Article
Computer Science, Theory & Methods
Mario Jose Divan, Maria Laura Sanchez-Reynoso, Silvio Miguel Gonnet
Summary: The Internet-of-Things devices have improved the Spatiotemporal resolution in Real-time Data Gathering Systems. However, the heterogeneity of sensors has increased the complexity. This work presents a strategy for defining and communicating measurement projects using a conceptual hierarchy derived from a measurement ontology. It also introduces a data interchange format called BriefPD.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Chemistry, Analytical
Sandy F. da Costa Bezerra, Airton S. M. Filho, Flavia C. Delicato, Atslands R. da Rocha
Summary: The growth of Internet of Things services and applications has led to increased data processing and storage requirements. The concept of Edge computing leverages the processing capabilities of devices at the network edge, with Fog computing providing an intermediate processing tier that can reduce end-to-end latency, data traffic, and Cloud computing workload. Combining Fog computing with Complex Event Processing and data fusion techniques has the potential to generate valuable knowledge and aid decision-making processes in IoT systems.
Article
Engineering, Electrical & Electronic
Ashish Rauniyar, Truls Berge, Ard Kuijpers, Paul Litzinger, Bert Peeters, Erik van Gils, Nikolas Kirchhoff, Jan Erik Hakegard
Summary: Research and development efforts on sustainable and intelligent transportation systems are accelerating globally to address the environmental impacts caused by the transportation sector. Continuous monitoring of noise and exhaust emissions is crucial for achieving sustainable transport, and the use of sensors and IoT applications plays a key role in finding innovative transport solutions.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Jose Roldan-Gomez, Jesus Martinez del Rincon, Juan Boubeta-Puig, Jose Luis Martinez
Summary: In recent years, the Internet of Things (IoT) has grown rapidly, leading to an increase in attacks against it. This paper proposes an architecture that can generate complex event processing (CEP) rules for real-time attack detection in an automatic and unsupervised manner. By integrating CEP technology with principal component analysis (PCA), Gaussian mixture models (GMM), and the Mahalanobis distance, the architecture is able to analyze and correlate large amounts of data in real time, making it suitable for IoT environments. The testing of this architecture in simulated attack scenarios shows that the generated rules achieve a high F1 score of .9890 in real-time detection of six different IoT attacks.
Article
Computer Science, Information Systems
Muhammad Bauer Mollah, Jun Zhao, Dusit Niyato, Yong Liang Guan, Chau Yuen, Sumei Sun, Kwok-Yan Lam, Leong Hai Koh
Summary: Internet of Vehicles (IoV) is an emerging concept that integrates vehicles with the Internet and other system components to create a better environment and enhance safety for road users. In recent years, blockchain has been explored as a supporting system platform for IoV information exchange, offering desirable properties such as decentralization and immutability.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Civil
Zinuo Cai, Zebin Chen, Zihan Liu, Quanmin Xie, Ruhui Ma, Haibing Guan
Summary: Modern transportation big data presents challenges in developing an intelligent transportation system due to its high Volume, Velocity, and Variety. Current transportation systems rely on cloud computing but face issues of real-time processing and under-utilization of smart roadside devices. In this study, we propose RIDIC, an intelligent transportation system utilizing dispersed computing, which provides real-time response and fully utilizes smart devices. The experiments conducted in road vehicle detection and traffic signal recognition scenarios demonstrate that RIDIC can process transportation big data faster while reducing the demand for device computing resources.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Henry Duque Gomez, Jose Garcia-Rodriguez, Jorge Azorin-Lopez, David Tomas, Andres Fuster-Guillo, Higinio Mora-Mora
Summary: The emergence of large-scale and highly distributed cyber-physical systems (CPSs) in various applications has highlighted the importance of designing real-time and intelligent CPSs capable of decision making. An Intelligent Architecture model for CPS management (IA-CPS) based on online processing is proposed, handling simple and complex events using service-oriented architecture and event-driven architecture. The novelty lies in the service-oriented approach, offering a flexible service catalog for different scenarios and devices.
JOURNAL OF COMPUTATIONAL SCIENCE
(2021)
Article
Computer Science, Hardware & Architecture
Guadalupe Ortiz, Juan Boubeta-Puig, Javier Criado, David Corral-Plaza, Alfonso Garcia-de-Prado, Inmaculada Medina-Bulo, Luis Iribarne
Summary: Advancements in telecommunications and the Internet of Things have led to the emergence of smart city scenarios with smart services. Providing these services quickly, efficiently, in an interoperable manner, and in real time poses a technological challenge. The paper proposes a fully reusable microservice architecture standardized through the Web of Things paradigm, with high efficiency in real-time data processing. A performance evaluation of this architecture demonstrates excellent results through the implementation of microservices for air quality monitoring and alerting in smart ports.
COMPUTER STANDARDS & INTERFACES
(2022)
Article
Computer Science, Artificial Intelligence
Jose Roldan-Gomez, Juan Boubeta-Puig, Gabriela Pachacama-Castillo, Guadalupe Ortiz, Jose Luis Martinez
Summary: The Internet of Things (IoT) paradigm is growing rapidly, bringing both benefits and challenges, including the need for real-time detection of security attacks. This paper addresses this issue through the combination of Machine Learning (ML) and Complex Event Processing (CEP) techniques, comparing the performance of different vendor technologies in implementing the proposed architecture.
