Routing in wireless ad hoc and sensor network underground with sensor data in real-time

2012 ◽  
Author(s):  
Emmanuel Odei-Lartey ◽  
Klaus Hartmann ◽  
Hamidreza Ahmadian
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
Ad Hoc ◽  
Sensor Data

scholarly journals Design and Simulation of a Wireless Sensor Network Greenhouse-Monitoring System Based on 3G Network Communication

2016 ◽  
Vol 12 (05) ◽  
pp. 48 ◽  
Author(s):  
Y. H. Zhou ◽  
J. G. Duan
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Network Communication ◽  
Target Area ◽  
Wireless Communication Network ◽  
Environmental Monitoring System

A greenhouse provides a stable and suitable environment for the growth of plants. Temperature and humidity are closely related to plant growth. These factors directly affect the water content of plants and the quality of fruits. To solve the problems in the current monitoring system of greenhouse cultivation, such as complicated wiring, large node power consumption, and so on, this study proposes a wireless sensor network greenhouse-monitoring system based on third-generation network communication for the real-time monitoring of the temperature, humidity, light, and CO<sub>2</sub> concentration in a greenhouse. GS1011M is regarded as the core in developing wireless terminal nodes. PC software is used to build a real-time observation platform. Sensor data are received in real time through a wireless communication network to complete the monitoring of the target area. A simulation research is also conducted. Results show that the power dissipation of the greenhouse environmental monitoring system is low, its data accuracy is high, and its operation is stable.

scholarly journals An Ultra-Wideband (UWB) Ad Hoc Sensor Network for Real-time Indoor Localization of Emergency Responders

10.5772/14232 ◽  
2011 ◽  
Author(s):  
Anthony Lo ◽  
Alexander Yarovoy ◽  
Timothy Bauge ◽  
Mark Russell ◽  
Dave Harmer ◽  
...  
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
Ad Hoc ◽  
Indoor Localization ◽  
Ultra Wideband ◽  
Emergency Responders

scholarly journals Fast care – real-time sensor data analysis framework for intelligent assistance systems

2017 ◽  
Vol 3 (2) ◽  
pp. 743-747
Author(s):  
Albert Hein ◽  
Florian Grützmacher ◽  
Christian Haubelt ◽  
Thomas Kirste
Keyword(s):  
Data Analysis ◽  
Real Time ◽  
Assisted Living ◽  
Ad Hoc ◽  
Ambient Assisted Living ◽  
Situation Model ◽  
Sensor Data ◽  
Analysis Framework ◽  
Assistance Systems ◽  
Assistive Systems

AbstractMain target of fast care is the development of a real-time capable sensor data analysis framework for intelligent assistive systems in the field of Ambient Assisted Living, eHealth, Tele Rehabilitation, and Tele Care. The aim is to provide a medically valid integrated situation model based on a distributed, ad-hoc connected, energy-efficient sensor infrastructure suitable for daily use. The integrated situation model combining physiological, cognitive, and kinematic information about the patient is grounded on the intelligent fusion of heterogeneous sensor data on different levels. The model can serve as a tool for quickly identifying risk and hazards as well as enable medical assistance systems to autonomously intervene in real-time and actively give telemedical feedback.

Significance and implementation of SMART Monitoring Tools

2020 ◽  
Author(s):  
Uta Koedel ◽  
Peter Dietrich ◽  
Erik Nixdorf ◽  
Philipp Fischer
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
Monitoring Network ◽  
Research Field ◽  
Data Availability ◽  
Sensor Data ◽  
Integrated Analysis ◽  
Full Potential ◽  
Automatic Data ◽  
The Status

&lt;p&gt;The term &amp;#8220;SMART Monitoring&amp;#8221; is often used in digital projects to survey and analyze data flows in near- or realtime. The term is also adopted in the project Digital Earth (DE) which was jointly launched in 2018 by the eight Helmholtz centers of the research field Earth and Environment (E&amp;E) within the framework of the German Ministry of Education and Research (BMBF). Within DE, the &amp;#8220;SMART monitoring&amp;#8221; sub-project aims at developing workflows and processes to make scientific parameters and the related datasets SMART, which means &lt;strong&gt;s&lt;/strong&gt;pecific, &lt;strong&gt;m&lt;/strong&gt;easurable, &lt;strong&gt;a&lt;/strong&gt;ccepted, &lt;strong&gt;r&lt;/strong&gt;elevant, and &lt;strong&gt;t&lt;/strong&gt;rackable (SMART).&lt;/p&gt;&lt;p&gt;&amp;#8220;SMART Monitoring&amp;#8221; in DE comprises a combination of hard- and software tools to enhance the traditional sequential monitoring approach - where data are step-by-step analyzed and processed from the sensor towards a repository - into an integrated analysis approach where information on the measured value together with the status of each sensor and possible auxiliary relevant sensor data in a sensor network are available and used in real-time to enhance the sensor output concerning data accuracy,&amp;#160; precision, and data availability. Thus, SMART Monitoring could be defined as a computer-enhanced monitoring network with automatic data flow control from individual sensors in a sensor network to databases enhanced by automated (machine learning) and near real-time interactive data analyses/exploration using the full potential of all available sensors within the network. Besides, &amp;#8220;SMART monitoring&amp;#8221; aims to help for a better adjustment of sensor settings and monitoring strategies in time and space in iterative feedback.&lt;/p&gt;&lt;p&gt;This poster presentation will show general concepts, workflows, and possible visualization tools based on examples that support the SMART Monitoring idea.&lt;/p&gt;

scholarly journals Fast care

2017 ◽  
Vol 3 (2) ◽  
pp. 739-742
Author(s):  
Sabrina Hoppstock ◽  
Peter Kußmann ◽  
Ulrich H.P. Fischer-Hirchert
Keyword(s):  
Data Analysis ◽  
Real Time ◽  
Assisted Living ◽  
Ad Hoc ◽  
Ambient Assisted Living ◽  
Latency Period ◽  
Sensor Data ◽  
Analysis Framework ◽  
Project Fast

AbstractThe project fast care is working on a real-time capable sensor data analysis-framework in the fields of "Ambient Assisted Living" (AAL), "Human-Technology Interaction" (MTI) and "eHealth". The aim is to provide a medical valid - integrated real-time picture of the patient’s situation by using an ad hoc interconnected sensor – actor infrastructure with a latency period of less than 10 ms.

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