Proceedings ArticleDOI
Energy optimal codes for wireless communications
C. Erin,H. Harry Asada +1 more
- Vol. 5, pp 4446-4453
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TLDR
This paper first formulates the minimum energy coding problem for RF transmission, then derives the energy optimal source coding algorithm from the source statistics, and combines this algorithm with Hamming codes for energy efficient error recovery to take a first step towards a novel energy saving wireless communication protocol.Abstract:
Source coding and channel coding algorithms minimizing the battery power needed for RF transmission are presented. Digital RF transmitters in portable devices using on/off keying modulation consume energy only when high bits are sent and virtually no energy is consumed when low bits are sent. Therefore, energy consumption can be minimized by devising codes that minimize the occurrence of high bits in transmitting information. In this paper, we first formulate the minimum energy coding problem for RF transmission. We then derive the energy optimal source coding algorithm from the source statistics. Finally, we combine this energy optimal source coding algorithm with Hamming codes for energy efficient error recovery. Overall, we take a first step towards a novel energy saving wireless communication protocol.read more
Citations
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Development of Wireless MEMS Inclination Sensor System for Swing Monitoring of Large-Scale Hook Structures
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Proceedings ArticleDOI
Energy efficient source coding and modulation for wireless applications
Y. Prakash,Sandeep K. S. Gupta +1 more
TL;DR: A simple and energy efficient source coded on/off keying modulation and near optimal error detection scheme for wireless applications and a new method of code-by-code detection that can detect and correct certain errors in the codeword received are proposed.
Proceedings ArticleDOI
BER performance analysis of an on-off keying based minimum energy coding for energy constrained wireless sensor applications
TL;DR: A more conservative result is obtained due to a better characterization of the average energy per source bit and it is shown that hard-decision decoding outperforms BPSK only when the SNR is higher than a certain threshold and that soft-dec decision decoding performs better than B PSK regardless of theSNR value.
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A Wireless MEMS-Based Inclinometer Sensor Node for Structural Health Monitoring
TL;DR: The wireless transfer system proposed in this study was experimentally verified for practical application in a structural health monitoring system and yielded almost identical values at a tilt angle greater than 1°.
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A source coding and modulation method for power saving and interference reduction in DS-CDMA sensor network systems
Chun-Hung Liu,H. Harry Asada +1 more
TL;DR: A source coding and modulation technique for reducing multiple access interference (MAI) as well as for reducing power consumption in DS-CDMA wireless sensor network systems is presented and it is shown that signal-to-noise ratio is significantly increased and the error probability is lowered.
References
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Book
Wireless Communications: Principles and Practice
TL;DR: WireWireless Communications: Principles and Practice, Second Edition is the definitive modern text for wireless communications technology and system design as discussed by the authors, which covers the fundamental issues impacting all wireless networks and reviews virtually every important new wireless standard and technological development, offering especially comprehensive coverage of the 3G systems and wireless local area networks (WLANs).
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Error control coding : fundamentals and applications
Shu Lin,Daniel J. Costello +1 more
TL;DR: This book explains coding for Reliable Digital Transmission and Storage using Trellis-Based Soft-Decision Decoding Algorithms for Linear Block Codes and Convolutional Codes, and some of the techniques used in this work.
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Coding and Information Theory
TL;DR: Coding and information theory, Coding and Information theory, مرکز فناوری اطلاعات و اصاع رسانی, کδاوρزی.
Journal ArticleDOI
On Tail Biting Convolutional Codes
H. Ma,Jack K. Wolf +1 more
TL;DR: This technique provides an important link between quasi-cyclic block and convolutional codes andOptimum and suboptimum decoding algorithms for these codes are described and their performance determined by analytical and simulation techniques.
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Coding and information theory
TL;DR: This chapter discusses Noisless Coding, Finite Fields and Cyclic Codes, which combines Noisy Coding with Linear Codes, and some Linear Codes.
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