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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Ouyang, Man Zhang, Ran Wang, Bingqing Liu, Jiang Zhuang, Weihua Bupt State Key Laboratory of Networking and Switching Technology Beijing100876 China Purple Mountain Laboratories Future Network Research Center Nanjing211111 China University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada

ISBN: (纸本)9798350351255

Low earth orbit (LEO) satellite networks can seamlessly supplement terrestrial networks by providing a high capacity, wide coverage, and cost-effective solution. Positioned to play a significant role in the upcoming 5G/6G era thanks to reduced launch expenses, LEO satellite networks offer benefits such as multi-path transmission, aggregated link bandwidth, redundant paths, and enhanced mobility support. These advantages necessitate further exploration in integrated satellite-terrestrial networks. In this work, we leverage network conditions, underlying link status, and real-time service characteristics to achieve effective synergy, aiming to fulfill application requirements. We formulate the service-oriented multi-path scheduling (SOMPS) problem as a bounded multi-knapsack problem and employ dynamic programming methods for its solution. Simulation results demonstrate that our proposed scheme provides high transmission rate, low latency, and customized information delivery for services, in comparison with baseline schemes. © 2024 IEEE.

关键词： Dynamic programming

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Dynamic and Private Recommendation System

Dynamic and Private Recommendation System

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Digital Applications, Transformation & Economy (ICDATE), International Conference on

作者： Gee Yen Lo Terence Peng Lian Tan Computer Systems and Networking Curtin University Malaysia Miri Malaysia Department of Electrical & Computer Engineering Curtin University Malaysia Miri Malaysia

The amount of data that we retrieve and use every day is increasing rapidly. As data naturally exist in different data domains, the number of data domains that we retrieve and use every day has also increased as a result. As different recommendation systems are needed for different data domains, more and more recommendation systems will need to be built. Furthermore, users will lose their privacy as many recommendation systems collect information about their users. This paper aims to solve the aforementioned issues by creating a recommendation system that will work with any data domain and upholds the privacy of its users. The Dynamic Implementation Of Privacy Based Recommendation System Application is created in this paper. The objective of this thesis is achieved as the Dynamic Implementation Of Privacy Based Recommendation System Application developed in this paper upholds the privacy of its users as it only stores users’ data in their device’s local database and the application has the ability to adapt to different data domains.

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CEER:Cooperative Energy-Efficient Routing Mechanism for Underwater Wireless Sensor Networks Using Clusters

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computer Systems Science & engineering 2023年第6期45卷 2587-2602页

作者： Sayyed Mudassar Shah Tariq Hussain Babar Shah Farman Ali Khalid Zaman Kyung-Sup Kwak Institute of Computer Science&Information Technology the University of Agriculture Peshawar25000Pakistan High Performance Computing and Networking Institute National Research Council(ICAR-CNR)Naples80131Italy College of Technological Innovation Zayed UniversityDubai19282UAE Department of Software Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Inha UniversityIncheon22212Korea

Underwater acoustic sensor networks(UWASNs)aim to find varied offshore ocean monitoring and exploration *** most of these applications,the network is composed of several sensor nodes deployed at different depths in the *** nodes located at depth on the seafloor cannot invariably communicate with nodes close to the surface level;these nodes need multihop communication facilitated by a suitable routing *** this research work,a Cluster-based Cooperative Energy Efficient Routing(CEER)mechanism for UWSNs is proposed to overcome the shortcomings of the Co-UWSN and LEACH *** optimal role of clustering and cooperation provides load balancing and improves the network *** simulation results using MATLAB show better performance of CEER routing protocol in terms of various parameters as compared to Co-UWSN routing protocol,i.e.,the average end-to-end delay of CEER was 17.39,Co-UWSN was 55.819 and LEACH was *** addition,the average total energy consumption of CEER was 9.273,Co-UWSN was 12.198,and LEACH was *** packet delivery ratio of CEER was 53.955,CO-UWSN was 42.047,and LEACH was *** stability period CEER was 130.9,CO-UWSN was 129.3,and LEACH was *** obtained results maximized the lifetime and improved the overall performance of the CEER routing protocol.

