Performance Analysis of Minimum Energy Code in Wireless Sensor Networks

Shashidhar P K , Veerayya Hediggondamath

Error Control Codes, WSN, BER, Minimum Energy Code, ME Code

In Wireless Sensor Network (WSN) data is corrupted by errors due to noisy channels and other factors. To detect and correct error control codes are used. The different error correcting codes used in wireless network are ARQ, Block codes, BCH codes, RS codes, Convolutional codes, Turbo codes etc. These codes are designed keeping in mind about band width used for data storage, where as energy consumption by these codes is not taken into account. But in case of WSN the error correcting codes must be designed to use energy efficiently in order to increase the battery life of the sensor nodes which in turn will increase sensor node life. Therefore conventional error correcting codes can not be used in WSN. Our main objective in this paper is to come up with energy efficient coded modulation scheme that consumes comparatively less power both at system and circuit level. A simple On/Off keying (OOK) digital modulation scheme is used for this purpose. Minimum Energy (ME Codes) code is the one which uses very less energy for transmission of data. ME codes use On Off Keying Modulation (OOK), in which carrier signal is sent during data bit ‘1’ called ‘high bit’ and no carrier signal is sent during data bit ‘0’. Thus by reducing number of high bits in data we can save energy. ME codes map the original data with code words with less high bits, thus reducing energy used by code. Simulating ME codes in Matlab R2007a with communication toolbox we observed that energy consumed by these coeds decreases considerably as message length (and hence codeword length) increases

Published Paper   E-Certificate

"Performance Analysis of Minimum Energy Code in Wireless Sensor Networks", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.2, Issue 6, page no.138-142, June-2017, Available :https://ijnrd.org/papers/IJNRD1706024.pdf

Volume 2 Issue 6, June-2017

Pages : 138-142

Paper Reg. ID: IJNRD_170068

Published Paper Id: IJNRD1706024

Downloads: 000118796

Research Area: Engineering

Country: HARIHARA, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD1706024

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1706024

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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