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A Random Walk-Based Energy-Aware Compressive Data Collection for Wireless Sensor Networks
2020
Wireless Communications and Mobile Computing
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The energy efficiency for data collection is one of the most important research topics in wireless sensor networks (WSNs). ...
In this paper, we proposed a compressive data collection scheme based on random walks, which exploits the compressibility of data vectors in the network. ...
Acknowledgments This work was supported in part by the National Natural Science Foundation of China under Grants 61701441 and 61801427 and 2020 Undergraduate Training Program for Innovation and Entrepreneurship ...
doi:10.1155/2020/8894852
fatcat:wzaza5sodrhsdf4xyh455csitq
Integration of Compressive Sensing and Clustering in Wireless Sensor Networks using Block Tridiagonal Matrix Method
2019
International Journal of Engineering and Advanced Technology
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The most dominant applications of wireless sensor networks (WSNs) is Environmental monitoring, it generally needs long time to operate. ...
The proposed framework furnishes the real world data demonstration which can be utilized to get the simulation results for a solution of cost effective for the applications on basis of cluster in WSNs ...
are the major focus with the length of each random walk, for collecting the collect random measurements this has been being required a sensor data k-sparse that can be reconstructed. ...
doi:10.35940/ijeat.f1220.0886s219
fatcat:cvd2kkar7ngoliqguckvfumxwq
Pattern-based matrix-size optimization algorithm for compressive sensing in real-world wireless sensor networks
2012
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems - SenSys '12
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Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks Summary Compressive Sensing (CS) is a novel approach for data representation, which can represent ...
For these characteristics, CS is very suitable for low power sensor nodes to save power consumption that is a primary problem in Wireless Sensor Networks (WSN). ...
Based on the scenario (described as above 7.1.1), we attached sensors to 3 users and collect acceleration data for each pattern. ...
doi:10.1145/2426656.2426705
dblp:conf/sensys/ItoNNT12
fatcat:sb4b7dmezbaprovabsfoed7usm
Phenomena discovery in WSNs: A compressive sensing based approach
2013
2013 IEEE International Conference on Communications (ICC)
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A Compressive Sensing (CS) based solution is proposed for centralized and distributed discovery of physical phenomena in large scale Wireless Sensor Networks (WSNs). ...
Unlike uniform sampling, random walk based sampling enables individual nodes achieve phenomenon awareness, i.e., the physical distribution of the phenomenon. ...
An energy efficient compressed sensing scheme for wireless sensor networks using spatiallylocalized sparse projections is proposed in [11] by using measurements from clusters of adjacent sensors in order ...
doi:10.1109/icc.2013.6654790
dblp:conf/icc/DhanapalaBPJ13
fatcat:w4lna34czjb23dq3bqn4gamfji
Applications of Prediction approaches in Wireless Sensor Networks
[chapter]
2021
Wireless Sensor Networks - Design, Deployment and Applications [Working Title]
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Wireless Sensor Networks (WSNs) collect data and continuously monitor ambient data such as temperature, humidity and light. ...
The continuous data transmission of energy constrained sensor nodes is a challenge to the lifetime and performance of WSNs. ...
A classic example of a cluster-based energy efficient UWSN is SEEC: Sparsity-aware energy efficient clustering protocol for underwater wireless sensor networks. ...
doi:10.5772/intechopen.94500
fatcat:b6r7n74bxvcajffbyvoekm5fmq
Classifier-Based Data Transmission Reduction in Wearable Sensor Network for Human Activity Monitoring
2020
Sensors
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This paper presents a new method for extending the lifetime of the wearable sensor networks by avoiding unnecessary data transmissions. ...
This approach was implemented in a prototype of wearable sensor network for human activity monitoring. ...
Data Compression In order to reduce the amount of data transmitted in wireless sensor network, the collected data can be compressed before transmission. ...
doi:10.3390/s21010085
pmid:33375625
fatcat:ymrwnknzhfhfrfj6vtajoibbly
A Data Collection Method for Mobile Wireless Sensor Networks Based on Improved Dragonfly Algorithm
2022
Computational Intelligence and Neuroscience
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of mobile wireless sensor networks based on the improved dragonfly optimization algorithm. ...
For the sensing layer of the Internet of Things, the mobile wireless sensor network has problems such as limited energy of the sensor nodes, unbalanced energy consumption, unreliability, and long transmission ...
In this work, a data collection strategy for wireless sensor networks based on energy efficiency and collaborative optimization is proposed. ...
doi:10.1155/2022/4735687
fatcat:rlod3hb5vjgunfgyfnmxuxkcq4
A Collaborative Data Collection Scheme Based on Optimal Clustering for Wireless Sensor Networks
2018
Sensors
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In recent years, energy-efficient data collection has evolved into the core problem in the resource-constrained Wireless Sensor Networks (WSNs). ...
