LOGO Intelligent Video Monitoring Solutions in Wireless Sensor Networks BY Rasha Sayed Negm Pre-Master 2011-2012 Cairo University.

Slides:



Advertisements
Similar presentations
Optimization of intrusion detection systems for wireless sensor networks using evolutionary algorithms Martin Stehlík Faculty of Informatics Masaryk University.
Advertisements

CSE 5392By Dr. Donggang Liu1 CSE 5392 Sensor Network Security Introduction to Sensor Networks.
Precision Agriculture & Flexible Electronics Wine Grapes A Case Study Alan N. Lakso Cornell - Geneva.
Using Weather Stations to Improve Irrigation Scheduling S MART W IRELESS S OLUTION Ali Mah’d Al Shrouf Abu Dhabi Food Control Authority UAE
Use of Remote Sensing and GIS in Agriculture and Related Disciplines
Monitoring the hydrologic cycle in the Sierra Nevada mountains.
Greenhouse Monitoring using Wireless Sensor Networks (GWSN) Sponsored by INNOVA Rongo Rongo.
Potential Applications of Field Monitoring Server Networks for Ohio Agriculture Department of Food, Agricultural, and Biological Engineering The Ohio State.
Wireless Sensor Network. A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to.
Autonomic Wireless Sensor Networks: Intelligent Ubiquitous Sensing G.M.P. O’Hare, M.J. O’Grady, A. Ruzzelli, R. Tynan Adaptive Information Cluster (AIC)
Improving Agriculture with Wireless Weather Stations CSE 646: Wireless Sensor Networks Kevin Becker September 7, 2010.
Large range directive antennas for wireless sensor network J.P. CHANET, K.M. HOU, T. HUMBERT, P. RAMEAU, G. DE SOUSA, D. BOFFETY Cemagref - LIMOS Workshop.
FLEXIBLE AND PRECISE IRRIGATION PLATFORM TO IMPROVE FARM-SCALE WATER PRODUCTIVITY FIGARO June 2014.
Tecfrut Bioquímica S.L. C/ Alcudia de Crespín, s/n Benimuslem España Telf
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, Vol. 2, p.p. 980 – 984, July 2011 Cross Strait Quad-Regional Radio Science.
POLITECNICO DI TORINO TRIBUTE and DIMMER. DIMMER - The context One of the major challenges in today’s economy concerns the reduction in energy usage and.
Introduction To Wireless Sensor Networks Wireless Sensor Networks A wireless sensor network (WSN) is a wireless network consisting of spatially distributed.
David Rogers, Stu Andrzejewski, Kelly Desmond, Brad Garrod.
Introduction of IoT Agriculture Crystal 1. Outline Traditional Agriculture Irrigation Soil Status Crop Monitoring Smart Agriculture Example : Fujitsu.
Georgia Automated Environmental Monitoring Network (AEMN) Established in 1991 Housed on UGA Griffin Campus in Department of Crop and Soil Sciences, College.
Energy Efficiency - Made in Germany February 16 th, 2011 Exportinitiative Energy Efficiency in Dutch Greenhouse Industry Hans-Jürgen Tantau on behalf of.
“Designing Wireless Sensor Networks as a Shared Resource for Sustainable Development” e.g. Water Quality Monitoring Application Presented by: Mahmoud Khairy.
Presented by Amira Ahmed El-Sharkawy Ibrahim.  There are six of eight turtle species in Ontario are listed as endangered, threatened or of special concern.
By Daniel Nanghaka Founder – ILICIT Africa, and EWERDIMA Platform Early Warning Early.
An Introduction Table Of Context Sensor Network PreviewRouting in Sensor NetworksMobility in Sensor Networks Structure and characteristics of nodes and.
WSN Done By: 3bdulRa7man Al7arthi Mo7mad AlHudaib Moh7amad Ba7emed Wireless Sensors Network.
NOMIRACLE, ISPRA 8-9 June Emission estimates for pesticides due to agricultural praxis Steen Gyldenkærne and Peter B. Sørensen National Environmental.
Soil Moisture Monitoring Using Wireless Sensor Network
Use of ICTs in Education, Healthcare and Agriculture
Economics of Extreme Climatic Events By Adil Rasheed (EPFL-ENAC-ICARE-LESO-PB)
Microcontroller-Based Wireless Sensor Networks
Precision Agriculture Smart Farm Stations Yunxin Li and Raymond Wang Motorola Australian Research Centre.
Authors: B. Sc. Stanislava Stanković, School of Electrical Engineering, University of Belgrade B. Sc. Marko Stanković, School of Electrical Engineering,
AD-HOC NETWORK SUBMITTED BY:- MIHIR GARG A B.TECH(E&T)/SEC-A.
Secure In-Network Aggregation for Wireless Sensor Networks
Embedded Design Using ARM For Strong Room Security System
Eric A. Graham UCLA Department of Ecology and Evolutionary Biology Ecological Applications of CENS Technologies at the James Reserve Summer interns: Caitlin.
Submission doc.: IEEE /1365r0 Use Cases of LRLP Operation for IoT November 2015 Chittabrata Ghosh, IntelSlide 1 Date: Authors:
Lecture 8: Wireless Sensor Networks
A. Hangan, L. Vacariu, O. Cret, H. Hedesiu Technical University of Cluj-Napoca A Prototype for the Remote Monitoring of Water Parameters.
Presented by : Rashmy Balasubramanian.  Aimed at saving endangered species of turtle in Ontario  The WSN gathers information regarding risks factors.
SmartGrids and M2M Lew Roth VP Business Development Partners 1993.
Overview of Wireless Networks: Cellular Mobile Ad hoc Sensor.
Wireless sensor and actor networks: research challenges
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
Wireless Access and Networking Technology (WANT) Lab. An Efficient Data Aggregation Approach for Large Scale Wireless Sensor Networks Globecom 2010 Lutful.
Sensor Fusion-based Event Detection in Wireless Sensor Networks Majid Bahrepour, Nirvana Meratnia, Paul Havinga Presented by: Stephan Bosch.
Applying Sensor Networks to Evaluate Air Pollutant Emissions from Fugitive and Area Sources Office of Research and Development National Risk Management.
Farms, sensors and satellites. Using fertilisers Farming practice are changing Growing quality crops in good yields depends on many factors, including.
Projekt „ESSNBS“ Niš, November 4 th – 7 th, DAAD Wireless Measurement System for Environmental Monitoring and Control MM. Srbinovska, V. Dimcev,
Wireless Sensor Network: A Promising Approach for Distributed Sensing Tasks.
Lecture 8: Wireless Sensor Networks By: Dr. Najla Al-Nabhan.
- Pritam Kumat - TE(2) 1.  Introduction  Architecture  Routing Techniques  Node Components  Hardware Specification  Application 2.
Modern trends in agriculture with wire less sensor networks and Mobile Computing By Dr Lakshman Rao ( Prakasam Engineering College ), G V S N R V Prasad.
Medium Access Control. MAC layer covers three functional areas: reliable data delivery access control security.
In the name of God.
The OFIDIA Project CMCC Lecce, MUST, November 24th, 2015
XBee Based Motor Control for Farmers
Introduction to Wireless Sensor Networks
Overview of Wireless Networks:
Wireless Sensor Network (WSN)
M.Tech MAJOR PROJECT Presentation
Name Of The College & Dept
Introduction to Wireless Sensor Networks
Automated Irrigation Control System
Green Revolution 2.0 Remote Sensing.
Lecture 3: Wireless Sensor Networks
INTRODUCTION MYUNG-MIN OH.
Management of Digital Ecosystem for Smart Agriculture
Impact of IoT/AI in Agriculture
Presentation transcript:

