Article
Computer Science, Information Systems
Guangli Dai, Weiwei Wu, Kai Liu, Feng Shan, Jianping Wang, Xueyong Xu, Junzhou Luo
Summary: In energy harvesting communication systems, joint scaling of the transmission rate and sleep scheduling significantly increases the throughput. However, existing works often neglect the energy and time consumption required for booting a transmitter, which is not realistic. This paper investigates the impact of booting consumption on the joint rate and sleep scheduling and proposes optimal offline and online heuristic algorithms to solve the problem. Experimental results demonstrate that considering booting consumption leads to higher throughput in energy harvesting communication systems compared to algorithms that only consider rate scheduling or ignore booting consumption.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Hosein Azarhava, Javad Musevi Niya, Mohammad Ali Tinati
Summary: This paper investigates the resource allocation problem in a NOMA-based Wireless Energy Harvesting Sensor Network (WEHSN) to improve energy efficiency and system throughput. By converting the problem to a parametric form and applying the KKT conditions, a closed-form expression for optimization is derived. Numerical results show that the NOMA-based WEHSN outperforms the OFDMA and TDMA-based methods in terms of energy efficiency and throughput.
COMPUTER COMMUNICATIONS
(2023)
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
Engineering, Electrical & Electronic
Dipak Kumar Sah, Abhishek Hazra, Ramesh Kumar, Tarachand Amgoth
Summary: In this article, a modified Pro-energy prediction technique is proposed to control unnecessary errors in solar-based harvesting systems related to sensing devices. The proposed method uses prior energy measurements to show future energy status in respective time slots. Experimental observations validate the superior performance of the modified Pro-energy prediction technique compared to existing EMWA, WCMA, and Pro-energy methods.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Physical
L. Cremonese, G. K. Mbungu, R. Quitzow
Summary: Green hydrogen is seen as crucial for long-term decarbonization of global energy system. Regions with limited land resources will need to import green hydrogen from regions abundant in renewable energy. This poses sustainability concerns for producing countries. The paper reviews renewable energy deployment in the electricity sector and explores opportunities and risks of green hydrogen production in exporting countries. It emphasizes the importance of addressing issues like freshwater and land availability and developing international standards for hydrogen-related projects.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Thermodynamics
Mohammad Rehan, Muhammad Amir Raza, Abdul Ghani Abro, M. M. Aman, Iqbal Mohammad Ibrahim Ismail, Abdul Sattar Nizami, Muhammad Imtiaz Rashid, Ahmed Summan, Khurram Shahzad, Nadeem Ali
Summary: Pakistan has been struggling with electricity shortages since 2005, hindering the country's growth in agriculture, industry, and services sectors. This study used LEAP & REG; software to forecast Pakistan's energy mix from 2022-2050 under baseline and transformation scenarios. The baseline scenario focuses on increasing hydroelectric power, while the transformation scenario emphasizes the use of biomass. The study recommends the transformation scenario due to retiring hydro plants and limited budget for new constructions. By utilizing biomass-based distributed power generation, Pakistan could generate enough sustainable energy to meet future demand.
Article
Computer Science, Information Systems
Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato
Summary: Green communications are crucial for reducing energy overhead and fossil fuel usage in the information industry. With the advent of 5G and future 6G eras, the demand for green communications becomes even more urgent. Artificial Intelligence (AI) is recognized as the only solution to meet the stringent requirements of 6G while improving energy efficiency and network management. This paper provides an overview of AI-based green communications and discusses the potential research issues for AI models in the green 6G era.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Chemistry, Physical
Charlie Wilson, Simon De Stercke, Caroline Zimm
Summary: Granular energy technologies, with smaller unit sizes and costs, have advantages in faster deployment, job creation, and wider distribution of benefits compared to large-scale alternatives. A study analyzed 93 green recovery funding programs in France, Germany, South Korea, and the UK, and found that South Korea's program had the highest technological granularity, focusing on distributed renewables, smart technologies, and low-cost technologies that are quick to implement. The UK, on the other hand, concentrated public funds on a few mega-scale energy projects with high implementation risks, resulting in the least granular portfolio. The study demonstrates the importance of technological granularity in achieving green recovery goals.
