Fully Printed IoT Antenna for Drone-Deployed Autonomous Sensor Unit

2019 ◽  
Author(s):  
Martin Pavec ◽  
Jiri Navratil ◽  
Radek Soukup ◽  
Vaclav Smitka ◽  
Ales Hamacek
Keyword(s):  
Sensor Unit ◽  
Autonomous Sensor

scholarly journals Characteristics of CdS and photo-transistor as photo sensor on the sensor unit (SU-6804) and OP amp unit (OU-6801)

2021 ◽  
Author(s):  
Fasya Nabilah ◽  
Ryaas Mishbachul Munir ◽  
Annila Firdaus ◽  
Vissella Zulia Lestari ◽  
Aldi Destia Lesmana ◽  
...  
Keyword(s):  
Sensor Unit ◽  
Op Amp ◽  
Photo Sensor

Energy Harvesting for Autonomous Sensing

2007 ◽  
Vol 347 ◽  
pp. 405-410 ◽  
Author(s):  
Daniel J. Inman ◽  
Justin Farmer ◽  
Benjamin L. Grisso
Keyword(s):  
Power Source ◽  
Ambient Vibration ◽  
Vibration Energy ◽  
Computational Algorithms ◽  
Wireless Power ◽  
Sensing System ◽  
Autonomous Sensor ◽  
Damage Monitoring ◽  
Piezoelectric Elements ◽  
External Connections

Autonomous, wireless structural health monitoring is one of the key goals of the damage monitoring industry. One of the main roadblocks to achieving autonomous sensing is removing all wiring to and from the sensor. Removing external connections requires that the sensor have its own power source in order to be able to broadcast/telemetry information. Furthermore if the sensor is to be autonomous in any way, it must contain some sort of computing and requires additional power to run computational algorithms. The obvious choice for wireless power is a battery. However, batteries often need periodical replacement. The work presented here focuses on using ambient energy to power an autonomous sensor system and recharge batteries and capacitors used to run an active sensing system. In particular, we examine methods of harvesting energy to run sensor systems from ambient vibration energy using piezoelectric elements.

scholarly journals Towards an Optimal Energy Consumption for Unattended Mobile Sensor Networks through Autonomous Sensor Redeployment

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jian Chen ◽  
Jie Jia ◽  
Yingyou Wen ◽  
Dazhe Zhao
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Mathematical Problem ◽  
Mobile Sensor Networks ◽  
Sensor Nodes ◽  
Target Area ◽  
Mobile Sensor ◽  
Energy Hole ◽  
Autonomous Sensor ◽  
Optimal Node

Energy hole is an inherent problem caused by heavier traffic loads of sensor nodes nearer the sink because of more frequent data transmission, which is strongly dependent on the topology induced by the sensor deployment. In this paper, we propose an autonomous sensor redeployment algorithm to balance energy consumption and mitigate energy hole for unattended mobile sensor networks. First, with the target area divided into several equal width coronas, we present a mathematical problem modeling sensor node layout as well as transmission pattern to maximize network coverage and reduce communication cost. And then, by calculating the optimal node density for each corona to avoid energy hole, a fully distributed movement algorithm is proposed, which can achieve an optimal distribution quickly only by pushing or pulling its one-hop neighbors. The simulation results demonstrate that our algorithm achieves a much smaller average moving distance and a much longer network lifetime than existing algorithms and can eliminate the energy hole problem effectively.

Development of a Novel Sensor Unit to build up Massage Manipulation for Medical Training

2018 ◽  
Author(s):  
Xiaojiao Chen ◽  
Chunbao Wang ◽  
Quanquan Liu ◽  
Gong Chen ◽  
Jianjun Long ◽  
...  
Keyword(s):  
Medical Training ◽  
Sensor Unit

scholarly journals Low-Cost and Energy-Saving Wireless Sensor Network for Real-Time Urban Mobility Monitoring System

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Joyoung Lee ◽  
Zijia Zhong ◽  
Bo Du ◽  
Slobodan Gutesa ◽  
Kitae Kim
Keyword(s):  
Energy Saving ◽  
Fiber Optics ◽  
Monitoring System ◽  
Data Center ◽  
Low Cost ◽  
Wireless Sensor ◽  
Navigation Systems ◽  
Urban Mobility ◽  
Proof Of Concept ◽  
Sensor Unit

This paper presents a low-cost and energy-saving urban mobility monitoring system based on wireless sensor networks (WSNs). The primary components of the proposed sensor unit are a Bluetooth sensor and a Zigbee transceiver. Within the WSN, the Bluetooth sensor captures the MAC addresses of Bluetooth units equipped in mobile devices and car navigation systems. The Zigbee transceiver transmits the collected MAC addresses to a data center without any major communications infrastructures (e.g., fiber optics and 3G/4G network). A total of seven prototype sensor units have been deployed on roadway segments in Newark, New Jersey, for a proof of concept (POC) test. The results of the POC test show that the performance of the proposed sensor unit appears promising, resulting in 2% of data drop rates and an improved Bluetooth capturing rate.

Design of the I-BoomCopter UAV for Remote Sensor Mounting

2017 ◽  
Author(s):  
Daniel R. McArthur ◽  
Arindam B. Chowdhury ◽  
David J. Cappelleri
Keyword(s):  
Flight Test ◽  
Force Sensor ◽  
Vertical Surface ◽  
End Effector ◽  
Autonomous Sensor ◽  
Remote Sensor ◽  
Line Force ◽  
Aerial Vehicle ◽  
Sensor Package ◽  
Reverse Thrust

This paper presents the design of the Interacting-BoomCopter (I-BoomCopter) unmanned aerial vehicle (UAV) for mounting a remote sensor package on a vertical surface. Critical to the design is the novel, custom, light-weight passive end-effector. The end-effector has a forward-facing sonar sensor and in-line force sensor to enable autonomous sensor mounting tasks. The I-BoomCopter’s front boom is equipped with a horizontally-mounted propeller which can provide forward and reverse thrust with zero roll and pitch angles. The design and modeling of the updated I-BoomCopter platform is presented along with prototype flight test results. A teleoperated wireless camera sensor mounting task examines the updated platform’s suitability for mounting remote sensor packages.

Development and deployment of an autonomous sensor for the in-situ radioactivity measurement in the marine environment

2018 ◽  
Vol 142 ◽  
pp. 181-186 ◽  
Author(s):  
Yingying Zhang ◽  
Bingwei Wu ◽  
Dongyan Liu ◽  
Ying Zhang ◽  
Yan Cheng
Keyword(s):  
Marine Environment ◽  
Radioactivity Measurement ◽  
Autonomous Sensor

Can Autonomous Sensor Systems Improve the Well-being of People Living at Home with Neurodegenerative Disorders?

2016 ◽  
pp. 649-658 ◽  
Author(s):  
Tauseef Gulrez ◽  
Samia-Nefti Meziani ◽  
David Rog ◽  
Matthew Jones ◽  
Anthony Hodgson
Keyword(s):  
Neurodegenerative Disorders ◽  
Well Being ◽  
Sensor Systems ◽  
Autonomous Sensor ◽  
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