LOGO Intelligent Video Monitoring Solutions in Wireless Sensor Networks BY Rasha Sayed Negm Pre-Master Cairo University

Contents WSN Scope 1 Wireless Solutions 2 Precision Agriculture 3

WSN Scope  Over the last decade, wireless sensor networks (WSNs) have attracted a lot of attention from the research community.  With hundreds or thousands of sensor nodes, a WSN must employ distributed algorithms to support its applications.

 These algorithms must be highly localized as long distance transmissions are very expensive, and would diminish the network's overall lifespan.  WSN must be self-configurable, highly scalable, redundant, and robust. WSN Scope

 The features of WSNs can be applied to a variety of applications for environmental for example :  (agriculture, water, forest) monitoring.  battle field surveillance.  health (e.g., elderly people) monitoring.  and industry process control. WSN Scope

 In the near future. For instance, disaster relief applications can provide an effective system to detect living human beings to help successfully manage a disaster relief operation, potentially saving hundreds of lives. WSN Scope

Wireless Solutions

 A WSN is a collection of nodes with  low performance CPU,  memory,  radio transmitter  and sensors.  They make environmental measurements (sensing) and transmit them to a collection point, which then forwards them to a remote processing system.

Wireless Solutions  The characteristic of these nodes is that they are  small,  low-power,  wirelessly interconnected  and cost-effective.  The network form has the characteristic of being self-configuring and autonomous, requiring no human intervention, can cover a very large area and can remain active for a long time.

Wireless Solutions  Solutions based on WSN saves  a lot on costs,  monitor much larger areas with extreme environmental conditions and in places very narrow and difficult to reach. Moreover, given the low cost of each node are used in emergency situations where they may be destroyed or lost in some way, such as in areas at risk of fire or landslides.

Precision Agriculture

 Vineyards and Greenhouses  In this context, the sensors network is used to monitor environmental parameters of crop cultivation, so that the farmer knows, for example, when having water or when to use certain pesticides. Thanks to combination of sensors such as humidity, temperature, and light and so on.  Avoid the risk of frost, as well as any plant diseases or you can control the level of irrigation based on soil moisture and leaf wetness.

IMPLICATIONS OF HOT POTATOES  The precision agriculture has the ‘aim of  optimizing the production,  taking into account local soil and climatic variations.  All this involves extremely precise control of vital parameters for vineyards and greenhouses, so that irrigation and climate control correspond to local conditions.

Precision Agriculture Vineyards

 In the greenhouses solar radiation:  temperature and CO2 concentration are correlated to determine the final production.  If any of these factors is limiting, it becomes unnecessary to increase the other. Precision Agriculture

 The main factors of the microclimate in the greenhouse that we can control and manage are:  Temperature, CO2 concentration,  Humidity,  Intensity of radiation  and wind pressure or speed. Precision Agriculture

Greenhouses Precision Agriculture

LOGO