Article
Computer Science, Hardware & Architecture
Abuu B. Kihero, Haji M. Furqan, M. M. Sahin, Huseyin Arslan
Summary: Security is a critical requirement for future wireless networks, and physical layer security utilizes random wireless channel features to protect communication information and processes. Future wireless networks will offer more channel features for physical layer security to meet new use case demands.
IEEE WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Jorge F. Schmidt, Daniel Neuhold, Christian Bettstetter, Jirka Klaue, Dominic Schupke
Summary: The aerospace industry is increasingly adopting wireless solutions for on-board communications to improve flight safety, reduce costs, and minimize environmental impact. However, challenges such as security, coexistence, and power sustainability need to be addressed. Ultra-wideband (UWB) technology is seen as a promising implementation path for intra-aircraft communications, offering a unique trade-off between power consumption and data rate. Experimental results from deploying off-the-shelf UWB transceivers in an Airbus A319 support the discussion and highlight the challenges ahead.
Article
Computer Science, Hardware & Architecture
Bo Yang, Xuelin Cao, Kai Xiong, Chau Yuen, Yong Liang Guan, Supeng Leng, Lijun Qian, Zhu Han
Summary: This paper proposes a two-tier edge intelligence-empowered autonomous driving framework, aiming to achieve more reliable and safer autonomous driving by providing AVs with machine learning and close multi-access edge computing. Experimental results demonstrate the effectiveness of the proposed framework.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Saikat Mondal, Yihang Chu, Mark Cuddihy, Ali Attaran, Mahrnoud Yousef Ghannam, Premjeet Chahal
Summary: This paper proposes a hybrid RFID tag and reader system for wireless and batteryless automotive sensors. The system can significantly reduce the effective on-time of the reader and its feasibility is validated through experiments.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Zhanserik Nurlan, Tamara Zhukabayeva, Mohamed Othman, Aigul Adamova, Nurkhat Zhakiyev
Summary: This article explores the existing methods of interconnecting wireless sensor networks (WSN) and wireless mesh networks (WMN), providing an analytical basis for their relationship. Through definitions, case studies, and challenges, it aims to attract community attention and inspire further research in this field.
Review
Engineering, Electrical & Electronic
Muhammad Ali Jamshed, Kamran Ali, Qammer H. Abbasi, Muhammad Ali Imran, Masood Ur-Rehman
Summary: This survey provides a comprehensive overview of wireless sensor nodes, including their historical and architectural background, as well as an in-depth analysis of their design and system performance measurement. It also discusses the need for wireless sensor networks, their deployment and communication protocols, and explores the challenges and limitations faced by these nodes in different environments and during the manufacturing process. The survey concludes with an overview of existing developments expected to enhance wireless sensor nodes to meet the requirements of emerging systems.
IEEE SENSORS JOURNAL
(2022)
Review
Computer Science, Information Systems
Jinxin Liu, Michele Nogueira, Johan Fernandes, Burak Kantarci
Summary: This article provides a systematic investigation and comprehensive review of the application of adversarial machine learning in wireless and mobile systems. The impact of adversarial samples on wireless and mobile networks is discussed, along with the methods for generating and detecting such samples. The article also highlights the open issues and challenges faced in this field, as well as research opportunities for AI-driven wireless and mobile networking.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Computer Science, Information Systems
Minghui Dai, Ning Huang, Yuan Wu, Jie Gao, Zhou Su
Summary: The rapid development of communication and computing techniques has enabled unmanned aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and computing services. UAV-assisted wireless networks have been seen as a promising paradigm to achieve enhanced coverage and connectivity for future wireless communications. Improving energy efficiency, sensing, communication, computing capacities, and security and privacy are critical to the success of UAV-assisted wireless networks. This article provides a comprehensive survey of the developments, including architecture, challenges, solutions, and potential research directions.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Computer Science, Information Systems
Pangun Park, Piergiuseppe Di Marco, Junghyo Nah, Carlo Fischione
Summary: WAIC has the potential to greatly improve efficiency and flexibility in the aeronautics industry, but it also presents specific challenges and requirements that make it a complex area of research. Current research focuses on data transfer rates and transceiver installation locations, with future directions aiming at addressing these technical challenges.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Bushra Qureshi, Sammah Abdel Aziz, Xingfu Wang, Ammar Hawbani, Saeed Hamood Alsamhi, Taiyaba Qureshi, Abdulbary Naji
Summary: This paper provides a detailed overview of wireless rechargeable sensor networks, covering their development, charging schemes, optimization techniques, and security threats. It also summarizes and describes relevant papers from the past decade.
