A Framework for Energy- Scalable Communication in High-Density Wireless Networks Telvis Calhoun Wireless Sensor Networks CSC8908-005 Dr. Li 8/27/2008.

Slides:



Advertisements
Similar presentations
Physical Layer: Signals, Capacity, and Coding
Advertisements

Mobility Increase the Capacity of Ad-hoc Wireless Network Matthias Gossglauser / David Tse Infocom 2001.
Presented by Rick Skowyra
Energy-Efficient Communication Protocol for Wireless Microsensor Networks by Mikhail Nesterenko Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari.
Tufts Wireless Laboratory Tufts University School Of Engineering Energy-Efficient Structuralized Clustering for Sensor-based Cyber Physical Systems Jierui.
Chapter-3-1CS331- Fakhry Khellah Term 081 Chapter 3 Data and Signals.
Energy–efficient Reliable Broadcast in Underwater Acoustic Networks Paolo Casari and Albert F Harris III University of Padova, Italy University of Illinois.
PERFORMANCE MEASUREMENTS OF WIRELESS SENSOR NETWORKS Gizem ERDOĞAN.
Wireless Sensor Networks Energy Efficiency Issues
Chapter 8 Data and Network Communication Technology
Antennas and Propagation
Communication Systems Simulation - I Harri Saarnisaari Part of Simulations and Tools for Telecommunication Course.
Chapter 3 Data and Signals
Department of Electronic Engineering City University of Hong Kong EE3900 Computer Networks Data Transmission Slide 1 Continuous & Discrete Signals.
Advanced Topics in Next- Generation Wireless Networks Qian Zhang Department of Computer Science HKUST Wireless Radio.
On the Construction of Energy- Efficient Broadcast Tree with Hitch-hiking in Wireless Networks Source: 2004 International Performance Computing and Communications.
RF Considerations for wireless communications Jose Antonio Echenique.
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 5th Lecture Christian Schindelhauer.
Module 3.0: Data Transmission
Outline What is an ad hoc network Smart Antenna Overview
Sep 08, 2005CS477: Analog and Digital Communications1 Example Systems, Signals Analog and Digital Communications Autumn
Propagation characteristics of wireless channels
Chapter 8 COMMUNICATION AND COMPUTER NETWORK
RF Wakeup Sensor – On-Demand Wakeup for Zero Idle Listening and Zero Sleep Delay.
Transmission Media / Channels. Introduction Provides the connection between the transmitter and receiver. 1.Pair of wires – carry electric signal. 2.Optical.
Ron Milione Ph.D. W2TAP W2TAP InformationModulatorAmplifier Ant Feedline Transmitter InformationDemodulatorPre-Amplifier Ant Feedline Receiver Filter.
Wireless Transmission Fundamentals (Physical Layer) Professor Honggang Wang
Air Interface. 2 Analog Transmission n In analog transmission, the state of line can vary continuously and smoothly among an infinite number of states.
1 Long-Distance Communication. 2 Illustration of a Carrier Carrier –Usually a sine wave –Oscillates continuously –Frequency of carrier fixed.
Introduction.
MAC Protocols and Security in Ad hoc and Sensor Networks
9/21/2015© 2009 Raymond P. Jefferis III Lect Geographic Information Processing Radio Wave Propagation Line-of-Sight Propagation in cross-section.
W.lilakiatsakun.  Radio Wave Fundamental  Radio Wave Attributes  RF System Component  RF Signal Propagation  RF Mathematics.
Low-Power Wireless Sensor Networks
SenseIT: Networking 1 Sensor.com WINS NG Networks Networking Research Review SenseIT PI Meeting October 7-8, 1999 Marina Del Rey Presented to Dr. Sri Kumar.
© 2009 Pearson Education Inc., Upper Saddle River, NJ. All rights reserved. 1 Communication Reliability Asst. Prof. Chaiporn Jaikaeo, Ph.D.
Copyright: S.Krishnamurthy, UCR Power Controlled Medium Access Control in Wireless Networks – The story continues.
A Location-aided Energy-aware Routing Method for UWB Sensor Networks Xizhi An and Kyungsup Kwak Graduate School of Information Technology and Telecommunications,
Tufts University. EE194-WIR Wireless Sensor Networks. March 3, 2005 Increased QoS through a Degraded Channel using a Cross-Layered HARQ Protocol Elliot.
SENSOR NETWORKS BY Umesh Shah Mayuresh Patil G P Reddy GUIDES Prof U.B.Desai Prof S.N.Merchant.
Coding Theory. 2 Communication System Channel encoder Source encoder Modulator Demodulator Channel Voice Image Data CRC encoder Interleaver Deinterleaver.
Lunar Surface EVA Radio Study Adam Schlesinger NASA – Johnson Space Center October 13, 2008.
Network Kernel Architectures and Implementation ( ) Physical Layer
SWE-DISH SATELLITE SYSTEMS
ECE 4710: Lecture #2 1 Frequency  Communication systems often use atmosphere for transmission  “Wireless”  Time-varying Electro-Magnetic (EM) Wave 
RF Propagation No. 1  Seattle Pacific University Basic RF Transmission Concepts.
Scalable Video Coding and Transport Over Broad-band wireless networks Authors: D. Wu, Y. Hou, and Y.-Q. Zhang Source: Proceedings of the IEEE, Volume:
Electromagnetic Spectrum
Antennas and Propagation Chapter 5. Introduction An antenna is an electrical conductor or system of conductors Transmission - radiates electromagnetic.
Part 3  Transmission Media & EM Propagations.  Provides the connection between the transmitter and receiver. 1.Pair of wires – carry electric signal.
Lecture Focus: Data Communications and Networking  Transmission Impairment Lecture 14 CSCS 311.
1 Packet Radio Networks Fixed or mobile nodes that communicate via radios –Advantages: »Fast (re) deployment and set-up of network »Ability to support.
Tufts University. EE194-WIR Wireless Sensor Networks. February 17, 2005 Increased QoS through a Degraded Channel using a Cross-Layered HARQ Protocol Elliot.
Michael Buettner, Gary V. Yee, Eric Anderson, Richard Han
TOPIC 1.2 INTRODUCTION TO NETWORKING. OBJECTIVES By the end of the topic, students should be able to: a) List the elements of data communication systems.
Efficient Geographic Routing in Multihop Wireless Networks Seungjoon Lee*, Bobby Bhattacharjee*, and Suman Banerjee** *Department of Computer Science University.
1 Effectiveness of Physical and Virtual Carrier Sensing in IEEE Wireless Ad Hoc Networks Fu-Yi Hung and Ivan Marsic WCNC 2007.
Chapter 2 : Data Communications BENG 4522 Data Communications & Computer Networks Transmission Impairment Signals travel through the transmission.
Max do Val Machado Raquel A. F. Mini Antonio A. F. Loureiro DCC/UFMG DCC/PUC Minas DCC/UFMG IEEE ICC 2009 proceedings Advisor : Han-Chieh Chao Student.
Signal Propagation Basics
INTRODUCTION. Electrical and Computer Engineering  Concerned with solving problems of two types:  Production or transmission of power.  Transmission.
Fundamentals of Communications. Communication System Transmitter: originates the signal Receiver: receives transmitted signal after it travels over the.
Modulation and Multiplexing Broadband Transmission – A carrier is a high frequency signal that is modulated by audio, video, or data. – A radio-frequency.
CSE 5345 – Fundamentals of Wireless Networks
Wireless Sensor Networks 5th Lecture
CSE 5345 – Fundamentals of Wireless Networks
Communication Systems.
<month year> <doc.: IEEE doc> January 2013
Reliability and Channel Coding
Information Sciences and Systems Lab
Presentation transcript:

A Framework for Energy- Scalable Communication in High-Density Wireless Networks Telvis Calhoun Wireless Sensor Networks CSC Dr. Li 8/27/2008

Background  Overview  Power Control API  Radio Channel Background  Communication Models  Summary

API  Introduce power control API for wireless sensor nodes.  Trade-off communication for energy savings Latency Reliability Range for energy savings.  Goal is to add energy efficient protocol design.  Scalable sensor networks

Energy vs. Performance  Voltage/Freq Processor effects end-to-end latency scalability in communication  Code[rate] Provides reliability.  Transmit power Range scalability.

Knobs  Range Works with location aware protocol. Set destinations unicast or multicast. Range number or nearest neighbors or distance in meters.

Other Knobs  Latency – set maximum latency (usecs)  Reliability – set min reliability (ber)  Energy - set max energy(ujoules)

Radio Model  Radio Model Parameters Amplification RF and RF Pathloss Forward Error Correction Bit-error rate Receiver thresholds Noise and Interference

Power Amplification [2, 3]  Increases the power and/or amplitude of a signal.  Also called gain.

RF and RF Pathloss [10]  RF is a frequency or rate of oscillation  Attenuation of an electromagnetic wave as it propagates through space.  Influenced by terrain contours, environment (urban or rural, vegetation and foliage), Propagation medium (dry or moist air), Distance between the transmitter and the receiver Height and location of antennas.

Forward Error Correction [5]  Sender adds redundant data to its messages  Allows the receiver to detect and correct errors (within some bound) without the need to ask the sender for additional data. Coderate k/n for every k bits of useful information n bits of data, of which n minus k are redundant. [6]

Bit-error rate [7]  Ratio of the number of bits incorrectly received to the total number of bits sent during a specified time interval.  Mitigated by FEC

Receive Thresholds  RF Sensitivity Threshold Lowest signal strength at which a signal can be detected on the channel.  RF Receive Threshold Lowest signal strength a which a signal can be received as information.

Noise and Interference [8]  Noise Floor Measure of the signal created from the sum of all the noise sources and unwanted signals Includes thermal noise.  Interference Signals from different users to interfere with one another.[9] Mitigated by orthogonal channels and MAC algorithms

Communication Energy Models  Radio Transmission Energy – (PIC). Represent the energies at startup and transmission. Pstart,Tstart represent power and latency or radio at startup PtxElec is active transmission power Pamp is dissipated amplifier power R radio bit rate Rc is convolutional code rate N number of bits before FEC (forward error correction)

Decoding and Receive Energy  Energy required to receive a packet N is energy dissipated by the radio at startup R received coderate Edecbit is the decoding energy per information bit

Modeling Communication  Node-to-Base Station Base station is an energy-unconstrained node  Node-to-Node Sum of receive and transmit energies. Minimum energy policy is enforced by choosing least-energy paremeters to satisfy requirements

Point-to-Point Communication  Code (K) Kc=7=max  Power amplifier (V)  Decoding processor voltage (V, MHz)  N is data bits

Multi-hop Data Aggregation  Vary power parameters to achieve least cost multi-hop route

Summary  Paper provides an API used for adaptive power control  Describes theoretical models  Shows performance impact of various parameters  Reviewed radio parameters  Communication Models

References [1]R. Min and A. Chandrakasan, "A framework for energy-scalable communication in high-density wireless networks," in Proceedings of the 2002 international symposium on Low power electronics and design Monterey, California, USA: ACM, [2]Amplifier, " [3]Electronic_amplifier, " [4]Radio_frequency, " [5]Forward_Error_Correction, " [6]Code_rate, " [7]Bit_error_probability, " [8]Noise_floor, " [9]WiMAX, "Wireless Radio Channel," in channel. channel [10]Pathloss, "