关键词： Cluster head co-UWSN UWSN relay LEACH CEER

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Secure Recursive State Estimation of Networked Systems Against Eavesdropping: A Partial-Encryption-Decryption Method

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IEEE Transactions on Automatic Control 2024年第6期70卷 3681-3694页

作者： Zou, Lei Wang, Zidong Shen, Bo Dong, Hongli Donghua University College of Information Science and Technology Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education Shanghai201620 China Brunel University London Department of Computer Science UxbridgeUB8 3PH United Kingdom Northeast Petroleum University Artificial Intelligence Energy Research Institute Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Daqing163318 China

This paper addresses the problem of secure recursive state estimation for a networked linear system, which may be vulnerable to interception of transmitted measurement data by eavesdroppers. To effectively protect information security, an encryption-decryption-based communication scheme can be used, but encrypting all the measurement data from sensors can result in significant computational costs. To address this issue, a partial-encryption-decryption (PED) mechanism is proposed to enhance information security with relatively low computational costs. In this mechanism, only part of the transmitted measurement signals are encrypted, and the remaining signals are transmitted directly to the estimator. A Jordan-canonical-form-based approach is developed to select the appropriate parameter for the PED mechanism, and recursive formulas for the state estimator are designed based on the principle of minimum mean squared error. Sufficient conditions are derived to guarantee the ultimate boundedness of the estimation error variance matrix. Finally, the proposed PED-based recursive state estimation scheme is evaluated through two simulation examples to demonstrate its effectiveness. © 1963-2012 IEEE.

关键词： Mean square error

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Joint Optimization for Cooperative Service-Caching, Computation-Offloading, and Resource-Allocations Over EH/MEC 6G Ultra-Dense Mobile Networks

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IEEE Transactions on Wireless Communications 2025年

作者： Chen, Zhian Wang, Fei Zhang, Xi Southwest University College of Electronic and Information Engineering Chongqing400715 China Texas A&M University Networking and Information Systems Laboratory Department of Electrical and Computer Engineering College StationTX77843 United States

Service-caching, computation-offloading, and mobile edge-computing (MEC) have been widely recognized as three key 6G wireless technologies which can efficiently support implementing the ultra-dense networks (UDNs) with massive small-cell base stations (SBSs). But, these impose the new challenges for the UDNs to solely rely on grid power for energy supplying and to jointly optimize service-caching, computation-offloading, and resource-allocations. To overcome the above described difficulties, integrating energy-harvesting (EH) techniques with MEC-enabled 6G UDNs, we propose to develop the joint optimization schemes for cooperative service-caching, computation-offloading, and resource-allocations. In our considered UDNs, there exist a large number of EH-based stationary users (SUs) or mobile users (MUs), and a mixture of on-grid SBSs powered by electric grid and off-grid SBSs power-supplied by solar, radio frequency (RF) energy, etc. Specifically, first we formulate an energy minimization problem under a non-linear RF-energy EH model to minimize the sum of weighted energy consumption of users and off-grid SBSs. Second, for scenarios with SUs, we develop a two-timescale based joint cooperative service-caching, computation-offloading, and resource-allocations scheme using the hierarchical multi-agent deep reinforcement learning. We derive cooperative service-caching in each time frame, and then derive computation-offloading and resource-allocations in each time slot. Third, we extend our work to scenarios with MUs, where MUs can move with certain trajectories at low speeds. Finally, we validate and evaluate the performances of our proposed schemes through the extensive simulations. © 2002-2012 IEEE.

关键词： Energy utilization

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On the Performance of Joint Resource Allocation and Control in Industrial IoT

On the Performance of Joint Resource Allocation and Control ...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Wang, Ying Wu, Shaohua Jiao, Jian Zhang, Ning Zhang, Qinyu The Department of Electronics and Information Engineering Shenzhen518055 China The Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology Shenzhen518055 China Peng Cheng Laboratory Shenzhen518055 China University of Windsor Department of Electrical and Computer Engineering WindsorONN9B 3P4 Canada

