vital physiological indicators. The experimental results demonstrate that the system achieves high accuracy and reliability in thermal image analysis.
Article
Computer Science, Theory & Methods
Jisoo Choi, Chau-Wai Wong, Adi Hajj-AlunadO, Min Wa, Yanpin Ren
Summary: This paper presents the use of the electric network frequency (ENF) signal to provide time-location information for images, overcoming the challenge of extracting ENF traces from a single image. An entropy minimization method is proposed to create an ENF presence-classification test for region-of-capturing localization.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao
Summary: Accurate vertebra localization and identification are crucial in spine disorder diagnosis and surgery planning, but face challenges due to varying pathologies and imaging conditions. This paper proposes a robust method utilizing anatomical knowledge to facilitate vertebra localization, achieving a state-of-the-art identification rate of 97.4% on highly pathological CT images. The method outperforms competitors by halving the relative identification error rate.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021
(2021)
Article
Computer Science, Information Systems
Feng Zhang, Chenshu Wu, Beibei Wang, Min Wu, Daniel Bugos, Hangfang Zhang, K. J. Ray Liu
Summary: SMARS is the first practical sleep monitoring system that uses ambient radio signals to recognize sleep stages and assess sleep quality. It implements a statistical model and commercial WiFi chipsets to achieve highly accurate and instantaneous breathing estimation, as well as recognition of different sleep stages, with a sleep staging accuracy of 88 percent.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Theory & Methods
Qiang Zhu, Mingliang Chen, Chau-Wai Wong, Min Wu
Summary: In the field of information forensics, the proposed Adaptive Multi-Trace Carving (AMTC) algorithm is designed to detect and track subtle frequency components under very low signal-to-noise ratio conditions in near real-time. The algorithm utilizes time-frequency representations of the system's preprocessing results and employs iterative dynamic programming and adaptive trace compensation to identify frequency components.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Mingliang Chen, Min Wu
CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE (UAI 2020)
(2020)
