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
Computer Science, Information Systems
Rami Hamdi, Mingzhe Chen, Ahmed Ben Said, Marwa Qaraqe, H. Vincent Poor
Summary: This article investigates the deployment of federated learning in an energy harvesting wireless network. A joint energy management and user scheduling method is proposed to minimize the training loss of federated learning. The original optimization problem is simplified and solved based on the analysis of federated learning convergence rate. Simulation results show that the proposed algorithm can reduce the training loss.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Rajni Gupta, Juhi Gupta
Summary: This paper discusses the potential benefits of applying game theory in wireless communication, highlighting the importance of cooperative and non-cooperative games, Q-learning, and reinforcement learning in different application areas. It also addresses various design and optimization challenges.
COMPUTER COMMUNICATIONS
(2022)
Article
Agronomy
Emad S. Hassan
Summary: This paper proposes an energy-efficient resource allocation algorithm (EERAA) to prolong the lifetime of a WSN-based smart irrigation system under realistic scenarios. In the proposed algorithm, power allocation and subcarrier assignment are performed consecutively, considering the impact of intercarrier interference (ICI) caused by timing offset. The obtained results reveal that the proposed algorithm can reduce the network energy consumption by up to 30% while maintaining a high level of system performance in terms of secondary users' (SUs) averaged capacity.
Article
Telecommunications
Huilong Jin, Xiaozi Jin, Yucong Zhou, Pingkang Guo, Jie Ren, Jian Yao, Shuang Zhang
Summary: This article comprehensively reviews the methods to improve the energy efficiency of UAV communication through UAV trajectory planning and deployment, resource allocation and management, energy saving communication protocol design, and UAV energy harvesting and transfer. It also proposes some promising research directions.
VEHICULAR COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Ruohan Wang, Yunlong Chen, Entang Li, Lixuan Che, Hongwei Xin, Jing Li, Xueyao Zhang
Summary: Under the trend of green development, distributed energy systems using clean energy have become the key to research in the energy field. This paper proposes a blockchain-based smart grid system to solve the problems in distributed energy trading systems and enable efficient energy trading and consensus optimization. The proposed energy trading scheme shows good performance in terms of rewards, motivating all parties to actively participate in trading and maintaining the balance of the system.
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Weidang Lu, Xiaohan Xu, Guoxing Huang, Bo Li, Yuan Wu, Nan Zhao, F. Richard Yu
Summary: Smart agriculture utilizes wireless sensor networks to optimize information resources, improve product quality, and enhance productivity. SWIPT technology effectively extends the lifetime of sensor networks by addressing energy consumption issues. Green communication and energy efficiency optimization are achieved through subcarrier pairing and power allocation optimization.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Yigit Tuncel, Ganapati Bhat, Jaehyun Park, Umit Y. Ogras
Summary: Energy harvesting provides an attractive and promising mechanism for powering low-energy devices. However, it alone cannot achieve energy-neutral operation. To address this challenge, we propose a framework that optimizes energy allocation using a sequential algorithm, achieving higher utility under energy-limited scenarios.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Xin Liu, Su Hu, Ming Li, Biaojun Lai
Summary: This article proposes a Cognitive Industrial Internet of Things (CIIoT) with wireless energy harvesting (WEH) to achieve efficient resource allocation and maximize transmission rates while ensuring energy savings. By combining underlay and overlay spectrum access modes, a hybrid mode allows CIIoT to access both idle and busy spectrum without limiting transmission power, outperforming traditional underlay and overlay modes in terms of transmission rates and energy efficiency.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(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
Computer Science, Information Systems
Rukhsana Ruby, Hailiang Yang, Felipe A. P. de Figueiredo, Thien Huynh-The, Kaishun Wu
Summary: In traditional federated learning (FL), edge devices jointly train a machine learning model by communicating learning updates without exchanging data samples. In this study, a two-tier FL network is considered, where IoT nodes are the core clients, low altitude aerial platforms (UAVs) serve as model aggregators at the middle tier, and a high-altitude aerial platform (UAV with relatively high altitude) acts as the top-most layer aggregator. The energy-efficient computation and communication resource allocation in this network is addressed using an iterative algorithm that solves separate subproblems and then jointly solves the entire problem. Offline and online client scheduling schemes are proposed for optimal edge node selection and workload assignment based on data quality and workload constraints. Extensive simulations with real data verify the effectiveness of the proposed resource allocation scheme and highlight the importance of considering both computation, communication, and model divergence weight in FL performance.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Automation & Control Systems
Kawsar Ali, Daniel J. Rogers
Summary: Deploying energy harvesting-based wireless sensor nodes in challenging environments often means lack of control over node placement and orientation. This article introduces a smart WSN that operates independently of placement and orientation, sharing energy and information among cube faces to maximize energy harvesting and signal transmission.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Ziad Qais Al-Abbasi, Khaled M. Rabie, Daniel K. C. So
Summary: This paper investigates the energy efficiency optimization of a two-tier CRAN downlink based on NOMA, using PPP distribution for base station number and locations, and proposing an optimized solution and two power allocation techniques. Simulation results demonstrate promising performance gains compared to existing approaches.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Bin Zhao, Xiaohui Zhao
Summary: This paper proposes a wireless sensor network composed of several local subnetworks with amplified forwarding relay and specially designed working time cycle. The authors use deep reinforcement learning to develop resource allocation policies for maximizing throughput. Simulation results show that the proposed policies can significantly improve network performance.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Green & Sustainable Science & Technology
Hakpyeong Kim, Heeju Choi, Hyuna Kang, Jongbaek An, Seungkeun Yeom, Taehoon Hong
Summary: This study investigated research themes on smart homes and cities and identified barriers to the progression of smart homes to sustainable smart cities. Innovative solutions for advanced energy conservation systems in sustainable smart cities were suggested based on the results, emphasizing the importance of reflecting consumer behavior and energy and responding to future research challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