ISBN: (纸本)9798350345384

In this paper, a wireless networked control system with a local controller and remote controller is investigated. The observed states can be controlled directly by the local controller or controlled by the remote controller via an unreliable channel. In this scenario, we focus on a more realistic problem that the network might be faced with, that is, the lifespan of the network. However, this issue has received little attention. The lifespan of the network is considered in two-folds: 1) a stochastic sample and transmission scheme is adopted to reduce the power consumption and 2) the transmit power is optimized to guarantee the total transmission power limitation. In order to balance the control performance and the network lifespan, an optimization problem on communication and control co-design is formulated. In particular, we aim to jointly optimize the resource allocation and local/remote controls by minimizing the linear quadratic regulation (LQR) control cost under the constraints of transmit power and transmission probability. The results of the considered optimization problem show that there exists an optimal transmit power and the corresponding transmission probability that can minimize the control cost function. Numerical results are further provided to verify the theoretical analysis. © 2023 IEEE.

关键词： Resource allocation

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Achievable Rate Analysis and Optimization of Double-RIS Assisted Spatially Correlated MIMO with Statistical CSI

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China Communications 2025年第1期22卷 139-157页

作者： Xu Kaizhe Guo Jiajia Zhang Jun Jin Shi Ma Shaodan Department of Communications and Networking Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China State Key Laboratory of Internet of Things for Smart City University of MacaoMacao SARChina Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing 210003China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering University of MacaoMacao SARChina

Reconfigurable intelligent surface(RIS)is a novel meta-material which can form a smart radio environment by dynamically altering reflection directions of the impinging electromagnetic *** the prior literature,the inter-RIS links which also contribute to the performance of the whole system are usually neglected when multiple RISs are *** this paper we investigate a general double-RIS assisted multiple-input multiple-output(MIMO)wireless communication system under spatially correlated non line-of-sight propagation channels,where the cooperation of the double RISs is also *** design objective is to maximize the achievable ergodic rate based on full statistical channel state information(CSI).Specifically,we firstly present a closedform asymptotic expression for the achievable ergodic rate by utilizing replica method from statistical *** a full statistical CSI-enabled optimal design is proposed which avoids high pilot training overhead compared to instantaneous CSI-enabled *** further reduce the signal processing overhead and lower the complexity for practical realization,a common-phase scheme is proposed to design the double *** results show that the derived asymptotic ergodic rate is quite accurate even for small-sized antenna *** the proposed optimization algorithm can achieve substantial gain at the expense of a low overhead and ***,the cooperative double-RIS assisted MIMO framework is proven to achieve superior ergodic rate performance and high communication reliability under harsh propagation environment.

关键词： common reflection pattern double RISs large system analysis MIMO replica method

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LiDAR Spoofing Attack Detection in Autonomous Vehicles

LiDAR Spoofing Attack Detection in Autonomous Vehicles

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2022 IEEE International Conference on Consumer Electronics, ICCE 2022

作者： Alheeti, Khattab M. Ali Alzahrani, Abdulkareem Al Dosary, Duaa College of Computer and Information Technology University of Anbar Computer Networking Systems Dept. Ramadi Iraq Albaha University Faculty of Computer Science and Information Technology Computer Engineering and Science Department Albaha Saudi Arabia College of Computer Sciences and Information Technology University of Anbar Ramadi Iraq

ISBN: (纸本)9781665441544

Detecting 3D objects is a core task for autonomous vehicles (AVs), as it allows them to drive safely and responsibly. To detect objects quickly and accurately, AVs have LiDAR sensors, which can capture 3D data from 360° in various conditions, including harsh weather. However, LiDAR sensors may face a spoofing attack via laser satirizing. This type of attack does not require physical contact with the sensors nor does it need to change them. It can mislead AVs by providing them with false information, which can then put passengers, pedestrians, and other vehicles in danger. Therefore, this paper proposes a model utilizing machine learning (i.e., decision trees) to protect AVs from such attacks. The performance of the proposed model indicates that it can detect LiDAR spoofing attacks. © 2022 IEEE.

关键词： Autonomous vehicles

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IoT Based Environmental Monitoring System using LSTM-WAO-EEMD 2

IoT Based Environmental Monitoring System using LSTM-WAO-EEM...

