Article
Engineering, Electrical & Electronic
Sahebeh Azar, Avid Avokh, Jamshid Abouei, Konstantinos N. Plataniotis
Summary: This paper addresses the problem of large-scale data collection in wireless sensor networks with multiple multi-interface mobile sinks. The proposed algorithm, DGM(2)S, aims to reduce energy consumption and delay by considering sink mobility and sink stopping for receiving aggregated data. It partitions the network into smaller sub-areas and employs an energy- and delay-efficient polling point selection strategy to collect data. Additionally, DGM(2)S utilizes a scheduling mechanism to optimize the use of multi-interface technology for data collection.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Niayesh Gharaei, Yasser D. Al-Otaibi, Sabit Rahim, Hassan J. Alyamani, Naveed Ali Khan Kaim Khani, Sharaf Jameel Malebary
Summary: In Surveillance Wireless Sensor Networks (SWSN), energy efficiency is a major concern due to limited battery capacity and harsh network accessibility. Wireless Rechargeable Sensor Networks (WRSN) have been proposed to address energy constraints, with Wireless Mobile Chargers (WMC) responsible for recharging sensor nodes. The proposed Broker-based Nodes Recharging Scheme (BNRS) introduces power banks as brokers to improve network lifetime and performance of SWSN.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
S. Radhika, K. Anitha, C. Kavitha, Wen-Cheng Lai, S. R. Srividhya
Summary: This paper aims to present an enriched clustering strategy to minimize the overhead caused by clustering, by formulating an effective cluster update schedule. It also focuses on the attacks that occur during an exchange of initialization messages with neighbors. Clustering of the network is carried out on the basis of the energy of sensor nodes, and a mechanism is included during an exchange of initialization messages that detects any malicious node pretending to be a neighbor node.
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
Xiaohuan Liu, Anfeng Liu, Shaobo Zhang, Tian Wang, Neal N. Xiong
Summary: This paper proposes a delay differentiated services routing (DDSR) scheme to reduce the deployment costs for wireless sensor networks (WSNs) with wake-up radio (WuR) functionality, while meeting the delay requirement of forwarding urgent data and maintaining a long lifetime.
INFORMATION SCIENCES
(2024)
Article
Telecommunications
Rashmi Mishra, Rajesh K. K. Yadav
Summary: Wireless Sensor Networks (WSNs) consist of tiny sensors distributed over the network, capable of sensing, processing, and transmitting data. The study aims to minimize power usage and extend the network lifespan using nature-inspired mechanisms. The proposed study utilizes the Butterfly Optimization Algorithm (BOA) to select the optimal number of cluster heads. Parameters such as remaining power, distance from other nodes and the base station, node centrality, and degree are considered for the cluster head selection. Particle swarm optimization (PSO) and Ant Colony Optimization (ACO) mechanisms are used to form the cluster head and choose the route, respectively. The performance of the protocol is evaluated based on stability period, active node quantity, data acknowledged by the base station, and overall power utilization.
WIRELESS PERSONAL COMMUNICATIONS
(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
Engineering, Electrical & Electronic
Sayan Sen Gupta, Neelesh B. Mehta
Summary: The study proposes a correlation-aware ordered transmissions scheme (CA-OTS) which achieves good performance in binary hypothesis testing problems. By using a timer scheme to transmit data in decreasing order of absolute measurement values, it reduces the number of transmissions.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Ke Zhang, Guang Zhang, Xiuwu Yu, Shaohua Hu, Moxiao Li
Summary: This paper proposes a cluster routing protocol based on energy-aware affinity propagation (CAP), which improves the energy efficiency and prolongs the network lifetime of wireless sensor networks (WSNs). The CAP protocol enhances network performance through an energy-aware affinity propagation clustering algorithm, inter-cluster relay selection method, and energy threshold re-cluster scheme.
Article
Computer Science, Information Systems
Ang Li, Wei Liu, Lijun Zeng, Chunji Fa, Yan Tan
Summary: The DTC-ORS-DA scheme reduces redundant data routing and guarantees data fusion rate by using differentiated threshold configuration and priority-based relay selection algorithm. It ensures delay lower than the deadline while improving energy utilization and network lifetime.
Article
Computer Science, Hardware & Architecture
Deepa Devassy, J. Immanuel Johnraja, Getzi Jeba Leelipushpam Paulraj
Summary: Wireless sensor networks are crucial in IoT applications and their lifespan depends on battery life. Clustering is a technique to increase network lifespan, and cluster head selection is vital. This study proposes a fusion cluster head selection algorithm combining LEACH protocol and dragonfly algorithm, which effectively extends network lifespan.
JOURNAL OF SUPERCOMPUTING
(2022)
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
Computer Science, Information Systems
Gerald K. Ijemaru, Kenneth Li-Minn Ang, Jasmine Kah Phooi Seng
Summary: This paper proposes energy-efficient swarm intelligence-based approaches for efficient mobile wireless charging in a distributed large-scale wireless sensor network. It investigates critical issues affecting efficient mobile wireless charging and proposes a node-partition algorithm based on cluster centroids to schedule multiple mobile chargers. Simulation experiments using SI-based routing protocols show the performance of the proposed scheme in terms of different evaluation metrics. The results demonstrate that SI-based techniques are a state-of-the-art approach for improved energy-efficient mobile wireless charging.
Article
Computer Science, Information Systems
P. Suman Prakash, K. Nagaraju, A. Vishnuvardhan Reddy, Shaik Fathimabi, Ebenezer Jangam, Surbhi Bhatia Khan, Areej Abbas Malibari
Summary: Wireless Sensor Networks (WSNs) are used to monitor specific areas of the environment by networking multiple sensors and collecting data for analysis. However, due to limited processing capabilities, the collected data needs to be transmitted to a Base Station (BS) that has high computational power and storage capacity. To address the challenges of congestion and energy consumption in multihop data transmissions, we propose a novel algorithm called CDEIR using the BUG algorithm, which identifies congested nodes and avoids traffic through them by paving an alternate path. The CDEIR approach minimizes delay, optimizes energy consumption, and avoids congestion within a short computational time, as demonstrated through theoretical analyses and simulations.
Article
Engineering, Electrical & Electronic
Zhiyi Qu, Huihui Xu, Xue Zhao, Hongying Tang, Jiang Wang, Baoqing Li
Summary: In this paper, an Energy-Efficient Dynamic Clustering (EEDC) protocol is proposed for event monitoring applications in large scale WSN, using a dynamic clustering method incorporating Rough Fuzzy C-Means and Genetic algorithm (RFCM-GA). The simulation results demonstrate that EEDC achieves higher energy efficiency and prolongs the network lifetime compared to existing approaches.
IEEE SENSORS JOURNAL
(2021)
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)