PEERJ COMPUTER SCIENCE
(2021)
Article
Engineering, Civil
Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han
Summary: Intelligent transportation systems (ITSs) face challenges in making timely and accurate decisions of vehicle behaviors due to the dynamic characteristics of vehicle networks. Federated learning (FL), a distributed machine learning technology, has gained attention for its privacy protection and scalability. We conducted a comprehensive survey on the developments of FL in ITS, addressing challenges, deployments, potential issues, and analyzing new challenges and limitations introduced by FL, along with collaborative technologies and future research directions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Kai Lin, Honglong Chen, Zhe Li, Na Yan, Huansheng Xue, Feng Xia
Summary: In the past decade, IoT technology has made significant advancements in various fields. Intelligent transportation systems (ITS), as a core application of IoT, have gained great attention from researchers. Radio frequency identification (RFID) is an essential technology in IoT and plays a crucial role in identifying tagged vehicles in ITS. However, the existing commercial-off-the-shelf (COTS) RFID tags cannot support the hash function, which poses a challenge for unknown tag identification protocols. To address this issue, we propose two approaches to efficiently identify unknown COTS RFID tags.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Elton F. de S. Soares, Carlos A. de M. S. Quintella, Carlos Alberto V. Campos
Summary: Intelligent Transportation Systems aim to improve transportation efficiency, and identifying the transportation mode of users is a key requirement. A real-time travel mode detection technique using supervised machine learning on smartphone sensor data was proposed and evaluated for performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Hang Cai
Summary: The purpose of this study is to examine the effectiveness of digital and intelligent real-time image processing in fitness motion detection in the context of the Internet of Things. A Deep Learning-based intelligent fitness real-time image processing system is implemented to address the lack of real-time training standards and potential workout injuries during fitness activities. The proposed algorithm outperforms other DL algorithms in terms of noise reduction performance and detection accuracy, making it a valuable reference for sports digitalization and intellectualization.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Information Systems
Garima Garg, Shivam Gupta, Preeti Mishra, Ankit Vidyarthi, Aman Singh, Asmaa Ali
Summary: Agriculture is a vital sector for economic development, but it faces challenges due to unscientific practices and crop loss from pests, diseases, and disasters. This article proposes CROPCARE, an intelligent system that uses mobile vision, IoT, and Google Cloud services for real-time crop disease detection and prevention. It also provides recommendations on soil and weather conditions, and supports both Hindi and English dictionaries.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Sarah Kaleem, Adnan Sohail, Muhammad Usman Tariq, Muhammad Asim
Summary: The exponential growth of the Internet of Things has revolutionized intelligent transportation systems, and this paper presents a personalized architecture utilizing federated learning for efficient and real-time big data analytics in IoT-enabled ITSs. The proposed architecture addresses critical challenges and demonstrates superior performance in terms of scalability, real-time decision-making capabilities, and data privacy preservation.
Article
Computer Science, Information Systems
Vishal Sharma, Navuday Sharma, Mubashir Husain Rehmani, Haris Pervaiz
Summary: This article explores multidrone communications in terms of survivability, coverage, and mobility laws to optimize multitier ABS networks and address issues such as interference, energy deficiency, frequent handovers, and lifetime.Simulation results of hierarchical ABS allocations for handling users in a defined geographical area are presented, along with open issues and challenges for ABS network management and utility framework analysis.
