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A Convergence-Accelerated Distributed Time Synchronization Algorithm for Energy-Harvesting Wireless Sensor Networks

Qi Yang, Rongping Zheng, Junyu Guo, Tao Chen
2021 IEEE Access  
Time synchronization is an essential problem for energy-harvesting wireless sensor networks (EH-WSNs), which is closely related to efficient resource schedules, energy harvesting, data fusion, location  ...  This paper proposes a novel accelerated time co-synchronization algorithm based on the storage-and-prediction method to improve the convergence rate.  ...  Section III introduces energy-harvesting wireless sensor networks and the classical distributed time synchronization algorithm for EH-WSNs.  ... 
doi:10.1109/access.2021.3063023 doaj:b82d113c24fa4bc19a6c10624a76bb2c fatcat:pirscjk5tffupgp6v5tk55m3na

Distributed beamforming with one‐bit feedback and clustering for multi‐node wireless energy transfer

Jonghyeok Lee, SeongJun Hwang, Yong‐gi Hong, Jaehyun Park, Woo‐Jin Byun
2021 ETRI Journal  
We also analyze the energy harvesting outage probability of the proposed beamforming method, which provides insights into the design of wireless energy transfer networks with distributed beamforming.  ...  Unlike previous works focusing on distributed information beamforming using a single energy receiver (Rx) node, we developed a distributed energy beamforming method for multiple Rx nodes.  ...  Accordingly, by reducing the number of nodes that must be synchronized within a sub-cluster, we can accelerate the distributed beamforming process, which is desirable for massive IoT sensor networks. (  ... 
doi:10.4218/etrij.2019-0595 fatcat:h4nf4x2dbvaqxg5zeorzeyisuq

A Survey on Wireless Sensor Networks Based Structural Health Monitoring

Pradeep K G M, Dr.R.P.Singh and Dr.Soundara Rajan K
2020 International journal of modern trends in science and technology  
directionsand network design relatedconcepts like network scalability, energy harvesting, processing of data are also discussed.  ...  Structural health monitoring with the aid of wireless sensor networks has achieved analysis interest because of its capability to minimize the prices related to the implementation and maintenance of SHM  ...  INTRODUCTION Over the last decade wireless sensor networks have emerged as a powerful economical platform for connecting large networks of sensors.  ... 
doi:10.46501/ijmtst060842 fatcat:n43xhtdoh5drbcanozygkblt5e

Distributed Computation of Fair Packet Rates in Energy Harvesting Wireless Sensor Networks

Faycal Ait Aoudia, Matthieu Gautier, Olivier Berder
2017 IEEE Wireless Communications Letters  
In this letter, we propose a distributed algorithm for computation of fair packet rates for multi-hop energy harvesting wireless sensor networks.  ...  Energy harvesting is a key technology to enable long-term wireless sensor network applications.  ...  In this letter, we propose a distributed algorithm for computation of fair packet rates for multi-hop energy harvesting wireless sensor networks.  ... 
doi:10.1109/lwc.2017.2724512 fatcat:pza3jjiyb5eg7elkxs6b6wulwq

Papertitles

2020 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD)  
A comparative study between three epileptic high frequency oscillations detection strategies A comparison between two methods for MISO fractional models estimation A computational study to the optoelectronic  ...  time delay system On the design of the minimum functional observer-controller for nonlinear systems On the Parallel Processing for Wireless Sensors Converged Network Optical RECTENNA for Energy Harvesting  ...  properties of cyclopentadithiophene based material for OLEDThree Tank system Identification Based on Genetic Algorithm Time Synchronization on IoT devices in smart gridsToward a Binarization Framework  ... 
doi:10.1109/ssd49366.2020.9364261 fatcat:jfkx3pctprgupkjhzk5vkyopki

Optimal Power Control in Green Wireless Sensor Networks With Wireless Energy Harvesting, Wake-Up Radio and Transmission Control

Chinmaya Mahapatra, Zhengguo Sheng, Pouya Kamalinejad, Victor C.M. Leung, Shahriar Mirabbasi
2017 IEEE Access  
INDEX TERMS Green wireless sensor network (GWSN), wireless energy harvesting (WEH), wake-up radio (WUR), error control coding (ECC), subgradient algorithm.  ...  Wireless sensor networks (WSNs) are autonomous networks of spatially distributed sensor nodes that are capable of wirelessly communicating with each other in a multihop fashion.  ...  The procedure for solving the GWSN Algorithm 2 is outlined as follows: Now we discuss the convergence of our distributed algorithm for GWSN.  ... 
doi:10.1109/access.2016.2644607 fatcat:z3qwe5c5ira4fgqug3pmytgroy

2018 Index IEEE Transactions on Control of Network Systems Vol. 5

2018 IEEE Transactions on Control of Network Systems  
., +, TCNS Sept. 2018 1349-1360 Wireless sensor networks An Online Algorithm for Data Collection by Multiple Sinks in Wireless-Sensor Networks.  ...  ., +, TCNS March 2018 383-394 I-CSMA: A Link-Scheduling Algorithm for Wireless Networks Based on Ising Model.  ...  Dynamic programming Information theory Information Flow in a Boolean Network Model of Collective Behavior. Porfiri, M.,  ... 
doi:10.1109/tcns.2019.2896050 fatcat:gwrx5cntwrfdzaodscu5jvrdhe

