Article
Energy & Fuels
Margot Deruyck, Silvia Bova, Greta Vallero, Michela Meo, Luc Martens, Wout Joseph
Summary: This paper investigates the use of renewable energy sources for wireless access networks and proposes an optimized algorithm to reduce costs. The study shows that wind energy is the most suitable option and the optimized multiple RES system performs the best.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Green & Sustainable Science & Technology
Venu Madhav Kuthadi, Rajalakshmi Selvaraj, S. Baskar, P. Mohamed Shakeel
Summary: This article proposes a Portable and Data Security Tolerance-based Energy-Efficient Framework (PDST-EEF) for reducing sensor device energy usage and ensuring high levels of data security in smart grid environments. The framework utilizes an authentication method and cryptographic signature model to protect data privacy, and effectively identifies and separates different attacks. It also provides a low-power cyber safety mechanism for sensor networks with smart grid tracking applications.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
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.
Article
Construction & Building Technology
Hailing Zhu, Khmaies Ouahada
Summary: This paper investigates energy storage sharing among cooperative households with integrated renewable generations in a grid-connected microgrid under dynamic electricity pricing. A distributed real-time sharing control algorithm is proposed to optimize energy management, where each household independently solves a simple convex optimization problem in each time slot, leading to improved cost savings and renewable energy utilization.
ENERGY AND BUILDINGS
(2021)
Article
Telecommunications
Min Li, Kaiyu Wang, Shuangshuang He
Summary: To enhance network performance and improve energy efficiency in energy harvesting wireless sensor networks (EH-WSNs), a novel energy efficiency model and relay deployment scheme are proposed in this letter. The minimum relay maximum energy efficiency (MRMEE) problem, which is NP-hard, is formulated and solved using a particle swarm optimization-genetic algorithm (PSO-GA). Simulation results demonstrate that the proposed approach can improve energy efficiency and prolong network lifetime compared with other methods.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Telecommunications
Amine Kardi, Rachid Zagrouba
Summary: This paper introduces a new energy management function called Smart Slumber, designed to minimize energy consumption in Wireless Sensor Networks (WSNs). By coordinating waking periods and pausing, the technique improves network lifespan, prevents interruptions, and shows significant improvements compared to classic HSRP and LEACH protocols in terms of Packet Delivery Ratio.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
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
Energy & Fuels
Juan J. Cuenca, Hannah E. Daly, Barry P. Hayes
Summary: Small-scale distributed generation, such as rooftop solar photovoltaics, is adopted earlier in high-income households, which can limit grid electricity export capacity for latecomers and slow down renewable energy deployment. In this study, a policy is proposed to represent grid limitations at all levels of the grid, and a method to predict interest in household distributed generation installations based on demographic and socioeconomic variables is presented. The proposed policy of sharing the grid increases participation and access to the grid without infrastructure upgrades and accelerates small-scale distributed generation rollout, benefiting households and decarbonisation targets.
Review
Chemistry, Analytical
J. Carlos Lopez-Ardao, Raul F. Rodriguez-Rubio, Andres Suarez-Gonzalez, Miguel Rodriguez-Perez, M. Estrella Sousa-Vieira
Summary: The article surveys the issue of energy balancing in Wireless Sensor Networks, focusing on three key areas: energy conservation techniques, energy-harvesting techniques, and energy transfer techniques. The main contributions in these areas and trending topics in recent research are identified. Discussion on future directions is also included.
Article
Automation & Control Systems
Hui Miao, Guo Chen, Zhiheng Zhao, Fangfei Zhang
Summary: This article introduces a more complex multihop wireless remote metering network model and proposes a novel evolutionary aggregation algorithm to obtain optimal results. The algorithm improves performance through switch and shuffle operations, effectively reducing infrastructure costs in various smart meter network environments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Chemistry, Multidisciplinary
Daladier Jabba, Pedro Acevedo
Summary: The paper introduces ViTool-BC, a software built on top of Cooja, which helps researchers to monitor in real time the behavior of WSN topology construction and offers a heat map of energy consumption traces. This tool assists in the analysis of available routing protocols.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Hardware & Architecture
Yang Gao, Wenjun Wu, Pengbo Si, Zhaoxin Yang, Fei Richard Yu
Summary: This article introduces a new architecture for resource sharing and transactions in fog computing networks, called B-ReST, enabled by blockchain technology. Key technologies and advantages of B-ReST are discussed, and simulation results demonstrate the benefits of B-ReST in resource sharing and transactions through solving the RPM problem.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Wael J. J. Abdallah, Khurram Hashmi, Muhammad Talib Faiz, Aymen Flah, Sittiporn Channumsin, Mohamed A. A. Mohamed, Denis Anatolievich Ustinov
Summary: The microgrid is a new trend in modern power systems, consisting of controllable power sources, storage, and loads. A hierarchical control scheme composed of multi-agents is established to regulate and synchronize the interaction of these components. Communication delays in transmitting control signals can lead to deteriorated control performance, but this paper proposes novel multi-agent moving average estimators to mitigate the effect of latent communication links and establishes a hierarchical control scheme incorporating these estimators for accurate system values during delays. Mathematical models, simulation studies, and experimental verification demonstrate the efficacy and superiority of the proposed control scheme in comparison with conventional methods.