IEEE PERVASIVE COMPUTING
(2021)
Article
Computer Science, Information Systems
Guisong Yang, Buye Wang, Xingyu He, Jiangtao Wang, Haris Pervaiz
Summary: This study investigates the competition-congestion-aware stable matching problem in Mobile Crowd Sensing and designs a worker decision game based on congestion game theory as well as a stable matching algorithm based on the extended deferred acceptance algorithm, effectively enhancing worker satisfaction and platform benefit.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Qamar Abbas, Syed Ali Hassan, Haris Pervaiz, Qiang Ni
Summary: This paper investigates the uplink of an Internet-of-Thing (IoT) network using a discrete time Markov chain (MC) model to study the effects of packet arrival rate, number of nodes, and queue length on Age of Information (AoI) and packet drop probability. The results indicate that AoI increases with the increase in queue length, number of nodes, and arrival rate.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Multidisciplinary
Navuday Sharma, Atul Kumar, Haris Pervaiz, Maurizio Magarini, Leila Musavian, Muhamamd Mahtab Alam, Anish Jindal, Muhammad Ali Imran
Summary: The article focuses on determining the optimal altitude of an Aerial Base Station (ABS) using probabilistic air-to-ground channel model and Generalized Frequency Division Multiplexing (GFDM) system model, to study the impact on cell coverage area and Symbol Error Rate (SER) in different scenarios. The results demonstrate significant improvement in SER performance with Better than Nyquist pulses compared to traditional Nyquist pulses.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Automation & Control Systems
Payam Rahimi, Chrysostomos Chrysostomou, Haris Pervaiz, Vasos Vassiliou, Qiang Ni
Summary: This article introduces a novel architectural design of a virtual Fog-RAN based on SDN and NFV, which improves resource utilization and user satisfaction through optimizing wireless resource allocation and transmit beamforming. Through performance analysis, the results show that this approach maximizes the achievable sum-rate while saving on the utilization of radio and baseband resources.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Civil
Wali Ullah Khan, Tu N. Nguyen, Furqan Jameel, Muhammad Ali Jamshed, Haris Pervaiz, Muhammad Awais Javed, Riku Jantti
Summary: Heterogeneous backscatter vehicular networks are a promising solution for addressing coverage and capacity demands, with a focus on a learning-based optimization framework. The proposed scheme involves resource allocation, user association, and spectrum sharing in collaboration-centric setup, with benefits demonstrated through extensive simulation studies.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Muhammad Farooq-I-Azam, Qiang Ni, Mianxiong Dong, Haris Pervaiz, Charilaos Zarakovitis, Fawaz Alsolami
Summary: In recent years, the increasing use of wireless networks and applications has led to overcrowding of the radio frequency spectrum. Cognitive radio allows secondary users to communicate on allocated frequency bands without interfering with primary users. Our work proposes a cooperative localization strategy to determine the distance between secondary and primary users, which is then used to adjust the transmission power of secondary nodes and avoid interfering with primary users. Simulation experiments evaluate the proposed methodology and show considerable gains in interference avoidance.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Civil
Adil Ali Raja, Haris Pervaiz, Syed Ali Hassan, Sahil Garg, M. Shamim Hossain, Md Jalil Piran
Summary: This paper presents a stochastic geometry framework to analyze the downlink coverage probability in a multi-tier HetNet with different frequency bands. Monte Carlo simulations validate the theoretical analysis, showing that mmWave and THz networks improve data rates but decrease coverage probability.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yan Li, Tao Li, Yongzhao Li, Haris Pervaiz, Qiang Ni
Summary: This letter proposes a transmission scheme for a cooperative relay sharing network based on non-orthogonal multiple access (NOMA). The scheme uses a dynamic decoding order strategy to minimize the network's outage probability, while reducing complexity and overhead.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Information Systems
Dimitris Gkoulis, Cleopatra Bardaki, George Kousiouris, Mara Nikolaidou
Summary: This paper focuses on IoT architectures and knowledge generation from streams of events for user-centric IoT services. A general symmetrical IoT architecture is proposed, enabling bidirectional communication between things and users. The Event Engine and Process Engine components implement parametric CEP to handle event transformation, from raw IoT data to processed information. The implementation includes a library of composite transformations for transforming basic IoT events into business events. The appropriateness and integration of the implementation in an IoT environment are demonstrated using scenarios in a smart farming application domain.
Article
Engineering, Electrical & Electronic
Dawei Nie, Wenjuan Yu, Qiang Ni, Haris Pervaiz, Geyong Min
Summary: This paper proposes a cluster-based cooperative sensing-after-prediction scheme to simplify the complex physical sensing process and reduce energy consumption and the number of users, through cooperative prediction and optimization.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
George Kousiouris
Summary: The study introduces a request batch aggregation and management pattern to accumulate and delay requests sent to the backend based on execution conditions, effectively reducing backend stress, improving response time, and preventing system breakdown under heavy load.
2021 IEEE INTERNATIONAL PERFORMANCE, COMPUTING, AND COMMUNICATIONS CONFERENCE (IPCCC)
(2021)
Article
Energy & Fuels
Khurram Shabih Zaidi, Sadaf Hina, Muhammad Jawad, Ali Nawaz Khan, Muhammad Usman Shahid Khan, Haris Bin Pervaiz, Raheel Nawaz
Summary: This paper discusses the use of ISM band Wi-Fi frequencies for offshore wireless backhaul connectivity, providing a new solution for offshore IoT devices. The experimental results demonstrate that stable 99% link availability can be achieved for offshore IoT devices up to a maximum distance of 60 km over the sea.
Article
Telecommunications
Binbin Su, Qiang Ni, Wenjuan Yu, Haris Pervaiz
Summary: In this article, the application of user cooperation and non-orthogonal multiple access schemes in a wireless powered mobile edge computing system is investigated. Through UC and NOMA protocols, tasks are offloaded to the MEC server, showing significant impact of UC when users are close and more effectiveness of NOMA when users are far.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Saif U. R. Malik, Tehsin Kanwal, Samee U. Khan, Hassan Malik, Haris Pervaiz
Summary: Mobile Edge Computing (MEC) acts as a proxy between devices and the cloud for low-latency applications, but faces challenges such as interference and decreased data transmission rates due to excessive service requests. This paper proposes a user-centric QoS-aware multi-path service provisioning approach to distribute requests effectively, improving network state, reducing waiting time, and decreasing QoS violations. Results show a significant improvement compared to traditional Greedy approaches.