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HoLiSTiC: Heterogeneous Lightweight Sensornets for Trusted Visual Computing

Deepa Kundur, Unoma Ndili Okorafor, William Luh
2006 2006 International Conference on Intelligent Information Hiding and Multimedia  
The HoLiSTiC paradigm, which encompasses many existing VisSN proposals, effectively exploits heterogeneous wireless sensing and communications for more flexible, practical and scalable visual surveillance  ...  This paper introduces a novel "HoLiSTiC" framework for visual sensor networks (VisSNs) and studies security issues within this context.  ...  VisSN security presents a rich research environment for creative solutions that integrate signal processing, networking and cryptography.  ... 
doi:10.1109/iih-msp.2006.264995 dblp:conf/iih-msp/KundurOL06 fatcat:do27yee455adrktbayrkvpzl6m

A method of fingerprint indoor localization based on received signal strength difference by using compressive sensing

Xiao-min Yu, Hui-qiang Wang, Jin-qiu Wu
2020 EURASIP Journal on Wireless Communications and Networking  
To address this issue, a fusion method based on received signal strength difference and compressive sensing (RSSD-CS) is proposed in this paper, which can reduce the influence caused by the terminal heterogeneity  ...  Besides, a fingerprint database is reconstructed from the existing reference point data.  ...  WHQ and WJQ contributed to the overall design and network element optimization layout model. The authors read and approved the final manuscript.  ... 
doi:10.1186/s13638-020-01683-8 fatcat:pofwhvm2snbknkmnqfqx2uzdii

IEEE Access Special Section Editorial: Mission-Critical Sensors and Sensor Networks (MC-SSN)

Qilian Liang, Tariq S. Durrani, Jinhwan Koh, Jing Liang, Yonghui Li, Xin Wang
2021 IEEE Access  
This Special Section on mission-critical sensors and sensor networks aimed to publish the most recent results in theories and methods of sensor design, networking, sensing, information management, and  ...  Algorithms are sought for fused and/or coherent cross-platform radio frequency (RF) sensing.  ...  The article ''The datacube reconstruction approach for compressed sensing image mapping spectrometer (CSIMS),'' by Ding and Wang, establishes the sensing matrix for a novel datacube reconstruction approach  ... 
doi:10.1109/access.2021.3068830 fatcat:mcmdtikg2vfqvokgu7pnm6xofq

Data aggregation and recovery for the Internet of Things: A compressive demixing approach

Evangelos Zimos, Joao F. C. Mota, Evaggelia Tsiligianni, Miguel R. D. Rodrigues, Nikos Deligiannis
2018 2018 IEEE Wireless Communications and Networking Conference (WCNC)  
Large-scale wireless sensor networks (WSNs) and Internet-of-Things (IoT) applications involve diverse sensing devices collecting and transmitting massive amounts of heterogeneous data.  ...  Our design achieves significant reduction in the overall network data rates compared to prior schemes based on (distributed) compressed sensing or compressed sensing with (multiple) side information.  ...  via compressive demixing.  ... 
doi:10.1109/wcnc.2018.8377196 dblp:conf/wcnc/ZimosMTRD18 fatcat:uzm4acvfjfg3nj6o7x4olaxz74

Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks

Walid Osamy, Ahmed Aziz, Ahmed M Khedr
2021 PeerJ Computer Science  
Recently, combination of Compressive Sensing (CS) and routing protocols has attracted much attention.  ...  In this paper, we introduce an effective deterministic clustering based CS scheme (DCCS) for fog-supported heterogeneous WSNs to handle the data acquisition problem.  ...  Ahmed Aziz conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, and approved the final draft.  ... 
doi:10.7717/peerj-cs.463 pmid:33954241 pmcid:PMC8049130 fatcat:r7lcnxab5zcz3mgewonujemici

An Energy-Efficient Compressive Sensing-Based Clustering Routing Protocol for WSNs

Quan Wang, Deyu Lin, Pengfei Yang, Zhiqiang Zhang
2019 IEEE Sensors Journal  
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.  ...  Shen et, al. proposed a nonuniform compressive sensing scheme which was applied to the real WSNs data set to improve the energy efficiency via exploiting both data compressibility and heterogeneity [30  ... 
doi:10.1109/jsen.2019.2893912 fatcat:q25273zhjvhydek6bhadsjdnl4

CDCS: Cluster-Based Distributed Compressed Sensing to Facilitate QoS Routing in Cognitive Video Sensor Networks

Hang Shen, Lingli Li, Tianjing Wang, Guangwei Bai
2019 Entropy  
Compressed sensing based in-network compression methods which minimize data redundancy are critical to cognitive video sensor networks.  ...  On this basis, a sequential compressed sensing approach is applied to determine whether enough measurements are obtained to limit the reconstruction error between decoded signals and original signals under  ...  Such networks can process, transmit and fuse multimedia data originated from heterogeneous sources.  ... 
doi:10.3390/e21040345 pmid:33267059 fatcat:25yrtz62gnhtzjbmwrugpd5jgy

