Article
Computer Science, Information Systems
Ali El Amine, Hussein Al Haj Hassan, Loutfi Nuaymi
Summary: This article studies the energy and radio allocation mechanisms for cellular networks using hybrid energy sources, proposing an algorithm that reduces operator's grid energy consumption, includes battery degradation constraints, and performs close to optimal solution. The advancements in base station technology are expected to help reduce investment costs in future cellular networks.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Lilan Liu, Zhizhong Zhang, Ning Wang, Haijun Zhang, Yu Zhang
Summary: This paper investigates the long-term average total energy cost minimization problem in Heterogeneous Cellular Networks powered by Grid-connected Smart Micro Grids. The proposed CAORM algorithm outperforms benchmarks in reducing total energy cost and making appropriate decisions according to different unit costs of renewable energy.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Review
Green & Sustainable Science & Technology
Mostafa Rezaeimozafar, Rory F. D. Monaghan, Enda Barrett, Maeve Duffy
Summary: The electric power industry is transitioning towards a carbon-free smart system, with the integration of renewable energy resources bringing new opportunities and challenges for system operators and end-users. Energy storage systems play a crucial role in maximizing these opportunities and mitigating potential challenges. This study focuses on BTM energy storage systems installed in end-users' premises and explores their potential capabilities and challenges in today's power system.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Dongming Fan, Yi Ren, Qiang Feng, Yiliu Liu, Zili Wang, Jing Lin
Summary: Smart grids, as intelligent infrastructure in smart cities, provide reliable, energy-efficient, and high-quality power to improve living standards and maintain a sustainable environment. Restoration, as an effective and intelligent way for self-healing, has gained considerable attention from researchers and engineers, presenting challenges and opportunities for the advancement of smart grid restoration.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Information Systems
Vignesh Sivaraman, Biplab Sikdar
Summary: This article proposes a privacy-preserving framework for smart grids integrated with software-defined networks, utilizing mutual information and differential privacy metrics and formulating a distributed optimization algorithm to minimize network cost. The algorithm is viewed as an n-player, noncooperative game and efficient distributed techniques are provided to solve the optimization problem. Experimental results validate the convergence of the algorithm to the Nash equilibrium of the game while preserving data privacy.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Multidisciplinary Sciences
Oumair Naseer, Saif Ullah, Luqman Anjum
Summary: The integration of wireless networks and Internet of things-enabled communication is critical in smart grids to address challenges in supply chain. Existing control access schemes are not reliable in terms of security and privacy, leading to untrustworthiness and single-point failure. A proposed decentralized trusted control access scheme leveraging blockchain technology ensures trusted communication between smart grid entities.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
Ching-Hsien Hsu, Nithin Melala Eshwarappa, Wen-Thong Chang, Chunming Rong, Wei-Zhe Zhang, Jun Huang
Summary: A smart city is a transformative approach that utilizes IoT technology to connect different digital devices and provide new services to various fields. This article proposes a green communication approach for the smart city and evaluates its optimization effectiveness through simulation analysis.
Review
Chemistry, Analytical
Javier Manuel Aguiar-Perez, Maria Angeles Perez-Juarez
Summary: Smart grids can forecast customers' energy demand and transmit electricity accordingly by considering the expected demand. To tackle the challenges of demand forecasting with large amounts of data generated by smart grids, modern data-driven techniques are needed. Among these techniques, Long Short-Term Memory networks based on Recurrent Neural Networks are widely used for learning patterns from customer data and predicting demand for various time horizons. This paper emphasizes the importance of demand forecasting and related factors in the context of smart grids, and shares experiences of using Deep Learning techniques for this purpose.
Article
Automation & Control Systems
Ahlam Althobaiti, Charalampos Rotsos, Angelos K. Marnerides
Summary: Energy theft is a significant challenge that causes substantial energy and revenue losses for utility providers worldwide. We propose an energy theft detection system that can differentiate between power consumption and generation theft, with adaptive features and high accuracy.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Xiaohan Hao, Wei Ren, Kim-Kwang Raymond Choo, Naixue Xiong
Summary: “The increasing volume of user and household data and number of smart meters pose challenges to ensuring efficiency and privacy protection in electricity trading. This article introduces a new architecture for smart meters, utilizing blockchain-based wallets for transactions and smart contracts for transmission switch instructions. The proposed scheme includes a decentralized peer-to-peer electricity trading scheme and a blockchain-based anonymous authentication scheme to achieve automated electricity transmission and privacy protection.”
