Article
Computer Science, Information Systems
Abu Jahid, Mohammed H. Alsharif, Peerapong Uthansakul, Jamel Nebhen, Ayman A. Aly
Summary: This paper proposes a dynamic point selection coordinated multipoint (DPS CoMP) based load balancing paradigm to enhance throughput and energy efficiency in communication networks. By utilizing green energy harvesting for powering C-RAN, it reduces the reliance on utility grid, carbon footprint, and operational expenses. Extensive simulations show that the proposed framework not only improves system performance, but also saves significant energy consumption and increases energy efficiency.
Article
Construction & Building Technology
Brenda V. F. Silva, Jens Bo Holm-Nielsen, Sasan Sadrizadeh, Mavd P. R. Teles, Mohammad Kiani-Moghaddam, Ahmad Arabkoohsar
Summary: This paper comprehensively reviews the importance of building energy consumption and greenhouse gas emissions worldwide, with a specific focus on energy efficiency and comfort in healthcare buildings. It analyzes both passive and active measures for energy savings, emphasizing the critical role of user behavior. It also provides design and retrofitting recommendations for healthcare buildings and addresses the lack of research on small-scale healthcare buildings.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Environmental Sciences
Mariam Kasradze, Mahyar Saraji Kamali, Dalia Streimikiene, Remigijus Ciegis
Summary: Environmental pollution, increased energy consumption, and growing demand for the energy sector have been widely discussed. The International Energy Agency (IEA) supports energy efficiency and evaluation by developing tracking indicators and analyzing energy consumption data. Results showed that CO2 emissions and monitoring energy consumption are the most significant indicators while assessing the countries' performance regarding green energy production.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Information Systems
Mohammed H. Alsharif, Kannadasan Raju, Abu Jahid, Mahmoud A. Albreem, Peerapong Uthansakul, Jamel Nebhen, Venkatesan Chandrasekaran
Summary: Green wireless networks or energy-efficient wireless networks have become a popular research topic due to concerns about the environment and expenses among cellular operators. Utilizing renewable energy technologies to meet the specific power supply requirements of cellular base stations can lead to significant cost savings and decrease in greenhouse gas emissions. The proposed solar-powered base stations in Oman show potential for considerable savings and offer economic, technical, and ecological benefits to cellular operators.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Computer Science, Information Systems
Tao Yu, Shunqing Zhang, Xiaojing Chen, Xin Wang
Summary: In this article, a novel energy efficiency metric called integrated relative EE (IREE) is proposed, which can jointly measure the traffic profiles and network capacities from the perspective of energy efficiency. The traditional EE metric fails to capture the variations in traffic and capacity of next-generation wireless networks. Through analytical and numerical results, it is shown that the proposed IREE metric is able to capture the wireless traffic and capacity mismatch property, which is significantly different from the conventional EE metric. The IREE-oriented design or deployment strategy can be considered as a useful guidance for future energy-efficient network design.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Computer Science, Hardware & Architecture
Kazi Yasin Islam, Iftekhar Ahmad, Daryoush Habibi, Adnan Waqar
Summary: This article provides a comprehensive review of energy-efficient underwater wireless communication (UWC) networks. It discusses the network architectures, challenges, power-saving techniques, and alternative energy sources in UWC. Future research directions and challenges related to the adoption of the Internet of Underwater Things (IoUT) are also highlighted.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Shuguang Wang, Luang Sun, Sajid Iqbal
Summary: The study highlights the importance of renewable energy dependence in facilitating energy transition in E7 settings. Factors such as renewable energy demand and supply ratio, energy consumption to GDP ratio are crucial in promoting renewable energy transition through green financing. The shift towards renewable energy in E7 economies is partly attributed to investments in renewable energy sources supported by green finance.
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
Computer Science, Hardware & Architecture
Ryoichi Shinkuma, Naoki Kishi, Kaoru Ota, Mianxiong Dong, Takehiro Sato, Eiji Oki
Summary: The study proposes a scheme utilizing software-defined networking and edge computing technologies to enhance traffic prediction accuracy by incorporating important traffic logs, even when using only logs from active base stations.
Article
Computer Science, Hardware & Architecture
Stefano Bonafini, Claudio Sacchi, Riccardo Bassoli, Koteswararao Kondepu, Fabrizio Granelli, Frank H. P. Fitzek
Summary: Efficient wireless and long-haul connections are urgently needed for mobile connectivity on Mars. A flexible 6G-based 3D network solution utilizing drones, small satellites, and orbiters is proposed to support low-latency wireless links. Trade-offs when selecting orbital altitude are analyzed. Performance evaluation is conducted through end-to-end emulation trials.
