Article
Computer Science, Hardware & Architecture
Ozkan Arapoglu, Orhan Dagdeviren
Summary: Energy efficiency and fault tolerance are important issues in WSN, where CDS is used as a virtual backbone to prolong network lifetime. This study introduces a fault-tolerant distributed algorithm for constructing CapCDS, the first self-stabilizing CapCDS algorithm.
COMPUTER STANDARDS & INTERFACES
(2021)
Article
Computer Science, Information Systems
Ipek Abasikeles-Turgut
Summary: This paper proposes a fully distributed, multi-hop intra and inter-cluster communication based static clustering scheme (MI(2)RSDiC) for WSNs. The approach suggests limited re-evaluation opportunity to the nodes in clustering phase, adaptive threshold-based cluster head alteration for energy efficiency, and multi-hop communication at every transmission stage to support large-scale WSNs. Experimental results show that MI(2)RSDiC yields the highest lifetime of the network with achieving the least energy consumption and the largest amount of collected data among the equivalent approaches.
Article
Computer Science, Hardware & Architecture
Yasin Yigit, Vahid Khalilpour Akram, Orhan Dagdeviren
Summary: The paper proposes algorithms based on BFST for routing and link monitoring in Wireless Sensor Networks, demonstrating lower energy consumption through extensive evaluations on testbed experiments and simulations.
Article
Computer Science, Information Systems
Bo Zeng, Chaofeng Zhao, Yongxin Zhang, Jie Sun, Xiaofeng Gao
Summary: This study proposes a lightweight and flexible clustering algorithm based on sectors to optimize energy efficiency by dividing the area into virtual sectors and creating even sector clusters using the sector decomposition method.
Article
Computer Science, Information Systems
Peyman Neamatollahi
Summary: This paper proposes an energy-efficient distributed algorithm for clustering wireless sensor networks. It utilizes partial clustering and multi-criterion cluster formation techniques to efficiently utilize sensor nodes' energy, reducing clustering overhead. The algorithm selects suitable cluster head and member nodes based on their remaining energy and scores, and experiments show its superiority in energy savings and network lifetime.
Article
Computer Science, Hardware & Architecture
Chi Zhang, Liangli Zhen, Joey Zhou, Cen Chen
Summary: A two-tier AI system is proposed in this study to monitor distributed energy infrastructures effectively by deploying different types of AI models on edge devices and central servers, improving the ability for accurate predictions.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Mathematics
Yongsheng Rao, Saeed Kosari, Janakiraman Anitha, Indra Rajasingh, Hossein Rashmanlou
Summary: This paper computes the power domination number and the zero forcing number for fully connected cubic networks.
Article
Engineering, Electrical & Electronic
Yadong Gong, Guoming Lai
Summary: In this paper, a centralized clustering protocol called Low-Energy Dynamic Clustering (LEDC) is proposed to enhance the energy efficiency in query-based wireless sensor networks (WSNs). LEDC utilizes prediction-based scheme and centralized optimal dynamic cluster formation algorithms to match the distribution of clusters with that of query targets, and suggests an energy-aware forwarding strategy and a parallel processing algorithm to improve energy efficiency and network throughput.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Analytical
Salim Bouamama, Christian Blum, Pedro Pinacho-Davidson
Summary: Finding dominating sets in wireless sensor networks is important for extending network lifetime. This paper proposes a population-based iterated greedy algorithm to solve the weighted maximum disjoint dominating sets problem. The algorithm outperforms existing techniques in terms of energy conservation.