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Haomiao Yang, Shaopeng Liang, Xizhao Luo, Dianhua Tang, Hongwei Li, Xuemin Shen
Summary: This article proposes a secure K-means clustering scheme called PIPC, which aims to protect the privacy and integrity of load profiling. By using techniques such as encrypted distance measurement and integrity assurance, PIPC successfully protects the privacy of smart-meter data and maintains the integrity of outsourced clustering.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Kamila Koteish, Hassan Harb, Mohammad Dbouk, Chamseddine Zaki, Chady Abou Jaoude
Summary: Agriculture is facing challenges such as increasing food demand, extreme weather conditions, and climate change. Smart agriculture, enabled by IoT technology, offers a solution by remotely monitoring field conditions and providing real-time data to farmers. However, the volume of collected data and energy consumption pose challenges. This paper proposes AGRO, a real-time agriculture monitoring mechanism, which efficiently senses soil moisture, saves energy, and enables informed decision-making.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Chemistry, Analytical
Muhammad Tanveer, Hisham Alasmary
Summary: The utilization of smart grid (SG) has gained considerable attention for demand response management. However, the security and privacy of the data transmission between smart meters (SMs) and the server in SG systems are vulnerable to attacks. In this article, a lightweight authentication (AC) protocol named LACP-SG is proposed to ensure secure communication and data exchange between SM and server.
Article
Computer Science, Information Systems
Mohammed M. Alani, Lara Mauri, Ernesto Damiani
Summary: As the adoption of IoT devices increases rapidly, industrial applications of IoT devices gain further popularity. This paper presents a two-stage system for the detection and classification of cyber attacks based on machine learning, aiming to enhance the security of high-risk applications such as smart grids.
INTERNET OF THINGS
(2023)
Article
Computer Science, Information Systems
Chengpeng Huang, Xiaoming Wang, Qingqing Gan, Daxin Huang, Mengting Yao, Yijian Lin
Summary: The study compared the advantages and disadvantages of existing smart grid data aggregation schemes, proposing a lightweight and fault-tolerant new scheme that can ensure the correctness of the final aggregation result while reducing the number of communication rounds and ensuring data privacy.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Jingjing Yao, Nirwan Ansari
Summary: The research focuses on minimizing data transmission delay in dynamic IoT networks, formulated as an Integer Linear Programming (ILP) problem and modeled as a Markov decision process (MDP). Caching at the IoT gateway is proposed as a solution to reduce battery depletion of IoT sensors, with a deep reinforcement learning algorithm developed to address the problem.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Jingjing Yao, Nirwan Ansari
Summary: In this article, we investigate the optimization of energy consumption and federated learning time in fog-aided IoT networks by controlling the CPU frequency and wireless transmission power of all IoT devices. An alternative direction algorithm is designed to solve this problem by optimizing the CPU frequency and wireless transmission power alternately until convergence, and its performance is demonstrated through extensive simulations.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Praveen Gorla, Vinay Chamola, Vikas Hassija, Nirwan Ansari
Summary: The 5G technology utilizes MIMO for increasing capacity and efficiency of the network, requiring effective resource management for reliable services, where blockchain technology plays a promising role to resolve spectrum under-utilization.