Article
Chemistry, Analytical
Joao Junior, Moyses Lima, Leandro Balico, Richard Pazzi, Horacio Oliveira
Summary: Energy consumption is crucial in wireless sensor networks, with radio transmitters being the main power consumers. Using energy-aware protocols can optimize energy consumption by considering residual energy and available renewable energy information. The REBORN algorithm stands out in managing both residual and available energy compared to other energy-aware approaches.
Article
Green & Sustainable Science & Technology
Syed Muhammad Mohsin, Tahir Maqsood, Sajjad Ahmed Madani
Summary: The objective of this study is to develop a harmony search algorithm (HSA)-optimized artificial neural network (ANN) model for reliable and accurate prediction of solar and wind energy. Extensive simulations prove the superiority of our proposed HSA-optimized ANN models compared to state-of-the-art solar and wind energy forecasting techniques.
Article
Green & Sustainable Science & Technology
Ka Yin Chau, Massoud Moslehpour, Yu-Te Tu, Nguyen Tan Tai, Nguyen Hoang Tien, Pham Quang Huy
Summary: This article reports on an empirical investigation into the impact of green energy exploration and consumption on the sustainability of natural resources in G7 countries. The results show a positive relationship between green energy and the sustainability of natural resources. This study has both theoretical and practical significance for policy formulation and implementation regarding natural resource sustainability.
Article
Engineering, Electrical & Electronic
He Xiao, Hong Jiang, Li-Ping Deng, Ying Luo, Qiu-Yun Zhang
Summary: The UAV-assisted energy harvesting cognitive wireless network is a significant communication technology in the 5G/6G era, with features such as fast layout, remarkable spectrum efficiency, and energy efficiency. This study focuses on an UAV-assisted energy harvesting cognitive radio network, where the UAV performs spectrum sensing and communication, and replenishes energy through renewable sources. Using the concept of outage rate to ensure spectrum efficiency requirements, the goal is to maximize the outage energy efficiency under energy, transmission power, and interference power constraints.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Hang Yu, Kwan-Wu Chin
Summary: This article discusses the collection and processing of data by solar-powered servers in an Internet of Things (IoT) network. It proposes a mixed-integer linear program (MILP) to optimize the sensing time of sensor devices, offloading decision of servers, and the number of virtual machines (VMs) assigned to each device. Additionally, it introduces a multiagent co-operative Q-learning approach coupled with the Hungarian algorithm to assign VMs to devices. Simulation results show that co-operative Q-learning can process 93% of the data compared to MILP.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Sai Krishna Mothku, Rashmi Ranjan Rout
Summary: In this paper, a fuzzy based adaptive duty cycling algorithm is proposed to achieve network sustainability in harvesting sensor actor networks. The algorithm considers current residual energy, predicted harvesting energy, and predicted residual energy parameters as fuzzy input variables to estimate duty cycle for a sensor node. Simulation results demonstrate the efficacy of the proposed mechanism in achieving network sustainability.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Telecommunications
Yuan Gao, Haixia He, Rongjun Tan, Junho Choi
Summary: A combined spatial-temporal energy harvesting and relay selection scheme is proposed to improve the energy efficiency and spectrum utilization of Cognitive Wireless Powered Networks. The setting of a two-layer guard zone effectively reduces the outage probability of the Primary User and improves the EE of CWPNs, while relay selection transmission decreases the outage probabilities of the Secondary Users.
DIGITAL COMMUNICATIONS AND NETWORKS
(2021)
Article
Engineering, Electrical & Electronic
Biplob Hossain, Alamgir Kabir, Mizanur Rahman, Sourav Roy, Lway Faisal Abdulrazak, Sanwar Hossain, Nibir Mondol, Mohammed Hadifur Rahman, Khondoker Ziaul Islam, M. Ilius Pathan
Summary: This paper introduces a high-performance refractive index SPR sensor based on MoS2-graphene hybrid layer, which demonstrates improved angular sensitivity, SNR, and quality factor through optimized gold layer thickness and coating layers. The analysis of DNA hybridization using this sensor is also discussed towards the end of the paper.
