READA: Redundancy Elimination for Accurate Data Aggregation in Wireless Sensor Networks

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Wireless Sensor Network

ISSN Print: 1945-3078
ISSN Online: 1945-3086
www.scirp.org/journal/wsn
E-mail: wsn@scirp.org

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"READA: Redundancy Elimination for Accurate Data Aggregation in Wireless Sensor Networks"
written by Kavi Khedo, Rubeena Doomun, Sonum Aucharuz,
published by Wireless Sensor Network, Vol.2 No.4, 2010

has been cited by the following article(s):

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[21]	Data Redundancy Implications in Wireless Sensor Networks
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[23]	The Effect of Packet Redundancy Elimination Technique in Sensor Networks.
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[37]	Redundancy elimination for data aggregation in wireless sensor networks
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[38]	DATA AGGREGATION TECHNIQUES OF WIRELESS SENSOR NETWORK INCREASING NETWORK LIFETIME USING READA
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[42]	CONCEALED DATA AGGREGATION AND EXPONENTIAL PARTICLE SWARM OPTIMIZATION FOR DELAY PERFORMANCE IN WIRELESS SENSOR …
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[43]	基于 GA 优化 BP 神经网络的 WSN 数据融合技术研究
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[52]	COMPARATIVE ANALYSIS OF VARIOUS DATA AGGREGATION TECHNIQUES IN WSN
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[54]	A data fusion approach based on compressed sensing theory for wireless sensor network
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[56]	The Research of Hierarchical Data Fusion Based on Three-tiers Wireless Sensor Networks for Urban Real Time Traffic Information Monitoring
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[1]	A Data Aggregation Approach Exploiting Spatial and Temporal Correlation among Sensor Data in Wireless Sensor Networks Electronics, 2022 DOI:10.3390/electronics11070989

[2]	Power-saving system designs for hexagonal cell based wireless sensor networks with directional transmission Journal of King Saud University - Computer and Information Sciences, 2022 DOI:10.1016/j.jksuci.2022.07.008

[3]	An edge computing based anomaly detection method in IoT industrial sustainability Applied Soft Computing, 2022 DOI:10.1016/j.asoc.2022.109486

[4]	Multivariate Outlier Detection for Forest Fire Data Aggregation Accuracy Intelligent Automation & Soft Computing, 2022 DOI:10.32604/iasc.2022.020461

[5]	An edge computing based anomaly detection method in IoT industrial sustainability Applied Soft Computing, 2022 DOI:10.1016/j.asoc.2022.109486

[6]	A novel optimization method for WSN based on mixed matrix decomposition of NMF and 2-SVD-QR Ad Hoc Networks, 2021 DOI:10.1016/j.adhoc.2021.102454

[7]	Reliable spatial and temporal data redundancy reduction approach for WSN Computer Networks, 2021 DOI:10.1016/j.comnet.2020.107701

[8]	EDCRA-IoT: Edge-based Data Conflict Resolution Approach for Internet of Things Pervasive and Mobile Computing, 2021 DOI:10.1016/j.pmcj.2020.101318

[9]	An efficient data aggregation and outlier detection scheme based on radial basis function neural network for WSN Journal of Ambient Intelligence and Humanized Computing, 2021 DOI:10.1007/s12652-020-02703-7

[10]	ESRRA-IoT: Edge-based spatial redundancy reduction approach for Internet of Things Internet of Things, 2021 DOI:10.1016/j.iot.2021.100388

[11]	Simulation of sports action monitoring based on feature similarity model Journal of Ambient Intelligence and Humanized Computing, 2021 DOI:10.1007/s12652-021-03046-7

[12]	AdaGUM: An Adaptive Graph Updating Model-Based Anomaly Detection Method for Edge Computing Environment Security and Communication Networks, 2021 DOI:10.1155/2021/9954951

[13]	Majority Decision Aggregation with Binarized Data in Wireless Sensor Networks Symmetry, 2021 DOI:10.3390/sym13091671

[14]	A novel optimization method for WSN based on mixed matrix decomposition of NMF and 2-SVD-QR Ad Hoc Networks, 2021 DOI:10.1016/j.adhoc.2021.102454

[15]	Efficient data aggregation with node clustering and extreme learning machine for WSN The Journal of Supercomputing, 2020 DOI:10.1007/s11227-020-03236-8

[16]	An adaptive method based on contextual anomaly detection in Internet of Things through wireless sensor networks International Journal of Distributed Sensor Networks, 2020 DOI:10.1177/1550147720920478

[17]	Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey International Journal of Communication Systems, 2020 DOI:10.1002/dac.4471

[18]	A novel data aggregation scheme based on self-organized map for WSN The Journal of Supercomputing, 2019 DOI:10.1007/s11227-018-2642-9

[19]	Data Redundancy Implications in Wireless Sensor Networks Procedia Computer Science, 2018 DOI:10.1016/j.procs.2018.05.036

[20]	Data Redundancy Implications in Wireless Sensor Networks Procedia Computer Science, 2018 DOI:10.1016/j.procs.2018.05.036

[21]	Energy Efficient Clustering in Heterogeneous Environment 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), 2018 DOI:10.1109/ICICCT.2018.8473296

[22]	Data aggregation in wireless sensor network using SVM-based failure detection and loss recovery Journal of Experimental & Theoretical Artificial Intelligence, 2017 DOI:10.1080/0952813X.2015.1132262

[23]	Energy-Efficient Wireless Sensor Networks 2017 DOI:10.1201/9781315155470-8

[24]	Energy-Aware Optimal Data Aggregation in Smart Grid Wireless Communication Networks IEEE Transactions on Green Communications and Networking, 2017 DOI:10.1109/TGCN.2017.2716619

[25]	Trust-based Cluster head validation and outlier detection technique for Mobile Wireless Sensor Networks 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016 DOI:10.1109/WiSPNET.2016.7566505

[26]	Distance Adaptive Threshold Sensitive Energy Efficient Sensor Network (DAPTEEN) protocol in WSN 2015 International Conference on Signal Processing, Computing and Control (ISPCC), 2015 DOI:10.1109/ISPCC.2015.7375008

[27]	Energy efficient reliable transmission using SVM based data aggregation & FEC based loss recovery in heterogeneous wireless sensor networks 2014 International Conference on Embedded Systems (ICES), 2014 DOI:10.1109/EmbeddedSys.2014.6953103

[28]	An adaptive data aggregation technique for dynamic cluster based Wireless Sensor Networks 2014 23rd International Conference on Computer Communication and Networks (ICCCN), 2014 DOI:10.1109/ICCCN.2014.6911791

[29]	Improved Data Discrimination in Wireless Sensor Networks Wireless Sensor Network, 2012 DOI:10.4236/wsn.2012.44016

[30]	The Research of Hierarchical Data Fusion Based on Three-tiers Wireless Sensor Networks for Urban Real Time Traffic Information Monitoring 2010 Fourth International Conference on Genetic and Evolutionary Computing, 2010 DOI:10.1109/ICGEC.2010.203

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

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