Global and partitioned reconstructions of undirected complex networks

Ming Xu, Chuan-Yun Xu, Huan Wang, Yong-Kui Li, Jing-Bo Hu, Ke-Fei Cao
2016 European Physical Journal B : Condensed Matter Physics  
These approaches are applied to evolutionary games occurring on both homogeneous and heterogeneous networks via compressed sensing, which can more efficiently achieve higher reconstruction accuracy with  ...  Different from the usual framework of the node-based reconstruction, two optimization approaches (i.e., the global and partitioned reconstructions) are proposed to infer the structure of undirected networks  ...  First, we recall the usual NR approach via compressed sensing.  ... 
doi:10.1140/epjb/e2016-60956-2 fatcat:c2xl43chwngellk3ltmfpytudy

Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior

Nikos Deligiannis, Joao F. C. Mota, Evangelos Zimos, Miguel R. D. Rodrigues
2017 IEEE Transactions on Communications  
schemes that use classical compressed sensing, compressed sensing with side information, and distributed compressed sensing.  ...  Large-scale data collection by means of wireless sensor network and internet-of-things technology poses various challenges in view of the limitations in transmission, computation, and energy resources  ...  Contributions Prior studies on networked data aggregation via (distributed) compressed sensing [24] - [27] considered homogeneous data sources, namely, they proposed to leverage the spatiotemporal correlations  ... 
doi:10.1109/tcomm.2017.2746099 fatcat:q63z7hcugnge3br544xvqleybm

Improving the scalability of hyperspectral imaging applications on heterogeneous platforms using adaptive run-time data compression

Antonio Plaza, Javier Plaza, Abel Paz
2010 Computers & Geosciences  
on heterogeneous networks of workstations.  ...  However, large messages are common in hyperspectral imaging applications since processing algorithms are pixel-based, and each pixel vector to be exchanged through the communication network is made up  ...  Acknowledgements This work has been supported by the European Community's Marie Curie Research Training Networks Programme under Reference MRTN-CT-2006-035927, Hyperspectral Imaging Network (HYPER-I-NET  ... 
doi:10.1016/j.cageo.2010.02.009 fatcat:2kks35ypcvcklk7zuzw54wb3wy

Mobile Sink Based Data Assemblage in Wireless Sensor Networks

2019 International journal of recent technology and engineering  
The important aims of the suggested algorithm are to elongate the existence of network and to reduce the delay in fetching data from sensor nodes.  ...  The improvement of sink's data collecting method as well as the maximization of lifespan of the network is done by discovering a most favorable set of meeting points.  ...  energy efficient compressive sensing.  ... 
doi:10.35940/ijrte.d8883.118419 fatcat:jrklfkvqbfgvtoit7r7oty45i4

Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model

Redha Touati, Max Mignotte, Mohamed Dahmane
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
(CD) between pairs of heterogeneous remote sensing images.  ...  Index Terms-Anomalous patterns, change detection (CD), deep learning, feature space reconstruction, heterogeneous remote sensing, multimodal anomaly detector, reconstruction error, sparse autoencoder.  ...  Its main ability is to learn, in the least square sense, a compressed representation minimizing the reconstruction error of the two imaging modalities in the residual space and to estimate within this  ... 
doi:10.1109/jstars.2020.2964409 fatcat:j23jop7hmra4zio42bhhculyk4

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 6194-6208 Dual-Path Attention Network for Compressed Sensing Image Reconstruc- tion.  ...  ., TIP 2020 6641-6654 Sensing Matrix Design for Compressive Spectral Imaging via Binary Principal Component Analysis.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Effective Data Acquisition Protocol for Multi-Hop Heterogeneous Wireless Sensor Networks Using Compressive Sensing

Ahmed Khedr
2015 Algorithms  
In this paper, we propose an effective data acquisition clustered protocol using compressive sensing (EDACP-CS) for heterogeneous WSNs that aims to conserve the energy of sensor nodes in the presence of  ...  energy and transmission range heterogeneity.  ...  Conclusions In this paper, an effective data acquisition clustered protocol using compressive sensing for heterogeneous WSNs in terms of energy and transmission range is proposed (EDACP-CS).  ... 
doi:10.3390/a8040910 fatcat:efr7muewerb4pp2q7mmgqvxm6a

Voronoi trees for hierarchical in-network data and space abstractions in wireless sensor networks

Mohamed M. Ali Mohamed, Ashfaq A. Khokhar, Goce Trajcevski
2013 Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems - MSWiM '13  
We address the problem of spatial queries in Wireless Sensor Networks (WSN) via hybrid overlays, where the data values may correspond to different physical phenomena and sensors may be correlated with  ...  We show how hierarchical data and space abstractions can be used to represent Voronoi Cell based partitions of the sensing field and use Voronoi Trees to efficiently map the hierarchical abstractions for  ...  ACKNOWLEDGEMENTS This research has been supported in part by the NSF grants CNS 0910988, 0910952 and III 1213038. 7.  ... 
doi:10.1145/2507924.2507999 dblp:conf/mswim/MohamedKT13 fatcat:t4qixawqznhevopuf4ojrovxwa
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