788.11J Presentation “Sensor Flock” Presented by Ahmed Saber.

Slides:

Advertisements

Similar presentations

ACHIEVING NETWORK LEVEL PRIVACY IN WIRELESS SENSOR NETWORKS.

Advertisements

Project Lead The Way For Fremont Junior High School.

6LoWPAN Extending IP to Low-Power WPAN 1 By: Shadi Janansefat CS441 Dr. Kemal Akkaya Fall 2011.

Robot Sensor Networks. Introduction For the current sensor network the topography and stability of the environment is uncertain and of course time is.

The Design and Evaluation of a Mobile Sensor/Actuator Network for Autonomous Animal Control Presented by Nashwa Ahmed.

Presentation by: Drew Wichmann Paper by: Samer Hanoun and Saeid Nahavandi 1.

“Sensor Flock” An Airborne Wireless Sensor Network of Micro-Air Vehicles Presented by: Ahmed ezz-eldin.

Vertical Launch UAV Project Plan. ∞ Construct an unmanned aerial vehicle (UAV) with a camera payload ∞ UAV must autonomously navigate with real-time video.

Data trapped in billions of devices Devices often in hard-to-reach locations - basements. below ground, pad mounts Interference is increasing and poses.

Focus on Teamwork 1.

1 Next Century Challenges: Scalable Coordination in sensor Networks MOBICOMM (1999) Deborah Estrin, Ramesh Govindan, John Heidemann, Satish Kumar Presented.

Mohamed Hefeeda 1 School of Computing Science Simon Fraser University, Canada Multimedia Streaming in Dynamic Peer-to-Peer Systems and Mobile Wireless.

1 Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming Choong K. Oh and Gregory J. Barlow U.S. Naval Research.

EEC 693/793 Wireless Sensor Networks A Short Name of your Paper’s Title Student Name.

Automatic Control & Systems Engineering Autonomous Systems Research Mini-UAV for Urban Environments Autonomous Control of Multi-UAV Platforms Future uninhabited.

Challenge the future Delft University of Technology Robotics & Embedded Software Koen Langendoen Stefan Dulman.

Autonomic Wireless Sensor Networks: Intelligent Ubiquitous Sensing G.M.P. O’Hare, M.J. O’Grady, A. Ruzzelli, R. Tynan Adaptive Information Cluster (AIC)

NOSS PI Meeting, October 18, 2004 Data-Centric Active Querying in Sensor Networks: The ACQUIRE Project Bhaskar Krishnamachari Co-PI: Ahmed Helmy Department.

1 Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming Gregory J. Barlow North Carolina State University.

CS 441: Charles Durran Kelly.  What are Wireless Sensor Networks?  WSN Challenges  What is a Smartphone Sensor Network?  Why use such a network? 

Achieving Long-Term Surveillance in VigilNet Pascal A. Vicaire Department of Computer Science University of Virginia Charlottesville, USA.

UnderWater Acoustic Sensor Networks (UW-ASN) -Xiong Junjie

Mobile Agents in Wireless Sensor Networks Ivan Vukasinovic Zoran Babovic Goran Rakocevic.

Unmanned aerial systems, what they are and what is available? Professor Sandor M Veres University of Sheffield.

Wirelessly Accessible Sensor Populations (WASP) for Elderly Care Monitoring Presented by Student Name: Ashraf Youssef Mostafa.

“Designing Wireless Sensor Networks as a Shared Resource for Sustainable Development” e.g. Water Quality Monitoring Application Presented by: Mahmoud Khairy.

788.11J Presentation “Intelligent Home Control Systems based on Active Sensor Networks” Presented by :Ahmed Mahmoud Ahmed.

788.11J Presentation “sensors for phishing” (i.e., your short name of the paper’s title) Presented by Student Name.

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.

CS 712 | Fall 2007 Using Mobile Relays to Prolong the Lifetime of Wireless Sensor Networks Wei Wang, Vikram Srinivasan, Kee-Chaing Chua. National University.

“Microbotics”. Introduction INSPIRED by the biology of a bee and the insect’s hive behavior... we aim to push advances in miniature robotics and the design.

An Introduction Table Of Context Sensor Network PreviewRouting in Sensor NetworksMobility in Sensor Networks Structure and characteristics of nodes and.

Adaptive Control of House Environment - Neural Network House Presented by Wenjie Zeng.

Capita Selecta Distributed Systems Danny Hughes, Wouter Joosen, Sam Michiels, Eddy Truyen IBBT-DistriNet, KULeuven September

Low-Power Wireless Sensor Networks

WMNL Sensors Deployment Enhancement by a Mobile Robot in Wireless Sensor Networks Ridha Soua, Leila Saidane, Pascale Minet 2010 IEEE Ninth International.