Guest Editorial Special Issue on Internet of Things for Smart Ocean

Bin Lin, Lian Zhao, Himal A. Suraweera, Tom H. Luan, Dusit Niyato, Dinh Thai Hoang
2020 IEEE Internet of Things Journal  
In the article "Receiver-only-based time synchronization under exponential delays in underwater wireless sensor networks," Liu et al. considered time synchronization in underwater wireless sensor networks  ...  With the objective to adapt to a dynamic environment and prolong network life, two optimization strategies are proposed to accelerate the convergence of the RL algorithm.  ... 
doi:10.1109/jiot.2020.3020444 fatcat:delnh2fehzczffi5vqh6nblmaq

An Iterative Modal Identification Algorithm for Structural Health Monitoring Using Wireless Sensor Networks

Siavash Dorvash, Shamim N. Pakzad, Liang Cheng
2013 Earthquake spectra  
A novel modal identification approach for the use of a wireless sensor network (WSN) for structural health monitoring is presented, in which the computational task is distributed among remote nodes to  ...  reduce the communication burden of the network and, as a result, optimize the time and energy consumption of the monitoring system.  ...  CMMI-0926898 by Sensors and Sensing Systems Program and by a grant from the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology  ... 
doi:10.1193/1.4000133 fatcat:33yvmvfksjgyzhm4yfzjj35bgu

DESIGN OF WIRELESS SENSOR NETWORK FOR AIRCRAFT HEALTH MONITORING

Zhang Chuanchao, School of Information Engineering,Wuhan University of Technology, Wuhan 430070,P.R.China,Aviation Industry Corporation of China,Ltd., Beijing 100028, PR.China.
2018 International Journal of Advanced Research  
Acknowledgment:- The author wish to thank those who had studied wireless sensor network,aircraft health monitoring, and structural health monitoring.  ...  This work was supported and inspired in part by a grant from them.  ...  For the communication requirements of real-time, reliability, and energy consumption of clustering wireless sensor networks for aircraft health monitoring, literature [6] proposes a modified TDMA protocol  ... 
doi:10.21474/ijar01/8203 fatcat:75zn72ud5zhyhe7gqldemgpori

Power Considerations for Sensor Networks [chapter]

Khadija Stewart, James L.
2012 Telecommunications Networks - Current Status and Future Trends  
The appeal of Wireless Sensor Networks stems from the fact that you can deploy them and just leave. We discuss in the remainder of this section the main classes of applications for the general WSNs.  ...  Wireless sensor networks evolved form the Smartdust project, which was developed and funded by DARPA in the late 1990s.  ...  real-time sender-side MAC timestamp, 7) and it uses a distributed energy efficient algorithm for multi-hop synchronization.  ... 
doi:10.5772/34867 fatcat:pe6iovjrxbdw5oow4tewvp6qc4

Intelligent Rapid Adaptive Offloading Algorithm for Computational Services in Dynamic Internet of Things System

Li, Qin, Zhou, Cheng, Zhang, Ai
2019 Sensors  
For reducing algorithm execution time, we apply machine learning methods and construct an adaptive learning-based framework consisting of offloading decision-making, radio resource slicing and algorithm  ...  In particular, the offloading policy can be rapidly derived from an estimation algorithm based on a deep neural network, which uses an experience replay training method to improve model accuracy and adopts  ...  Acknowledgments: The authors appreciate all the reviewers and editors for their precious comments and work on this article. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19153423 fatcat:bdm46rr44zfsppv2ecysnvnzbm

Sustainable Forest Management Techniques [chapter]

K.P. Chethan, Jayaraman Srinivasan, Kumar Kriti, Kaki Sivaji
2012 Deforestation Around the World  
A k-node coverage problem in WSN for forest fire detection was studied and a approximation algorithm was proposed which had better convergence, promised optimal number of sensor usage and doubled the network  ...  Life time of network is increased by adopting RF energy harvesting technique for recharging the sensor nodes.  ... 
doi:10.5772/35823 fatcat:7qef5dnzsbfo5odqeh4gbwvvla

Supply and Demand Oriented Energy Management in the Internet of Things

Qingjuan Li, Hong Liu, Huansheng Ning, Yang Fu, Songde Hu, Shunkun Yang
2016 Advances in Internet of Things  
In this work, a taxonomy model is established in reference to the IoT layers (i.e., sensor-actuator layer, network layer, and application layer), and IoT energy management is addressed from the perspectives  ...  In this context, energy management with the purposes of energy saving and high efficiency is a challenging issue.  ...  Acknowledgements This work was funded by the National Natural Science Foundation of China (61471035) and the Fundamental Research Funds for the Central Universities (06105031).  ... 
doi:10.4236/ait.2016.61001 fatcat:6tlbn7x4wfablgjs7etpkkscci

A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks

Yixiong Feng, Yong Wang, Hao Zheng, Shanghua Mi, Jianrong Tan
2018 Sensors  
Energy provisioning is always a crucial problem restricting the further development and application of smart industrial wireless sensor networks in smart factories.  ...  In this paper, we present that it is necessary to develop smart industrial wireless rechargeable sensor networks (SIWRSNs) in a smart factory environment.  ...  Acknowledgments: The authors would like to thank the associate editor and anonymous reviewers for their valuable comments and suggestions to improve this paper.  ... 
doi:10.3390/s18082591 pmid:30087308 fatcat:c3vr5dugxfd3hpt4eatwqapkp4
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