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Effect of directional antennas on spatiotemporal sampling in clustered sensor networks

Qingjiang Tian, S. Bandyopadhyay, E.J. Coyle
2006 IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006.  
We also propose a simple analytical approach to optimizing the antennas beam width in order to improve the spatiotemporal sampling rate by maximizing the transport capacity of the network.  ...  In this paper, we investigate this tradeoff between spatial reuse and connectivity in the context of the spatiotemporal sampling rate that can be achieved by the cluster.  ...  In this paper, we investigate the effects of directional antennas on spatiotemporal sampling process in clustered sensor networks.  ... 
doi:10.1109/wcnc.2006.1696612 dblp:conf/wcnc/TianBC06 fatcat:yyxxjkrid5dafpjtaoyifw5bzq

Lessons Learned from a Distributed RF-EMF Sensor Network

Sam Aerts, Günter Vermeeren, Matthias Van den Bossche, Reza Aminzadeh, Leen Verloock, Arno Thielens, Philip Leroux, Johan Bergs, Bart Braem, Astrid Philippron, Luc Martens, Wout Joseph
2022 Sensors  
resolution, its application in a small-scale distributed sensor network consisting of both fixed (on building façades) and mobile sensor nodes (on postal vans), and the subsequent analysis of over a year  ...  Furthermore, based on the correlation between the sensors, an adequate density of 100 sensor nodes per km2 was deduced for future networks.  ...  Onderzoeksfonds) of UGent.  ... 
doi:10.3390/s22051715 pmid:35270862 pmcid:PMC8914968 fatcat:couah62om5ewtd76753p6nyq6m

Signal-Processing-Aided Distributed Compression in Virtual MIMO-Based Wireless Sensor Networks

Sudharman K. Jayaweera, Madhavi L. Chebolu, Rakesh K. Donapati
2007 IEEE Transactions on Vehicular Technology  
A computationally inexpensive distributed compression scheme that exploits the spatiotemporal correlations of sensor data is implemented with the aid of a recursive least squares (RLS)-based adaptive correlation  ...  The energy efficiency performance of the proposed design is evaluated on real WSN data.  ...  This sensor network consists of 12 Crossbow MicaZ motes and a single DGN. The network has three clusters with four sensors per each cluster.  ... 
doi:10.1109/tvt.2007.900361 fatcat:w7y75453urgz5ghlp7dr4whpaa

An Angle Recognition Algorithm for Tracking Moving Targets Using WiFi Signals with Adaptive Spatiotemporal Clustering

Liping Tian, Liangqin Chen, Zhimeng Xu, Zhizhang Chen
2021 Sensors  
To deal with the multipath effects, we adopt the DBscan spatiotemporal clustering algorithm with adaptive parameters.  ...  First, phase calibration and static path elimination are proposed and performed on the collected channel state information signals from different antennas.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22010276 pmid:35009819 pmcid:PMC8749511 fatcat:yupolvq7hjaehjal7sfs73qtgu

WizNet: A ZigBee-based sensor system for distributed wireless LAN performance monitoring

Ruogu Zhou, Guoliang Xing, Xunteng Xu, Jianping Wang, Lin Gu
2013 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom)  
Powered by batteries, ZigBee sensors of WizNet can be deployed in large quantities to monitor the spatial performance of a WLAN in long periods of time.  ...  We have implemented WizNet in TinyOS 2.x and extensively evaluated its performance on a wireless testbed.  ...  As WizNet fuses the RSS from multiple sensors, the virtual antenna comprises all the antenna of sensors in a cluster.  ... 
doi:10.1109/percom.2013.6526722 dblp:conf/percom/ZhouXXWG13 fatcat:ji2wsswwp5fmjdv4qoyswc3wfe

Review and Analysis on Trajectory Big Data

Xueying Wu, Liheng Xia, L. Li, S. Zhu
2022 E3S Web of Conferences  
In recent years, with the widespread use of civil GPS and other positioning devices on mobile terminals and the development and popularity of location-based services and mobile social networks, a large  ...  of trajectory data in cities.  ...  sampling and based on eventtriggered sampling.  ... 
doi:10.1051/e3sconf/202233801039 fatcat:dbebvbvnefesnofngp22wsqm3i

A Review on Machine Learning-Based Radio Direction Finding

Ming-Yi You, An-Nan Lu, Yun-Xia Ye, Kai Huang, Bin Jiang
2020 Mathematical Problems in Engineering  
The research and applications of radio direction-finding technology based on machine learning are reviewed.  ...  Detailed application scenarios are summarized with focus on the advantages of machine learning-based direction-finding models.  ...  Acknowledgments is work was support by No. 36 Research Institute of CETC under the project no. CX05.  ... 
doi:10.1155/2020/8345413 fatcat:j7s2hqx6wfdhfawpqnlufkkeau

GCCE 2020 Subject Index

2020 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)  
by Instantaneous Spectral Estimation Separation of Multiple Sound Sources in the Same Direction by Instantaneous Spectral Estimation Sequence-To-One Neural Networks for Japanese Dialect Speech Classification  ...  T U V W Self-Attention Based Neural Network for Few Shot Classification Self-Attention Based Neural Network for Few Shot Classification Separation of Multiple Sound Sources in the Same Direction  ...  of Signal Arrival Based on Area Density of Estimated Lines for Ultrasonic Sensor Array Estimation for Direction of Signal Arrival Based on Area Density of Estimated Lines for Ultrasonic Sensor ArrayEstimation  ... 
doi:10.1109/gcce50665.2020.9291796 fatcat:bmnnn7xnxrefhaneq262fe4i6u

