DocumentCode
3371139
Title
Performance analysis of efficient coding schemes for wireless sensor networks
Author
Ez-zazi, Imad ; Arioua, Mounir ; el Oualkadi, Ahmed ; el Assari, Younes
Author_Institution
Nat. Sch. of Appl. Sci., Abdelmlek Essaadi Univ., Tangier, Morocco
fYear
2015
fDate
13-15 May 2015
Firstpage
42
Lastpage
47
Abstract
Energy consumption in sensor nodes and Link reliability are two of the major challenges in Wireless Sensor Networks (WSNs). The data exchanged between nodes and base station are vulnerable to corruption by errors induced by random noise, signal fading and other factors. In this regard, error control coding (ECC) is an efficient technique used to increase link reliability and to reduce the required transmitted power. In this context, the choice of energy efficient ECC with a suitable modulation scheme is a crucial task at the link and physical layer of wireless sensor networks to improve their lifetime. Since the WSNs are energy constraint in nature, both the probability of bit error rate (BER) and power consumption have to be taken into account. A performance analysis of error control coding schemes referring to BPSK modulation through a Gaussian channel (AWGN) is presented in this paper. Our results show that the RS(31,21) outperforms other ECC schemes and can be the optimal choice for wireless sensor network environment.
Keywords
Gaussian channels; error correction codes; phase shift keying; telecommunication network reliability; wireless sensor networks; BPSK modulation; Gaussian channel; bit error rate; efficient coding schemes; energy consumption; error control coding; link reliability; power consumption; wireless sensor networks; Bit error rate; Decoding; Encoding; Parity check codes; Reed-Solomon codes; Wireless sensor networks; AWGN; BER; ECC; LDPC; RS; SNR; WSN;
fLanguage
English
Publisher
ieee
Conference_Titel
RFID And Adaptive Wireless Sensor Networks (RAWSN), 2015 Third International Workshop on
Conference_Location
Agadir
Print_ISBN
978-1-4673-8095-9
Type
conf
DOI
10.1109/RAWSN.2015.7173277
Filename
7173277
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