Wireless Sensor Mote (TelosB) Ultra low-power wireless module –for sensor networks, monitoring app, rapid prototyping Key Features –2.4GHz 802.15.4 radio,

Slides:

Advertisements

Similar presentations

Energy-efficient distributed algorithms for wireless ad hoc networks Ramki Gummadi (MIT)

Advertisements

Chris Karlof and David Wagner

Security in Mobile Ad Hoc Networks

Berkeley dsn declarative sensor networks problem David Chu, Lucian Popa, Arsalan Tavakoli, Joe Hellerstein approach related dsn architecture status  B.

Transmission Power Control in Wireless Sensor Networks CS577 Project by Andrew Keating 1.

Decentralized Reactive Clustering in Sensor Networks Yingyue Xu April 26, 2015.

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

Presented by : Poorya Ghafoorpoor Yazdi Eastern Mediterranean University Mechanical Engineering Department Master Thesis Presentation Eastern Mediterranean.

Sensor Network 教育部資通訊科技人才培育先導型計畫. 1.Introduction General Purpose  A wireless sensor network (WSN) is a wireless network using sensors to cooperatively.

CSE 5392By Dr. Donggang Liu1 CSE 5392 Sensor Network Security Introduction to Sensor Networks.

UNIVERSITY OF SOUTHERN CALIFORNIA RUGGeD: RoUting on finGerprint GraDients in Sensor Networks Jabed Faruque, Ahmed Helmy Wireless Networking Laboratory.

PERFORMANCE MEASUREMENTS OF WIRELESS SENSOR NETWORKS Gizem ERDOĞAN.

FLIGHT: Clock Calibration Using Fluorescent Lighting Zhenjiang Li, Wenwei Chen, Cheng Li, Mo Li, Xiang-Yang Li, Yunhao Liu Nanyang Technological University,

1/24 Passive Interference Measurement in Wireless Sensor Networks Shucheng Liu 1,2, Guoliang Xing 3, Hongwei Zhang 4, Jianping Wang 2, Jun Huang 3, Mo.

University of Massachusetts, Amherst Triage: Balancing Energy and Quality of Service in a Microserver Nilanjan Banerjee, Jacob Sorber, Mark Corner, Sami.

Murat Demirbas Youngwhan Song University at Buffalo, SUNY

Mica: A Wireless Platform for Deeply Embedded Networks Jason Hill and David Culler Presented by Arsalan Tavakoli.

Impact of Radio Irregularity on Wireless Sensor Networks

1 Experimental Study of Concurrent Transmission in Wireless Sensor Networks Dongjin Son, Bhaskar Krishnamachari (USC/EE), and John Heidemann (USC/ISI)

Reconfigurable Sensor Networks Chris Elliott Honours in Digital Systems Charles Greif and Nandita Bhattacharjee.

1 Link Characteristics in Sensor Networks. 2 Why Such a Study? (in)validate whether the basic model used in design is accurate or not  Remember you have.

Integrated  -Wireless Communication Platform Jason Hill.

CS 410/510 Sensor Networks Portland State University Lecture 3 Wireless Communication.

Generic Sensor Platform for Networked Sensors Haywood Ho.

UNIVERSITY OF SOUTHERN CALIFORNIA Embedded Networks Laboratory 1 Wireless Sensor Networks Ramesh Govindan Lab Home Page:

Distributed localization in wireless sensor networks

Data-Centric Storage in Sensornets Submitted to Sigcomm 2002 Authors: Sylvia Ratnasamy et al. ICIR, UCLA, UC-Berkeley Presenter:Shang-Chieh Wu

1 Localization Technologies for Sensor Networks Craig Gotsman, Technion/Harvard Collaboration with: Yehuda Koren, AT&T Labs.

Distributed Algorithms for Guiding Navigation across a Sensor Network Qun Li, Michael DeRosa, and Daniela Rus Dartmouth College MOBICOM 2003.

RSSI is Under-Appreciated

Intel ® Research mote Ralph Kling Intel Corporation Research Santa Clara, CA.

Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks CENTS Retreat – May 26, 2005 Jaein Jeong (1), David Culler (1),

1 Energy Efficient Communication in Wireless Sensor Networks Yingyue Xu 8/14/2015.

1 BANAID: A Sensor Network Test-Bed for Wormhole Attack Hani Alzaid Suhail AbanmiSalil KanhereChun Tung Chou BANAID.

Spring 2000, 4/27/00 Power evaluation of SmartDust remote sensors CS 252 Project Presentation Robert Szewczyk Andras Ferencz.

Intelligent Shipping Container Project IMPACT & INTEL.

Shahin Farshchi, Member, IEEE, Aleksey Pesterev, Paul Nuyujukian, Eric Guenterberg, Istvan Mody, and Jack W. Judy, Senior Member, IEEE, ” Structure of.

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

TinyOS By Morgan Leider CS 411 with Mike Rowe with Mike Rowe.

RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks Chieh-Jan Mike Liang †, Kaifei Chen ‡, Nissanka Bodhi Priyantha †, Jie.

Institut for Technical Informatics 1 Thomas Trathnigg Towards Runtime Support for Energy Awareness in WSNs Towards Runtime Support for Energy Awareness.