A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics [article]

Kyle Harlow, Hyesu Jang, Timothy D. Barfoot, Ayoung Kim, Christoffer Heckman
2024 arXiv   pre-print
We survey the current state of millimeterwave (mmWave) radar applications in robotics with a focus on unique capabilities, and discuss future opportunities based on the state of the art.  ...  Frequency Modulated Continuous Wave (FMCW) mmWave radars operating in the 76--81GHz range are an appealing alternative to lidars, cameras and other sensors operating in the near visual spectrum.  ...  A 2D slice of heatmap is given in the sample image.  ... 
arXiv:2305.01135v3 fatcat:yor5xwoqkrdffd636e3fatq724

Spatio-Temporal Correlation-Based Density Optimization in Wireless Underground Sensor Networks

Zhi Sun, I. F. Akyildiz
2011 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011  
, the spatiotemporal correlations, the network connectivity, and the random or controlled mobility of mobile sinks are captured.  ...  More importantly, an explicit solution for sensor density optimization in WUSNs under the proposed data collection scheme is developed such that the effects of the dynamic underground channel conditions  ...  When a mobile sink moves into the communication range of any underground sensors in one cluster, it can collect the measured data from all the underground sensors in this cluster.  ... 
doi:10.1109/glocom.2011.6134436 dblp:conf/globecom/SunA11 fatcat:ubofgo57mfgp3m6kjtv3fjlfie

Prolonging the Lifetime of Wireless Sensor Networks: A Review of Current Techniques

Felicia Engmann, Ferdinand Apietu Katsriku, Jamal-Deen Abdulai, Kofi Sarpong Adu-Manu, Frank Kataka Banaseka
2018 Wireless Communications and Mobile Computing  
There has been an increase in research interest in wireless sensor networks (WSNs) as a result of the potential for their widespread use in many different areas like home automation, security, environmental  ...  Currently, emphasis has been placed on energy harvesting, energy transfer, and energy conservation methods as the primary means of maintaining the network lifetime.  ...  Conflicts of Interest The authors declare there are no conflicts of interest regarding this paper publication.  ... 
doi:10.1155/2018/8035065 fatcat:2kvndeqsozeohlz3ng6g4xh52y

Channel reciprocity and time-reversed propagation for ultra-wideband communications

R.C. Qiu, Chenming Zhou, J.Q. Zhang, Nan Guo
2007 2007 IEEE Antennas and Propagation Society International Symposium  
This paper is the first paper of an new effort to understand UWB communications and sensor networking in RF harsh environments.  ...  The author is sponsored by ONR Summer Faculty program to work at Naval Research Laboratory in the summer of 2006 to study time reversal for underwater communications.  ...  This work is funded by the Office of Naval Research through a grant (N000140710529), National Science Foundation through a grant (ECS-0622125), the Army Research Laboratory, and the Army Research Office  ... 
doi:10.1109/aps.2007.4395422 fatcat:fjik3aru35fxrlvwarjykv5ehq

Distributed Spatiotemporal Suppression for Environmental Data Collection in Real-World Sensor Networks

William C. Evans, Alexander Bahr, Alcherio Martinoli
2013 2013 IEEE International Conference on Distributed Computing in Sensor Systems  
Using a custom extension board developed for in situ power monitoring, we show that while the algorithms greatly reduce the amount of energy spent on transmitting packets, they have no effect on the real  ...  As sensor networks become more ubiquitous for this purpose, increasing network longevity becomes ever more important.  ...  low-power wireless camera network for agriculture monitoring and pest attack detection" sponsored by the Swiss National Science Foundation.  ... 
doi:10.1109/dcoss.2013.74 dblp:conf/dcoss/EvansBM13 fatcat:5rrrhrdppjgtli24yf5plbn7cy

Implementable wireless access for B3G networks. I. MIMO mimo channel measurement, analysis, and modeling [Topics in Radio Communications]

Mischa Dohler, Stephen McLaughlin, Dave Laurenson, Mark Beach, Chor Tan, A. Aghvami
2007 IEEE Communications Magazine  
He is now a senior expert in the R&D Department of France Telecom working on distributed/ cooperative communication systems, sensor networks, and cognitive radio.  ...  Thus, the finding reported here is important in providing more detailed insight on the spatiotemporal domain properties of the channel.  ... 
doi:10.1109/mcom.2007.344587 fatcat:go4ad36t3fbd5hud3ux7mi2yf4

Cooperative Localization and Object Recognition in Autonomous UWB Sensor Networks [chapter]

Rudolf Zetik, Honghui Yan, Elke Malz, Snezhana Jovanoska, Guowei Shen, Reiner S., Rahmi Salman, Thorsten Schultze, Robert Tobera, Hans-Ingolf Willms, Lars Reichardt, Malgorzata Janson (+4 others)
2013 Ultra-Wideband Radio Technologies for Communications, Localization and Sensor Applications  
recognition in distributed sensor networks based on UWB radio technology.  ...  targets in dense sensor networks.  ... 
doi:10.5772/55077 fatcat:tcedfd5qlzcrforkpjbdb6cqvm
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