Article
Computer Science, Information Systems
Sonam Lata, Shabana Mehfuz, Shabana Urooj
Summary: This paper analyzes the security threats faced by WSN and IoT, and proposes corresponding prevention strategies, aiming to build a secure IoT expansion and enhance understanding of attack details. In addition, the paper also classifies existing attacks and threats to deepen the understanding of the issues.
Article
Engineering, Electrical & Electronic
Guanghua Liu
Summary: The research introduces the concept of MI-WPUSN, integrating MI communication techniques and wireless power transfer mechanisms to provide high network reliability potential with challenging data collection. A systematic research roadmap is outlined for data collection, spanning from sensor deployment to frequency-selective routing establishment.
IEEE COMMUNICATIONS MAGAZINE
(2021)
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)
Article
Computer Science, Information Systems
Yulong Liu, Mengxia Yu, Bingyi Xia, Silong Wang, Miao Wang, Mingxun Chen, Siqi Dai, Tingzhe Wang, Terry Tao Ye
Summary: The article introduces a textile-based embroidered passive strain and displacement sensor functioned as a UHF RFID antenna, which can modulate RFID chip signals and wirelessly retrieve information from a few meters away without the need for a battery. The sensor is sensitive to strains and displacement caused by body movement, making it ideal for tracking various forms of body movements.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Riccardo Colella, Maria Rosaria Tumolo, Saverio Sabina, Carlo Giacomo Leo, Pierpaolo Mincarone, Roberto Guarino, Luca Catarinucci
Summary: This paper presents the design and development of a Battery Assisted Passive RFID tag integrated with IMU sensors for biomechanical analysis of human body movements. The system effectively captures and reproduces real movements, demonstrating its suitability for wireless movement capture applications.
IEEE SENSORS JOURNAL
(2021)
Article
Telecommunications
Yazan Otoum, Dandan Liu, Amiya Nayak
Summary: The Internet of Things (IoT) is made up of devices connected through wired or wireless networks, and security is a critical issue. To address this, we propose a new deep learning-based intrusion detection system that can detect security threats in IoT environments more accurately.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Yazan Otoum, Amiya Nayak
Summary: The proposed AS-IDS model combines anomaly-based and signature-based approaches to detect known and unknown attacks in IoT networks. The model consists of three phases: traffic filtering, preprocessing, and hybrid IDS, with various methods used to process incoming traffic and classify attacks.
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Qi Li, Amiya Nayak, Xiaoxiang Wang, Dongyu Wang, F. Richard Yu
Summary: This paper studies a collaborative caching-transmission method in cache-enabled terahertz (THz) heterogeneous networks to mitigate the impact of the dramatic growth of wireless video traffic. A novel scalable video coding (SVC)-based two-tier cooperative caching strategy and a hierarchical hybrid transmission scheme are proposed. Simulation results demonstrate that the proposed method can achieve quasi-optimal performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Editorial Material
Computer Science, Hardware & Architecture
Rohit Sharma, Danda B. Rawat, Amiya Nayak, Sheng-Lung Peng, Qin Xin
Article
Engineering, Electrical & Electronic
Qi Li, Amiya Nayak, Yibo Zhang, F. Richard Yu
Summary: In this paper, a cooperative recharging-transmission strategy is proposed for the powered UAV-aided terahertz (THz) downlink networks, to address the limited energy issue of UAVs for long-term seamless coverage. A UAV-to-user THz sub-band association scheme is proposed for THz frequency transmission to eliminate interference, and the minimum requirements of the wireless charging window and THz-transmitting window are derived. An alternating optimization solution is proposed to jointly optimize UAV placement and UAV-to-user THz sub-band association. The simulation results validate the solution and demonstrate the quasi-optimal performance of the proposed strategy compared with other contrasting strategies.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Jiacheng Hou, Haoye Lu, Amiya Nayak
Summary: In this study, we propose a graph neural network-gain maximization (GNN-GM) cache placement algorithm to improve user experience through caching in Named Data Networks (NDNs). By using a GNN model to predict users' ratings of unviewed videos and considering the total predicted rating as the gain of the cached video, we optimize cache placement to maximize caching gain. The experimental results show that our caching policy significantly improves cache hit ratio, latency, and server load.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Jiacheng Hou, Tianhao Tao, Haoye Lu, Amiya Nayak
Summary: Information-centric networking (ICN) has gained significant attention for its in-network caching and named-based routing capabilities. This paper focuses on enhancing cache performance in SDN-ICN by maximizing the cache hit ratio. A statistical model is proposed to generate user content preferences, and a GNN-DDQN agent is introduced to make caching decisions based on user request history, achieving a 34.42% higher cache hit ratio than the state-of-the-art policy and outperforming benchmark strategies.
