In Situ Blind Calibration of Sensor Networks for Infrastructure Monitoring

2021 ◽  
pp. 1-1
Author(s):  
Anqi Yang ◽  
Pengjun Wang ◽  
Huazhong Yang
Keyword(s):  
Sensor Networks ◽  
Infrastructure Monitoring ◽  
Blind Calibration

scholarly journals Underground Microseismic Event Monitoring and Localization within Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2830
Author(s):  
Sili Wang ◽  
Mark P. Panning ◽  
Steven D. Vance ◽  
Wenzhan Song
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Information Needs ◽  
Localization Algorithm ◽  
Distributed Sensors ◽  
Distributed Sensor ◽  
Microseismic Events ◽  
The Stability ◽  
Stability And Accuracy

Locating underground microseismic events is important for monitoring subsurface activity and understanding the planetary subsurface evolution. Due to bandwidth limitations, especially in applications involving planetarily-distributed sensor networks, networks should be designed to perform the localization algorithm in-situ, so that only the source location information needs to be sent out, not the raw data. In this paper, we propose a decentralized Gaussian beam time-reverse imaging (GB-TRI) algorithm that can be incorporated to the distributed sensors to detect and locate underground microseismic events with reduced usage of computational resources and communication bandwidth of the network. After the in-situ distributed computation, the final real-time location result is generated and delivered. We used a real-time simulation platform to test the performance of the system. We also evaluated the stability and accuracy of our proposed GB-TRI localization algorithm using extensive experiments and tests.

Towards Wireless Sensor Networks for railway infrastructure monitoring

2010 ◽  
Author(s):  
Fran Flammini ◽  
Andrea Gaglione ◽  
Francesco Ottello ◽  
Alfio Pappalardo ◽  
Concerta Pragliola ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Infrastructure Monitoring ◽  
Railway Infrastructure

scholarly journals Magnetic Induction Technology-Based Wireless Sensor Network for Underground Infrastructure, Monitoring Soil Conditions, and Environmental Observation Applications: Challenges and Future Aspects

2022 ◽  
Vol 2022 ◽  
pp. 1-18
Author(s):  
Pratap Singh ◽  
Rishi Pal Singh ◽  
Yudhvir Singh ◽  
Jasgurpreet Singh Chohan ◽  
Shubham Sharma ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Magnetic Induction ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Soil Conditions ◽  
Long Distance ◽  
Infrastructure Monitoring ◽  
Research Areas ◽  
Underground Infrastructure ◽  
Type Water

Wireless sensor networks (WSNs) especially with sensor nodes communicating with each other in medium other than air have been naive area of research since the last few years. In comparison to underwater communication, wireless underground sensor networks (WUSNs) are now being used in a large number of applications ranging from environmental observation, estimating chances of earthquake, communicating in underground tunnels or mines, and infrastructure monitoring to soil monitoring for agricultural purposes. In spite of all such promising applications, due to harsh and dynamically changing soil characteristics including soil type, water content in soil, and soil temperature, underground communication with conventional electromagnetic (EM) wave-based technology could not prove to be feasible for long-distance communication. Alternatively, due to magnetic permeability of soil being similar to air, magnetic induction- (MI-) based approach was adopted using magnetic coils as antenna for sensor nodes. Subsequently, MI waveguide and 3D coil mechanisms were considered to improve the system efficiency. Attributing to different characteristics of underlying transmission channels, communication protocols as well as architecture of MI-based WUSNS (MI-WUSNs) have been developed with different approaches. In this review paper, in addition to the latest advancements made for MI-WUSNs, closely associated areas of MI-WUSNs have also been explored. Additionally, research areas which are still open to be worked upon have been detailed out.

System Support for the In Situ Testing of Wireless Sensor Networks via Programmable Virtual Onboard Sensors

2016 ◽  
Vol 65 (4) ◽  
pp. 744-753 ◽  
Author(s):  
Manos Koutsoubelias ◽  
Nasos Grigoropoulos ◽  
Spyros Lalis ◽  
Petros Lampsas ◽  
Serafeim Katsikas ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
System Support ◽  
In Situ Testing

In-Situ Detection of Impact Damage in Composites Using Carbon Nanotube Sensor Networks

2009 ◽  
Vol 1 (1) ◽  
pp. 3-7 ◽  
Author(s):  
A. Proper ◽  
W. Zhang ◽  
S. Bartolucci ◽  
A. A. Oberai ◽  
N. Koratkar
Keyword(s):  
Carbon Nanotube ◽  
Sensor Networks ◽  
Impact Damage

scholarly journals Smart Solar Panels: In-situ Monitoring of Photovoltaic Panels based on Wired and Wireless Sensor Networks

2013 ◽  
Vol 36 ◽  
pp. 535-545 ◽  
Author(s):  
P. Papageorgas ◽  
D. Piromalis ◽  
K. Antonakoglou ◽  
G. Vokas ◽  
D. Tseles ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
In Situ Monitoring ◽  
Wireless Sensor ◽  
Solar Panels ◽  
Photovoltaic Panels

Asynchronous Distributed Blind Calibration of Sensor Networks Under Noisy Measurements

2018 ◽  
Vol 5 (1) ◽  
pp. 571-582 ◽  
Author(s):  
Milos S. Stankovic ◽  
Srdjan S. Stankovic ◽  
Karl Henrik Johansson
Keyword(s):  
Sensor Networks ◽  
Blind Calibration ◽  
Noisy Measurements

scholarly journals INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Paritosh Ramanan ◽  
Goutham Kamath ◽  
Wen-Zhan Song
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Distributed Algorithms ◽  
Sleep Time ◽  
Wireless Sensor ◽  
Consensus Problem ◽  
Design Development ◽  
Distributed Consensus ◽  
Gossip Algorithms

With the onset of Cyber-Physical Systems (CPS), distributed algorithms on Wireless Sensor Networks (WSNs) have been receiving renewed attention. The distributed consensus problem is a well studied problem having a myriad of applications which can be accomplished using asynchronous distributed gossip algorithms on Wireless Sensor Networks (WSNs). However, a practical realization of gossip algorithms for WSNs is found lacking in the current state of the art. In this paper, we propose the design, development, and analysis of a novel in situ distributed gossip framework called INDIGO. A key aspect of INDIGO is its ability to perform on a generic system platform as well as on a hardware oriented testbed platform in a seamless manner allowing easy portability of existing algorithms. We evaluate the performance of INDIGO with respect to the distributed consensus problem as well as the distributed optimization problem. We also present a data driven analysis of the effect certain operating parameters like sleep time and wait time have on the performance of the framework and empirically attempt to determine asweet spot. The results obtained from various experiments on INDIGO validate its efficacy, reliability, and robustness and demonstrate its utility as a framework for the evaluation and implementation of asynchronous distributed algorithms.

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