By comparing it o the existing compression-based and non-compression-based data collection schemes, the average reductions of energy consumption are 17.9% and 67.9%, respectively. ...
the data collection of wireless sensor networks. ...
doi:10.3390/s18082487
pmid:30071592
fatcat:55t6lgzdxbgkliuvv7vg24vrvu
An Energy-Efficient Compressive Sensing-Based Clustering Routing Protocol for WSNs
2019
IEEE Sensors Journal
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Index Terms-Wireless sensor networks; compressive sensing; the "hot spot problem"; energy efficiency ...
A novel algorithm which combined the merits of the Clustering strategy and the Compressive Sensing-based (CS-based) scheme was proposed in this paper. ...
Luo et, al. proposed a Compressive Data Gathering (CDG) framework for the large-scale wireless sensor network for the first time [29] . ...
doi:10.1109/jsen.2019.2893912
fatcat:q25273zhjvhydek6bhadsjdnl4
Special Issue on "Wireless Sensor Networks"
2009
Journal of Signal Processing Systems
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They presented a study of the impact of heterogeneous node connectivity on random walk-based queries. ...
They studied the problem of network lifetime maximization for QoS specific information retrieval for the reconstruction of a spatially correlated signal field in a wireless sensor network for two wireless ...
They presented a study of the impact of heterogeneous node connectivity on random walk-based queries. ...
doi:10.1007/s11265-009-0377-9
fatcat:d3p632wryncb5o7w3qbcwla23a
Study on Secrecy Capacity of Wireless Sensor Networks in Internet of Things based on the Amplify-and-Forward Compressed Sensing Scheme
2019
IEEE Access
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This paper offers a deep insight to the secrecy capacity of wireless sensor network and a calculable threshold of capacity based on the amplify-and-forward (AF) compressed sensing scheme. ...
The wireless sensor networks is a new technology for information acquisition and processing, which includes the techniques of sensor, computer, Internet of Things and network. ...
[33] proposed a new data acquisition scheme which is based on compressed sensing (CS) with on-demand explosion of random walks (RWs) for improving the lifespan of wireless sensor networks (WSNs) without ...
doi:10.1109/access.2019.2960603
fatcat:hhih7vpcjvdlnhihdlie447um4
Data Gathering Techniques in WSN: A Cross-Layer View
2022
Sensors
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Wireless sensor networks (WSNs) have taken a giant leap in scale, expanding their applicability to a large variety of technological domains and applications, ranging from the Internet of things (IoT) for ...
Data collection is commonly the core application in WSN and IoT networks, which are typically composed of a large variety of devices, some constrained by their resources (e.g., processing, storage, energy ...
[66] show that a random-walk-based sampling, rather than the conventional uniform-sampling-based CS for function recovery, can be used for phenomena awareness either at a sink or at other sensors without ...
doi:10.3390/s22072650
pmid:35408263
pmcid:PMC9002776
fatcat:x3mwuhes7nayhfp6z7geve5yfq
Data Aggregation and Multicast Authenticated Scheme for Wireless Sensor Networks
2020
International Journal for Research in Applied Science and Engineering Technology
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Data aggregation as a typical operation in data gathering application can cause a lot of energy wastage since sensor nodes, when not receiving data may keep in the listen state during the data collection ...
WSN consists of a large number of battery-powered wireless sensor nodesIn this research work routing is a major issue in ad hoc sensor network where the nodes consume more energy. ...
It is designed as a proper sparse basis based on diffusion wavelets to achieve high-fidelity recovery for data aggregated from deployed Wireless Sensor Networks. ...
doi:10.22214/ijraset.2020.32032
fatcat:xmjjzywb6jandjkuzqcowmtoxi
Research on Wireless Sensor Network Access Control and Load Balancing in the Industrial Digital Twin Scenario
2022
Journal of Sensors
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Wireless sensor networks which are based on distributed information processing technology are taking an increasingly key role in industrial digital twin scenarios. ...
that when the node distance is limited, the network energy consumption can be balanced as much as possible, and the network load is promoted. ...
When the participants move to some monitoring points to collect data, the movement of the monitoring points is similar to the random walk between nodes in WSNs to collect data. cov X i − X | X À Á = 〠 ...
doi:10.1155/2022/3929958
fatcat:s5d4a7jbd5fdbjxw73jx2px3sm
A Novel Approach to Provide Max Flow in WSN: A Review
2017
IJARCCE
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The main challenge in wireless sensor network deployment pertains to optimizing energy consumption when collecting data from sensor nodes. ...
It proposed a novel range-free localization algorithm for wireless sensor networks (WSN)s that is robust against the anisotropic signal attenuation induced by fading, shadowing, and interference, etc., ...
This paper proposes a new centralized clustering method for a data collection mechanism in wireless sensor networks, which is based on network energy maps and Quality-of-Service (QoS) requirements. ...
doi:10.17148/ijarcce.2017.6472
fatcat:hmakosc67zar7mjbwpass3wwk4
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