Article
Telecommunications
Luyao Wang, Kwan-Wu Chin, Sieteng Soh
Summary: This paper addresses the wireless link scheduling with nodes having Energy Harvesting and energy sharing capabilities. A Mixed Integer Linear Program and a novel heuristic algorithm are proposed for determining the shortest link schedule and optimal transmission power, as well as for generating link schedules for large-scale networks. Results show that energy sharing reduces schedule lengths by 20% and the distributed algorithm generates schedules 65% shorter than protocols requiring random decisions from nodes.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Engineering, Electrical & Electronic
Zhiyong Du, Yansha Deng, Weisi Guo, Arumugam Nallanathan, Qihui Wu
Summary: This article addresses the challenge of complexity explosion in radio resource management in the context of 5G and beyond, proposing green DRL through architecture and algorithm innovations. By introducing a cloud-based training and distributed decision-making DRL scheme, along with compression approaches for DNNs and MDPs, the aim is to achieve on-demand DRL capability with energy efficiency.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(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
Telecommunications
Borui Zhao, Qimei Cui, Shengyuan Liang, Jinli Zhai, Yanzhao Hou, Xueqing Huang, Miao Pan, Xiaofeng Tao
Summary: The article focuses on green concerns in FL over 6G, analyzing energy consumption challenges and proposing various methods to reduce energy consumption and green designs for FL-based 6G networks.
CHINA COMMUNICATIONS
(2022)
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
Hongjia Li, Chang Yang, Liming Wang, Nirwan Ansari, Ding Tang, Xueqing Huang, Zhen Xu, Dan Hu
Summary: Mobile edge computing (MEC) is a method of extending computing services from the cloud to the edge, providing real-time services and addressing backhaul bottleneck. To enhance security defense flexibility, we propose the CODE4MEC framework, which coordinates container-carried defensive resources among cooperative MEC nodes for automatic adaptation to traffic changes. We introduce an online combinatorial auction mechanism for real-time CODE scheduling and a flow-based coordination scheme for efficient defense.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Oncology
Jiyang Liu, Xiongfeng Yu, Xueqing Huang, Qingquan Lai, Jieyun Chen
Summary: This study aimed to investigate the impact of preoperative body composition analysis on long-term oncological outcomes in patients with mid and low rectal cancer who underwent surgery. The study found that skeletal muscle area and subcutaneous fat distribution were important predictors of long-term oncological outcomes. Skeletal muscle radiodensity and visceral fat area were also associated with prognosis.
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)
Proceedings Paper
Engineering, Electrical & Electronic
Kangjia Yu, Qimei Cui, Ziyuan Zhang, Xueqing Huang, Xuefei Zhang, Xiaofeng Tao
Summary: In future mobile edge networks, IoT applications require low latency and high computational power. To efficiently process IoT tasks, a framework utilizing unmanned aerial vehicle (UAV) and satellite-assisted mobile edge computing (MEC) has been proposed. To adapt to the dynamic environment and optimize resource utilization, a multiagent deep deterministic policy gradient (MADDPG) framework is introduced.
2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA
(2022)
Article
Computer Science, Information Systems
Xueqing Huang, Nirwan Ansari
Summary: Mobile edge computing can reduce the distance for data transmission and improve content delivery efficiency by considering both storage and radio aspects. This article proposes a comprehensive analytical framework for content caching and delivery, and introduces a joint user scheduling and caching scheme to optimize performance.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Proceedings Paper
Computer Science, Information Systems
Qi Dang, Qimei Cui, Zhenzhen Gong, Xuefei Zhang, Xueqing Huang, Xiaofeng Tao
Summary: In this study, a UAV-enabled wireless power transmission scheme is proposed, which focuses on the freshness of information (AoI) in IoT paradigm. The proposed scheme utilizes deep reinforcement learning for UAV trajectory planning to achieve optimal system-level AoI. Simulation results show the effectiveness of the proposed approach compared to existing methods.
2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
(2022)
Article
Engineering, Electrical & Electronic
Xueqing Huang, Nirwan Ansari, Siqi Huang, Wenjia Li
Summary: This paper investigates the benefits of local information exchange in enhancing performance and security in the Internet of Things (IoT). By leveraging proprietary physical layer channel information to extract keys, the proposed model can flexibly incorporate dynamic information flows and quantify information leakage caused by wireless broadcasting. The rigorously defined and derived security metrics have been verified using real-world collected wireless channel data, demonstrating previously inconceivable security properties of the model.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2022)