Article
Engineering, Civil
Nathan Goulet, Beshah Ayalew
Summary: The paper proposes a distributed predictive control framework for connected and automated vehicles (CAVs) in mixed traffic, with a focus on coordination planning and distributed speed assignment. The framework was extensively evaluated in traffic micro-simulations at various CAV penetrations, showing improvements in traffic flow, energy use, and lane utilization compared to a baseline scenario with no CAVs.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Dawei Pi, Pengyu Xue, Boyuan Xie, Hongliang Wang, Xiaolin Tang, Xiaosong Hu
Summary: This article presents a distributed model predictive control (DMPC) algorithm with energy management for the electric vehicle platoon. A braking force distribution strategy is proposed for the following vehicles (FVs) in the platoon, and the optimal energy recovery braking force distribution is adopted. Through simulation analysis, it is demonstrated that the proposed algorithm has satisfactory speed and trajectory tracking performance, platoon stability, and driving comfort.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Computer Science, Information Systems
Joannes Sam Mertens, Laura Galluccio, Giacomo Morabito
Summary: This work introduces the i-WSN League framework, which is a comprehensive hardware/software framework for distributed training and inference. The framework combines gossiping and clustering to adapt the operations executed by each node to its capabilities, aiming to minimize energy consumption in resource-limited nodes while preserving accuracy.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Niayesh Gharaei, Yasser D. Al-Otaibi, Suhail Ashfaq Butt, Sharaf Jameel Malebary, Sabit Rahim, Gul Sahar
Summary: By optimizing the moving trajectory and charging time of the wireless mobile charger, the proposed schemes remarkably enhance the network performance in terms of different evaluation metrics, improving energy efficiency and network lifetime.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Information Systems
Dongxiao Yu, Yifei Zou, Jiguo Yu, Yong Zhang, Feng Li, Xiuzhen Cheng, Falko Dressler, Francis C. M. Lau
Summary: This study proposes a comprehensive dynamic model that defines dynamicity in terms of localized topological changes near each node and uses a more realistic SINR model to describe wireless interference. The developed distributed algorithm demonstrates good performance in realistic environments with dynamic network behaviors, paving the way for new fast algorithms to solve high-level problems in dynamic networks.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Muhammed Ali Aydin, Baybars Karabekir, Abdul Halim Zaim
Summary: The paper proposes two algorithms to improve energy efficiency in Wireless Sensor Networks, focusing on sensor clustering and the use of a mobile sink. By dividing sensor nodes into clusters and selecting cluster heads using a greedy approach and artificial neural network methods, as well as calculating the mobile sink's route list with a genetic algorithm, the network lifespan can be extended effectively. Simulation results demonstrate that the proposed models enhance energy efficiency and prolong the network lifespan.
Article
Computer Science, Interdisciplinary Applications
Xianmin Liu, Yingshu Li, Jianzhong Li, Yuqiang Feng
Summary: In this paper, the problem of inconsistent data and repair strategies are discussed, focusing on the formalization and study of the repair position selection problem (RPS) with different repair strategies considered.
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2021)
Article
Computer Science, Hardware & Architecture
Yingjie Wang, Yang Gao, Yingshu Li, Xiangrong Tong
Article
Automation & Control Systems
Saide Zhu, Zhipeng Cai, Huafu Hu, Yingshu Li, Wei Li
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2020)
Article
Computer Science, Theory & Methods
Xianmin Liu, Jianzhong Li, Yingshu Li, Yuqiang Feng
Summary: This article discusses the importance of managing partially complete data, presents the problem of completeness reasoning, and explores solutions to this problem from the perspective of parameterized complexity. This research provides a new perspective for further development in the field of data management.
THEORETICAL COMPUTER SCIENCE
(2021)
Article
Computer Science, Information Systems
Chuanxiu Chi, Yingjie Wang, Yingshu Li, Xiangrong Tong
Summary: This paper studies crowdsourcing scenarios in mobile edge computing and designs a long-term incentive mechanism based on game theory to ensure the long-term participation of users and high quality of tasks.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Ji Li, Akshita Maradapu Vera Venkata Sai, Xiuzhen Cheng, Wei Cheng, Zhi Tian, Yingshu Li
Summary: This paper proposes two approximation algorithms to process skyline query in IoT networks, and experiments show that these algorithms have high performance in terms of energy consumption.