OPTICAL AND QUANTUM ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Md. Sanwar Hossain, Khondoker Ziaul Islam, Abdullah G. Alharbi, Md Shafiullah, Md. Rabiul Islam, Afef Fekih
Summary: This paper examines the techno-economic feasibility of developing grid-tied solar photovoltaic (PV)/biomass generator (BG)-powered heterogeneous networks in Bangladesh and determines the optimum system architecture, economic and environmental analysis through a hybrid optimization model. The performance analysis of the proposed architecture confirms its energy efficiency, economic soundness, reliability, and environmental friendliness.
Review
Computer Science, Hardware & Architecture
Abu Jahid, Mohammed H. Alsharif, Trevor J. Hall
Summary: Due to the growth of high-speed multimedia services and applications initiated from IoT devices, the existing RF spectrum is insufficient. Free space optical communication systems have emerged as a promising solution to overcome this spectrum scarcity. However, the link reliability of FSO systems is affected by various environmental factors.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Chemistry, Analytical
Sana Amjad, Shahid Abbas, Zain Abubaker, Mohammed H. Alsharif, Abu Jahid, Nadeem Javaid
Summary: This paper proposes a blockchain-based node authentication model for the Internet of sensor things. The model utilizes DDR-LEACH protocol, IPFS external data storage, AES 128-bit encryption, and proof of authority consensus mechanism to enhance efficiency, security, and cost-effectiveness. Simulation results demonstrate the effectiveness of the proposed system model, with DDR-LEACH outperforming LEACH in terms of energy consumption, throughput, and network lifetime improvement. Moreover, the use of PoA reduces transaction cost and formal security analysis validates the system's resilience against cyber attacks.
Article
Computer Science, Information Systems
Asutosh Mohanty, Bikash Ranjan Behera, Karu P. Esselle, Mohammed H. Alsharif, Abu Jahid, Syed Agha Hassnain Mohsan
Summary: In this research article, a dual-polarized compact bow-tie-shaped irregular fractal antenna with a dual metasurface (DMS) is designed for directional radiation applications. With induced coupling modes, the antenna operates in different frequency ranges. A rectangular cavity-backed slot is employed to eliminate reflection and initiate coupling, resulting in high gain and suppressed backward radiations.
Review
Chemistry, Analytical
Syed Agha Hassnain Mohsan, Qurat ul Ain Zahra, Muhammad Asghar Khan, Mohammed H. Alsharif, Ismail A. Elhaty, Abu Jahid
Summary: This research examines the potential of new technologies such as drones in combating the COVID-19 pandemic. Drones can transport supplies, spray disinfectants, and broadcast communications, providing innovative methods for fighting the disease.
Article
Computer Science, Information Systems
Rizwan Abbas, Gehad Abdullah Amran, Syed Agha Hassnain Mohsan, Mohammed H. Alsharif, Abu Jahid, Mohamed Marey, Hala Mostafa
Summary: This study proposes a method for quickly planning an IoT framework, which predicts users' future emotions based on data collected from IoT devices and provides corresponding activities to evoke positive emotions.
Article
Energy & Fuels
Khondoker Ziaul Islam, Md. Sanwar Hossain, B. M. Ruhul Amin, G. M. Shafiullah, Ferdous Sohel
Summary: This paper proposes a renewable energy based power supply architecture for the off-grid HetNet using a novel energy sharing model. The architecture utilizes solar photovoltaics and sufficient energy storage devices for each base station, along with a biomass generator for certain base stations. The proposed algorithms for resource-scheduling and power saving mode improve energy efficiency and extend battery lifetime for IoT devices.