Introduction to Wireless Sensor Networks

1 XYZ: A Motion-Enabled, Power Aware Sensor Node Platform for Distributed Sensor Network Applications Presenter: James D. Lymberopoulos, A. Savvides.

CS HONORS UNDERGRADUATE RESEARCH PROGRAM - PROJECT PROPOSAL Tingyu Thomas Lin Advisor: Professor Deborah Estrin January 25, 2007.

1/30 Energy-Efficient Forwarding Strategies for Geographic Routing in Lossy Wireless Sensor Networks Wireless and Sensor Network Seminar Dec 01, 2004.

Overview of Sensor Networks David Culler Deborah Estrin Mani Srivastava.

Omid Abari Hariharan Rahul, Dina Katabi and Mondira Pant

Link layer Murat Demirbas SUNY Buffalo CSE Dept..

Secure Routing in Wireless Sensor Networks: Attacks and Countermeasures Chris Karlof and David Wagner (modified by Sarjana Singh)

College of Engineering Grid-based Coordinated Routing in Wireless Sensor Networks Uttara Sawant Major Advisor : Dr. Robert Akl Department of Computer Science.

A Highly Scalable Key Pre- Distribution Scheme for Wireless Sensor Networks.

788.11J Presentation “Deploying a Wireless Sensor Network on an Active Volcano” Presented by Ahmed Farouk Ibrahim Gaffer.

RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks Chieh-Jan Mike Liang †, Kaifei Chen ‡, Nissanka Bodhi Priyantha †, Jie.

Xiong Junjie Node-level debugging based on finite state machine in wireless sensor networks.

Interfacing External Sensors to Telosb Motes April 06,2005 Raghul Gunasekaran.

Tufts Wireless Laboratory School Of Engineering Tufts University Paper Review “An Energy Efficient Multipath Routing Protocol for Wireless Sensor Networks”,

Introduction to Wireless Sensor Networks

Wireless Sensor Networks

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,

Wireless sensor and actor networks: research challenges Ian. F. Akyildiz, Ismail H. Kasimoglu

Why does it need? [USN] ( 주 ) 한백전자 Background Wireless Sensor Network (WSN)  Relationship between Sensor and WSN Individual sensors are very limited.

Software Architecture of Sensors. Hardware - Sensor Nodes Sensing: sensor --a transducer that converts a physical, chemical, or biological parameter into.

Department of Electrical Engineering, National Taiwan University of Science and Technology EURASIP Journal on Wireless Communications and Networking.

- Pritam Kumat - TE(2) 1.  Introduction  Architecture  Routing Techniques  Node Components  Hardware Specification  Application 2.

Introduction to Wireless Sensor Networks

CS294-1 Reading Aug 28, 2003 Jaein Jeong

D A C B Radio Irregularity.

RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks Chieh-Jan Mike Liang†, Kaifei Chen‡, Nissanka Bodhi Priyantha†, Jie Liu†,

Task Manager & Profile Interface

Presentation transcript:

Wireless Sensor Mote (TelosB) Ultra low-power wireless module –for sensor networks, monitoring app, rapid prototyping Key Features –2.4GHz radio, 250kps –8MHz processor, 10k RAM, 48k Flash –Fast wakeup (6  s) –1MB external flash (16 segments, each 64kB) –Ultra low current consumption –TinyOS support

Some Useful Components of Mote/TOS Radio UART Timer (unique) Flash memory LEDs Sensor(s)

Some Research Area in WSN Wireless Communication Localization Calibration Time Synchronization Routing (Data-Centric Routing) Deployment, Lifetime optimization Signal Processing - compression, detection Storage (Data-Centric Storage) Mobility

Wireless Communication Ideal model Real model * [Ganesan TR ’02][ Marco Zuniga et al., USC]

Wireless Communication transitional connected disconnected distance (m) PRR Empirical: link behavior * – Three regions*: Connected Disconnected Transitional – Transitional region : Asymmetric links High variance space/time Large extent – Significant impact on some routing protocols** * [Zhao SenSys ’03] [Woo SenSys ’03] [Ganesan TR ’02] [Aguayo SIGCOMM’04] ** [Zhou MobiSys’03]

Routing ( Information Gradient-based Active Routing ) ( North Palm Springs earthquake of July 8, 1986 ) Isoseismal (intensity) maps ( North Palm Springs earthquake of July 8, 1986 ) Ref.: Southern California Earthquake Center. (

Challenges - In real life, sensors are unable to detect or measure the event’s effect below certain threshold. So, diffusion curve has finite tail - Lack of sensitivity of sensor device(s) - Creates flat information region - Erroneous reading of the malfunctioning sensors - Due to calibration error or obstacle - Cause local maxima or minima - Environmental noise Routing ( Information Gradient-based Active Routing )

Brief Description of Routing Approaches Single-path Query forwarding with look-ahead, r = 1 Multiple-path Query forwarding Q Q SS Look-ahead = 1 Active Node Candidate Node Active Nodes 9

Still Have Limitations Q Q Q Multiple Events Flooding overhead is high for sparsely distributed events Flooding overhead is high for sparsely distributed events Unable to detect sparsely located events Unable to detect sparsely located events