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.
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
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
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
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
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
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
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
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.
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
Engineering, Electrical & Electronic
Saikat Majumder
Summary: This article addresses the problem of one-bit spectrum sensing in cognitive radio networks and proposes a GKFCM clustering-based algorithm for detecting primary user signals in white and correlated noise. By identifying conserved features in the quantization process and clustering decision vectors, the proposed algorithm improves detection performance.
PHYSICAL COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Xuefeng Chen, Rui Ma
Summary: This paper proposes a UAV-enabled MEC network to optimize transmission delay, computation delay, and system energy consumption, and achieves the optimal solution through an intelligent optimization algorithm based on Deep Dueling Double Q-Network and Twin Delayed Deep Deterministic Policy Gradient.
PHYSICAL COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Purabi Sharma, Kandarpa Kumar Sarma
Summary: Electronic Warfare (EW) is becoming increasingly important with the proliferation of radio frequency (RF) systems and radar applications. This paper proposes an automatic approach based on continuous wavelet transform and a combination of convolutional neural network, multi-head self-attention mechanism, and long short-term memory for recognizing different types of pulse repetition interval modulation. The proposed method enhances performance and achieves robustness in noise-filled and imperfect channel knowledge environment.
PHYSICAL COMMUNICATION
(2024)
Article
Computer Science, Information Systems
Shideh Yavary Mehr, Byrav Ramamurthy
Summary: This paper focuses on the issue of link failures in optical networks and proposes an improved recovery strategy by combining resource delayed release (RDR) with protection strategies. Four different protection methods are evaluated, and it is found that the PPP method performs the best in terms of reducing blocking probability, bandwidth blocking probability, and service provisioning time when utilizing RDR.
OPTICAL SWITCHING AND NETWORKING
(2024)
Article
Engineering, Electrical & Electronic
Mohamed Zerouali, Mohamed Djendi
Summary: This paper proposes a new multichannel fast normalized least mean square (MC-FNLMS) algorithm for audio teleconferencing systems. The algorithm improves multichannel adaptive noise reduction by introducing a first order prediction process on the input signals. Compared with existing algorithms, the proposed algorithm demonstrates faster convergence speed, better noise reduction performance, and lower computational complexity.
PHYSICAL COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Chidera Linda Anioke, Chibuzo Joseph Nnonyelu
Summary: In this paper, the joint and marginal probability densities of multipaths' angles-of-arrival (AOA) and times-of-arrival (TOA) at the cellular base station are derived. A novel assumption is made where scatterers are assumed to be located in an elliptical region instead of a circular region to better model the elliptical footprint around the mobile station. The proposed model shows a better fit to empirical AOA data compared to existing models.
PHYSICAL COMMUNICATION
(2024)
Article
Computer Science, Information Systems
Sumana Maiti, Sudip Misra, Ayan Mondal
Summary: The broadcast proxy re-encryption methods extend traditional proxy re-encryption mechanisms and propose a scheme called MBP for IoT applications. MBP calculates a single re-encryption key for all user groups and uses multi-channel broadcast encryption to reduce security element size. However, it increases computation time for receiver IoT devices. The use of Rubinstein-Stahl bargaining game approach addresses this issue and MBP is secure against selective group chosen-ciphertext attack in the random oracle model.
COMPUTER COMMUNICATIONS
(2024)