CS-691 SEMINAR Dr. Omar Abdullah Batarfi

A Design for Secure and Survivable Wireless Sensor Networks Yi Qian, Kejie Lu, David Tipper Presented by: William Newton University of Maryland, Baltimore.

1–1 Chapter 1 INTRODUCTION TO MANAGEMENT AND ORGANIZATIONS © Prentice Hall, 2002.

Tracking with Unreliable Node Sequences Ziguo Zhong, Ting Zhu, Dan Wang and Tian He Computer Science and Engineering, University of Minnesota Infocom 2009.

1 New Materials, Surfaces and Sensing Applications Novel Functional Materials Intelligent Materials Surface Functionalisation Nanomaterials and Nanocoatings.

788.11J Presentation “ Fire Wx Net ” Presented by Engy Ashraf Yehia.

DOS Attacks in Wireless Sensor Networks By Eric Bartocci & Justin Matthews.

Uichin Lee KAIST KSE KSE801: Mobile and Pervasive Computing for Knowledge Services.

Selection and Navigation of Mobile sensor Nodes Using a Sensor Network Atul Verma, Hemjit Sawant and Jindong Tan Department of Electrical and Computer.

Overview of Information and Signal Processing Program 24 January 2007 Liyi Dai, Program Manager Computing & Information Sciences Division Mathematical.

Bounded relay hop mobile data gathering in wireless sensor networks

Wireless Sensor Network (WSN). WSN - Basic Concept WSN is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively.

Intelligent Distributed Spacecraft Infrastructure Earth Science Vision Session IGARSS 2002 Toronto, CA June 25, Needs for an Intelligent Distributed.

Energy Efficient Interface Selection in Heterogeneous wireless networking Preperd by Soran Hussein.

Adaptive Tracking in Distributed Wireless Sensor Networks Lizhi Yang, Chuan Feng, Jerzy W. Rozenblit, Haiyan Qiao The University of Arizona Electrical.

788.11J Presentation Volcano Monitoring Deploying a Wireless Sensor Network on an Active Volcano Phani Arava.

Power-Efficient Rendez- vous Schemes for Dense Wireless Sensor Networks En-Yi A. Lin, Jan M. Rabaey Berkeley Wireless Research Center University of California,

788.11J Presentation Wearable Wireless Body Area Networks (WWBAN) Presented by Jingjing He.

1 Enabling Smart Cities/Campuses to Serve the Internet of People Florence Hudson Senior Vice President & Chief Innovation Officer Internet2 TNC16 June.

How to minimize energy consumption of Sensors in WSN Dileep Kumar HMCL 30 th Jan, 2015.

788.11J Presentation “Flock Control: Using Information Energy” Presented by Mukundan Sridharan.

Sensing and Measurements Tom King Oak Ridge National Laboratory April 2016.

Wireless Sensor Network (WSN)

CENTAUR Duration: 3 years Type of Action: Innovation Action

A (Much) Greener Shade of Blue

Introduction to Wireless Sensor Networks

SMART BUILDING WITH INDOOR NAVIGATION SYSTEM -using iot

CS294-1 Reading Aug 28, 2003 Jaein Jeong

788.11J Presentation “Robot Navigation using a Sensor Network ”

Presented by Bijendra Vishal

788.11J Presentation “Atmospheric Observatory”

Presented by Derek Bistline

Develop distributed algorithms for sensor networks which provide:

Outline Jude Allred, Ahmad Bilal Hasan, Saroch Panichsakul, William Pisano, Peter Gray, Jyh Huang, Richard Han, Dale Lawrence, Kamran Mohseni. SensorFlock:

Presentation transcript:

788.11J Presentation “Sensor Flock” Presented by Ahmed Saber

The Main Idea SensorFlock is a mobile system for networked micro-air vehicles or in short MAVs. This system is used for atmospherics sensing of toxic plume, storm dynamics. The paper talked about avionics, networking, the design of the MAV, the software used for autopilot, and the MAV launch system.

The Main Achievements What did this work accomplish? –The MAV is designed to achieve low energy consumption with providing a better coverage of monitored field for a relatively long period (about 90 minutes) that is sufficient for used application What are the contributions? This system gives a low cost solution for atmospheric sensing of various atmosphere phenomena like storms, tornados, and hurricanes.

The Challenges The design of the MAV had to be sufficiently lightweight. Autopilot software design to provide semi- autonomous flight Ability to make the propulsion, flight control, and wireless networking work together into one intergrated solution

Pictures Figure 1: SensorFlock for 3-D sensing of toxic plumes.

Pictures Figure 9: Multi-vehicle flocking. Vehicle are distributed with gradient field modifications.

Innovation The system incorporate a very disparate systems together with excellent efficiency which are the propulsion system, flight control, and WSN. Also the networking code was written to assure quick interaction between MAVs in order to provide more robust system in compact yet efficient way.