Article
Computer Science, Information Systems
Arun Kumar, J. Venkatesh, Nishant Gaur, Mohammed H. Alsharif, Abu Jahid, Kannadasan Raju
Summary: More spectrum bands are needed due to the increase in wireless applications. However, adapting the spectrum bands to new applications has become difficult, leading to a crowded spectrum and decreased quality of service. Cognitive radio, specifically spectrum sensing, is a promising technology to address this issue. In this study, a novel 5G spectrum sensing technique using a hybrid matched filter algorithm was implemented, and its performance was compared to traditional matched filtering in different channels. The hybrid matched filter demonstrated superior effectiveness in both Rayleigh and Rician channels.
Article
Energy & Fuels
Manish Kumar Singla, Jyoti Gupta, Mohammed H. Alsharif, Abu Jahid
Summary: This article presents a cost-effective and reliable solution for meeting the energy demands of remote areas through the integration of multiple renewable energy sources. The proposed system aims to reduce dependence on fossil fuels and promote sustainable development by utilizing accessible energy resources in a self-contained microgrid. The study used HOMER software to optimize the combination of energy sources and storage technologies, and identified that the solar PV/fuel cell combination is more cost-effective, reliable, and efficient compared to the solar PV/battery combination. The proposed IHRES model offers a promising solution for meeting energy demands in remote areas while reducing dependence on fossil fuels and promoting sustainable development.
Article
Chemistry, Analytical
Anupma Gupta, Vipan Kumar, Dinesh Garg, Mohammed H. Alsharif, Abu Jahid
Summary: Terahertz imaging is the most important technique for early-stage breast cancer detection, as it reduces breast cancer-related fatalities and improves quality of life. The choice of the right sensor is crucial for the development of a high-quality THz imaging system.
Review
Multidisciplinary Sciences
Mohammed. H. H. Alsharif, Abu Jahid, Anabi Hilary Kelechi, Raju Kannadasan
Summary: The rise of the internet of things has had a significant impact on the economy and environment due to the billions or trillions of interconnected devices. Energy consumption becomes a crucial issue with the use of sensors, and thus, developing energy-efficient and sustainable solutions for IoT is necessary. This article examines energy-efficient practices and strategies for IoT, focusing on four framework principles including M2M communications, WSN, RFID, and microcontroller units and ICs, aiming to contribute to the implementation of eco-sustainable and energy-efficient IoT technologies in the future.
Article
Computer Science, Information Systems
Bikash Ranjan Behera, Sanjeev Kumar Mishra, Mohammed H. Alsharif, Abu Jahid
Summary: Due to the widespread use of low-power embedded devices, research into alternate energy sources is necessary. RF energy is always considered due to its accessibility. A comprehensive study on a reflective-inspired reconfigurable antenna integrated with a rectifier circuit is reported, providing broadband circular polarization and directional radiation. The findings highlight the potential for addressing limitations in RF energy harvesting.
Review
Energy & Fuels
Manish Kumar Singla, Jyoti Gupta, Parag Nijhawan, Amandeep Singh Oberoi, Mohammed H. H. Alsharif, Abu Jahid
Summary: This manuscript provides a comprehensive review of unitized regenerative fuel cells (URFCs) and their significance in Remote Area Power Supply (RAPS). URFCs offer a potential solution to reduce the expenses of solar hydrogen renewable energy systems in RAPS by combining the functionalities of the electrolyzer and fuel cell into a single unit. They are particularly well-suited for RAPS applications as the electrolyzer and fuel cell do not need to operate simultaneously.
Article
Chemistry, Analytical
Anupma Gupta, Vipan Kumar, Shonak Bansal, Mohammed H. Alsharif, Abu Jahid, Ho-Shin Cho
Summary: This study aims to design a compact antenna structure suitable for implantable devices in a wide frequency range, covering various bands such as ISM, WMTS, UWB, and Wi-Fi. The proposed antenna demonstrates superior performance in terms of size, bandwidth, gain, and SAR values compared to existing tri-band implantable antennas.