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2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Babu, Uppara Raghu Sharma, Neelam Kumar, K Senthil Madhukar, Deshmukh Deepak Sonawane, Pavankumar Ravindra Nishant, Neerav Srinivasa Ramanujan Institute of Technology Civil Engineering Department Andhra Pradesh Ananthapuramu India Lovely Professional University Department of Physical Education Punjab India Srm Institute of Science and Technology School of Computing College of Engineering and Technology Department of Networking and Communications Tamil Nadu Chennai India Pravara Rural Engineering Collage Loni Mechanical Engineering Maharashtra India JSPM's Rajarshi Shahu College of Engineering Tathawade Mechanical Engineering Department Pune India Babu Banarasi das University School of Engineering Department of Computer Science and Engineering Uttar Pradesh Lucknow India

ISBN: (纸本)9798350325799

In this proposed approach, the system takes a look at the environmental monitoring systems that are based on the Internet of Things. The suggested system's primary function is to supply remote locations with environmental parameters via the internet. The proposed method is a practical and easy way to monitor the surrounding environment and atmosphere. The system is a representation of ambient and environmental parameter monitoring by use of low-power wireless sensors linked to the Internet that report their readings to a centralized server. Finally, data collected from all over the world may be seen on the base station remotely from any Internet-connected device. From the physical level, with its sensors and communication protocol, to the cyber level, with its data management and storage, this work comprises the full solution, a cyber-physical system. It solves the issue of incompatible systems by providing a clear structure for exchanging information between sensors of varying measuring capabilities. This improves the effectiveness of monitoring systems. Using real-time sensors, the suggested system monitors conditions like moisture, temperature, humidity, rainfall, gas concentration, and seismic notification. An open-source platform known as Thing speak checks in on these variables every 2 minutes. The sensor data is then preprocessed, the features are selected, and the model is trained. EEMD-WOA-LSTM is used in the proposed method. When compared to two other models, including LSTM and GRU, the suggested method fares exceptionally well. © 2023 IEEE.

关键词： Empirical mode decomposition

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Multimodal Sensor Data Fusion Based Cyberattack Detection in Industrial Internet of Things Environment 7

Multimodal Sensor Data Fusion Based Cyberattack Detection in...

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7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023

作者： Nithya, R. Sundari, J.Jerlin Adaikala Rajesh Kanna, B. Balamurugan, M.S. Sindhuja, R. Srivastava, Aviral School of Computing Department of Networking and Communications College of Engineering and Technology SRM Institute of Science and Technology Tamilnadu Kattankulathur India Psg College of Arts and Science Department of Computer Technology Coimbatore641014 India Alagappa Chettiar College of Engineering and Technology Dept. of Electronics and Communication Engineering Karaikudi India Panimalar Engineering College Department of ECE Chennai India Saveetha Engineering College Department of Medical Electronics Chennai India Amity University Rajasthan Department of CSE Jaipur300202 India

ISBN: (纸本)9798350340600

The Industrial Internet of Things (IIoT) cites the usage of classical Internet of Things (IoT) in different applications and industrial fields. Smart grids, smart homes, supply chain management, connected cars, and smart cities are the different applications of IIoT. But this system is widely targeted by cyber-criminals. Big data analytics and Deep learning (DL) have considerable potential in developing and designing strong security systems for IIoT networks. This manuscript introduces Multimodal Sensor Data Fusion based Cyberattack Detection with glow worm swarm optimization (MSDF-CDGSO) technique in IIoT environment. The MSDF-CDGSO technique examines the IIoT data for identifying the existence of cyberattacks in the IIoT environment. In the presented MSDF-CDGSO technique, the IIoT devices collect data from different devices and fused them together. At the preliminary stage, the MSDF-CDGSO technique preprocesses the input data to scale them properly. For cyberattack detection, the MSDF-CDGSO technique uses class-specific cost regulation extreme learning machine (CCR-ELM) model. Finally, the GSO method is exploited to adjust the parameter values of the CCR-ELM algorithm. The simulation result analysis of the MSDF-CDGSO method is investigated on benchmark database. A widespread comparison results highlighted that the MSDF-CDGSO technique reaches improved cybersecurity in the IIoT environment. © 2023 IEEE.

关键词： Sensor data fusion

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