Proceedings Paper
Computer Science, Information Systems
Zhun Ge, Jiacheng Hou, Amiya Nayak
Summary: Accurately predicting end-to-end delay is essential in the networking field. This paper proposes a GNN-based STGCN model to predict delay in SDN, outperforming baseline methods and other machine learning techniques. Our GNN-based methodology achieves significantly lower RMSE compared to the baseline predictor, MLR, XGBOOST, and RF.
2023 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, ICOIN
(2023)
Proceedings Paper
Computer Science, Information Systems
Raudel Ravelo Suarez, Amiya Nayak
Summary: One of the challenging issues in wireless sensor networks is neighbor discovery, due to the combination of limited power, short duty cycle, and high mobility. The two categories of discovery designs currently used are pairwise-based and group-based. However, these designs have limitations in terms of practicality and discovery delay. This paper proposes an enhanced neighbor discovery protocol (THL2H-Ex) that outperforms its counterparts, as shown in simulation results.
2023 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, ICOIN
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Guangzhi Zhao, Zhipeng Zhou, Yutao Huang, Amiya Nayak, Wei Gong, Haoquan Zhou
Summary: This paper proposes a novel system that combines active learning with WiFi-based Human Activity Recognition (HAR) to build a good activity recognizer with limited labeled training samples. The experimental results show that the system achieves high recognition accuracy with a small number of training samples.
2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC
(2023)
Proceedings Paper
Computer Science, Information Systems
Yazan Otoum, Sai Krishna Yadlapalli, Amiya Nayak
Summary: This paper proposes a model that combines federated and transfer learning techniques to secure IoT networks with reduced training time and enhanced privacy protection. The results show that the proposed technique improves performance and decreases training time compared to traditional machine learning techniques.
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022)
(2022)
Proceedings Paper
Telecommunications
Maoran Jiang, Yunyun Feng, Amiya Nayak, Wei Gong
Summary: This paper presents BonusBlue, a BLE backscatter system that enables high-goodput communication with commercial BLE devices. By modulating data on excitation signals and using a state machine to establish data connection, this system can achieve a stable data connection with commodity BLE devices and achieve high goodput.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
Proceedings Paper
Telecommunications
Ahmed Gad, Amiya Nayak
Summary: This paper proposes a new adaptive high-fidelity image compression solution using a generative adversarial network. The algorithm achieves high compression ratio with the least distortion and utilizes arithmetic coding to reduce the bit rate. Experimental results demonstrate that this method achieves the highest quality output with the lowest bit rate.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
Article
Computer Science, Information Systems
Jiacheng Hou, Huanzhang Xia, Haoye Lu, Amiya Nayak
Summary: This paper proposes a GNN-based caching strategy to optimize the caching performance in NDN. It uses a CNN to extract time-series features and applies GNN to make content caching probability predictions. Cache replacement decisions are made based on the content caching probability ranking. Experimental results show that the GNN-based approach achieves higher cache hit ratio and lower latency compared to other deep learning-based caching strategies.
Proceedings Paper
Computer Science, Hardware & Architecture
Zhun Ge, Jiacheng Hou, Amiya Nayak
Summary: This paper highlights the importance of predicting latency in software-defined networks and proposes a graph-based model, STGCN, for predicting end-to-end packet delay. Compared to other machine learning methods, STGCN demonstrates superior performance under complex network conditions.
18TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2022)
(2022)