Article
Chemistry, Multidisciplinary
Yilin He, Amus Chee Yuen Goay, Anthony Chun Yin Yuen, Deepak Mishra, Yang Zhou, Teng Lu, Danyang Wang, Yun Liu, Cyrille Boyer, Chun H. Wang, Jin Zhang
Summary: This study introduces a novel method to improve the output performance of triboelectric nanogenerators (TENGs) by constructing Schottky junctions and using composite fiber mats. The TENGs with these enhancements achieve significantly higher output power and are utilized to power RFID tags for backscatter communication systems, increasing the communication range.
Article
Green & Sustainable Science & Technology
Andreas Dimou, Stergios Vakalis
Summary: The non-interconnected islands in Greece are transitioning to green energy, with the Ai Stratis - Green Island project on Agios Efstratios island serving as a flagship project. This study compared the proposed design of a public call with two other designs in terms of renewable energy penetration and economics, and proposed a lower-cost alternative.
Article
Geosciences, Multidisciplinary
Norazah Mohd Suki, Norbayah Mohd Suki, Sahar Afshan, Arshian Sharif, Mohd Ariff Kasim, Siti Rosmaini Mohd Hanafi
Summary: The study aims to understand the impact of green technology innovation on green growth. The results show a negative correlation between technology innovation and renewable energy with carbon emissions, while non-renewable energy has a positive impact on carbon emissions. The findings suggest the need for more research and development to control environmental degradation by increasing the number of technological patents.
Article
Computer Science, Interdisciplinary Applications
Fahimeh Dabaghi-Zarandi
Summary: The paper proposes a new Local Traffic-aware Green Algorithm based on Sleep-scheduling (LTGAS) for reducing energy consumption in autonomous wired networks during low traffic periods. This dynamic solution considers online and local traffic knowledge to effectively switch off underutilized network nodes and links, achieving up to 38% energy savings with minimal impact on network performance metrics.
SIMULATION MODELLING PRACTICE AND THEORY
(2022)
Article
Economics
Mingbo Zheng, Gen-Fu Feng, Chyi-Lu Jang, Chun-Ping Chang
Summary: Terrorism has a negative impact on green technological innovation in renewable energy technologies, leading to reduced innovation in economies, especially in OECD countries. Wind energy innovation is particularly affected by terrorist attacks. The repression effect of terrorism on green innovation is more significant in economies with lower green innovation performance.
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
Telecommunications
Zhaoming Ding, Lianfeng Shen, Hongyang Chen, Feng Yan, Nirwan Ansari
Summary: The letter analyzes the residual-energy aware feature of a sensor node in time-varying wireless sensor networks, and proposes an energy-efficient routing algorithm based on Markov chain, which can effectively extend network lifetime.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Abdullah R. Hossain, Nirwan Ansari
Summary: This paper examines network slicing within the radio access network using an orthogonal frequency division multiple access system for downlink communications, focusing on achieving optimal resource provisioning and power allocation under priority slicing. The results demonstrate that the wireless network can satisfy quality-of-service requirements for different priority traffic while mitigating inter-slice and intra-slice contentions in practical deployments.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Liang Zhang, Nirwan Ansari
Summary: This article introduces a novel UAV-assisted MEC architecture to provision services to IoTDs. The Joint-CAP problem in the UAV-MEC network is formulated to minimize operation cost, decomposed into two sub-problems, and solved sequentially. An (1 + epsilon)-approximation algorithm, AA-CAP, is proposed to solve the Joint-CAP problem, demonstrating superior performance compared to baseline algorithms through simulations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Jinle Zhu, Qiang Li, Li Hu, Hongyang Chen, Nirwan Ansari
Summary: Two detection schemes for detecting Phase Modulation on the Hypersphere (PMH) signals are proposed in this paper, one based on expectation maximization (EM) algorithm with maximum likelihood detection, and the other based on EM algorithm with KD-tree detection. These schemes can accurately obtain channel information and significantly reduce detection complexity, while maintaining detection results comparable to the optimal maximum likelihood detector.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Lin Li, Xiansheng Guo, Mengxue Zhao, Huiyong Li, Nirwan Ansari
Summary: The paper introduces TransLoc, a framework for fingerprint-based indoor localization, which efficiently transfers knowledge from source domain to target domain by removing redundant knowledge, constructing a homogeneous feature space, and improving target location prediction accuracy.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(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
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
Computer Science, Information Systems
Yang Xiao, Jun Liu, Jiawei Wu, Nirwan Ansari
Summary: After decades of unprecedented development, modern networks have surpassed expectations in scale and complexity, traditional traffic engineering approaches are inadequate for meeting the quality of service requirements. Deep reinforcement learning has shown to be a feasible solution for autonomously controlling and managing complex systems, with applications benefiting the communications industry.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(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)