Article
Computer Science, Information Systems
Di Wu, Nirwan Ansari
Summary: The Industrial Internet of Things enables direct wireless communication between industrial machines and people, forming the backbone of Industry 4.0. By grouping devices and utilizing blockchain for access control, a new voting mechanism with trust evaluation has been proposed to increase the likelihood of correct authorizations even in the presence of malicious devices.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Siqi Huang, Xueqing Huang, Nirwan Ansari
Summary: With the convenience of Internet access and high-quality sensors in end-user devices, more and more consumers are participating in content creation. Mobile edge computing provides distributed computing resources for local data processing, especially in enhancing video content generation and delivery, aiming to improve efficiency and cost-effectiveness.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Shuai Zhang, Nirwan Ansari
Summary: This paper focuses on determining the 3D location of the DBS, user association, and bandwidth allocation policy between the MBS and the DBS to minimize the total average latency ratio of all users. The proposed algorithm efficiently solves the problem by iteratively optimizing two sub-problems, resulting in a significant reduction in latency ratio compared to other baseline schemes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Weiqi Liu, Liang Zhang, Nirwan Ansari
Summary: The study introduces a laser charging enabled drone-mounted base-station framework that provides users with more flexible communication services, by solving a joint problem to maximize flight time and data rate.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Telecommunications
Jingjing Yao, Nirwan Ansari
Summary: This paper explores the use of Fog-aided Internet of Drones (IoD) and Federated Learning (FL) to provide services while protecting drone data privacy. The study focuses on optimizing power control for all drones to maximize security rates in the FL system, considering drone battery capacities and Quality of Service requirements. The proposed algorithm aims to achieve optimal solutions with low computational complexity through extensive simulations.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Multidisciplinary Sciences
Shovon Lal Sarkar, A. S. M. Rubayet Ul Alam, Prosanto Kumar Das, Md Hasan Ali Pramanik, Hassan M. Al-Emran, Iqbal Kabir Jahid, M. Anwar Hossain
Summary: A simple and cost-effective alternative diagnostic method for COVID-19 was developed based on melting curve analysis. Compared to commercial kits, this method shows high specificity and sensitivity, with lower cost.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Civil
Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Mustafa Mohammad Yousef
Summary: This study proposes utilizing edge computing for traffic monitoring tasks, with different algorithms executed on edge nodes and the TMC, considering limited computing resources on the cloudlets and unstable network conditions. The hybrid edge-cloud solution outperforms both cloud-only and edge-only solutions in test-bed experiments under various weather and network conditions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Immunology
M. Nazmul Hoque, Md. Murshed Hasan Sarkar, Md. Arif Khan, Md. Arju Hossain, Md. Imran Hasan, Md. Habibur Rahman, Md. Ahashan Habib, Shahina Akter, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, Tasnim Nafisa, Md. Maruf Ahmed Molla, Mahmoud E. Soliman, Yusha Araf, M. Salim Khan, Chunfu Zheng, Tofazzal Islam
Summary: This study utilized machine learning approaches to analyze RNA-seq data from COVID-19 patients, recovered individuals, and healthy individuals, finding disease-related differentially expressed genes. It provides insights into the role of SARS-CoV-2 infection in the pathophysiology and comorbidity of COVID-19.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Computer Science, Information Systems
Abdullah Hossain, Nirwan Ansari
Summary: This paper extensively examines the impact of numerology schemes on a sliced TDD radio access network. The incorporation of numerology schemes into network slicing is highly instrumental in realizing the future 5G and 6G networks. The work demonstrates the enhanced capabilities of sliced networks utilizing numerology by optimizing key parameters and allocating power and bandwidth under numerology-enabled slicing.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Telecommunications
Mohammad Arif Hossain, Nirwan Ansari
Summary: The paper proposes leveraging techniques such as edge computing, network slicing, and non-orthogonal multiple access to reduce the total latency of computing tasks in 5G networks, as well as improving energy and spectral efficiencies of the system. Through a series of schemes and optimization problems, a near-optimal solution is obtained using a heuristic algorithm, effectively reducing the computational complexity of the system.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Telecommunications
Jingjing Yao, Nirwan Ansari
Summary: This study investigates the joint optimization of power control and energy harvesting control in Internet of Drones (IoD) networks to minimize system energy cost. A Markov Decision Process is formulated and a modified actor-critic reinforcement learning algorithm is proposed to address the problem effectively.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Hichem Sedjelmaci, Imane Horiya Brahmi, Nirwan Ansari, Mubashir Husain Rehmani
Summary: The proposed cyber defense framework is based on a hierarchical cooperative game to secure legitimate vehicles from attacks, featuring players like the Intrusion Detection System (IDS), Intrusion Prediction System (IPS), and Intrusion Reaction System (IRS) cooperating to efficiently detect, predict, and react to potential attacks, ultimately aiming to reduce false positive and false negative rates with low communication overhead and delay compared to current frameworks.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