TSINGHUA SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Tongxin Zhu, Xiuzhen Cheng, Wei Cheng, Zhi Tian, Yingshu Li
Summary: The Internet of Things enabled Cyber-Physical System is a promising technology applied in various fields. This paper investigates PCA based data compression to maximize compression ratio while maintaining a bounded reconstruction error in IoT enabled CPSs. The proposed algorithms are verified through extensive simulations.
MICROPROCESSORS AND MICROSYSTEMS
(2022)
Article
Computer Science, Information Systems
Tongxin Zhu, Jianzhong Li, Hong Gao, Yingshu Li
Summary: A novel network called battery-free wireless sensor network (BF-WSN) is proposed to overcome the limitations of battery-powered wireless sensor networks. In BF-WSNs, battery-free sensor nodes harvest energy from the environment instead of relying on batteries, allowing them to have unlimited energy consumption. However, they still face challenges in terms of energy harvesting rates and capacities. This paper focuses on the Minimum-Latency Aggregation Scheduling problem in BF-WSNs, which is proved to be NP-hard. A Data Aggregation Scheduling algorithm is proposed to address the problem, and theoretical analysis and extensive simulations are conducted to evaluate its performance.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Changuk Jang, Juhong Han, Akshita Maradapu Vera Venkata Sai, Yingshu Li, Okyeon Yi
Summary: This paper discusses the requirements and challenges of Subscription Concealed Identifier (SUCI) and 5G Subscriber Identity Deconcealing Function (SIDF) in 5G communication. To achieve encryption and decryption of SUCI, the paper proposes a method of constructing 5G SIDF in the mMTC IoT environment, with the key technique being the use of GPUs for parallel processing.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Chenyu Wang, Yingshu Li
Summary: With the increasing number of products, budget and testing risk significantly limit the product development process. Digital twin provides an integrated view of the product design process. This article proposes a DT-aided IoT platform design framework for handling tasks of IoT devices through machine learning, addressing challenges in network management and data scarcity.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Zhuoran Lu, Yingjie Wang, Xiangrong Tong, Chunxiao Mu, Yu Chen, Yingshu Li
Summary: This article studies the problem of selecting the least number of workers in a mobile crowd sensing (MCS) system to execute sensing tasks more effectively while meeting certain constraints. A many-objective worker selection method is proposed, and an optimization mechanism is designed based on the enhanced differential evolution algorithm to ensure data integrity and search solution optimality. The effectiveness of the proposed method is verified through experimental evaluation datasets collected from the real world.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Information Systems
Chenyu Wang, Zhipeng Cai, Yingshu Li
Summary: As the number of IoT devices increases, sustainability is becoming a bottleneck in industrial systems. Digital twin (DT) technology plays a promising role in facilitating interaction between IoT assets and digital services. However, high-fidelity models of DTs require efficient data flows, which are limited by factors such as data collection strategy and energy supply.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Zhipeng Cai, Quan Chen, Tuo Shi, Tongxin Zhu, Kunyi Chen, Yingshu Li
Summary: Battery-free wireless sensor network (BF-WSN) is a new network architecture proposed to solve the lifetime limitation problem of conventional WSNs. BF-WSN can harvest energy from environmental resources or power stations, resulting in an unlimited lifetime in terms of energy. Its specific properties have brought new challenges in energy management, networking, and data acquisition. This survey aims to summarize and analyze the existing algorithms and applications of BF-WSNs.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Tongxin Zhu, Jianzhong Li, Hong Gao, Yingshu Li, Zhipeng Cai
Summary: This paper investigates the problem of AoI minimization data collection scheduling for BF-WSNs, proposes an optimal offline algorithm and an online algorithm, and analyzes their theoretical optimality and competitive ratio. Numerical results are provided to verify the performance of the proposed algorithms.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Tuo Shi, Zhipeng Cai, Yingshu Li
Summary: This paper investigates how to process numerous concurrent top-k queries on an edge server in a cost-efficient manner. The concept of query recombination is proposed to reduce resource consumption, and three approximate algorithms are proposed. Simulations show that the proposed algorithms are effective and efficient.
2022 IEEE 42ND INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2022)
(2022)