DocumentCode :
2878929
Title :
On Hybrid ARQ adaptive Forward Error Correction in wireless sensor networks
Author :
Eriksson, Oskar ; Björnemo, Erik ; Ahlén, Anders ; Gidlund, Mikael
Author_Institution :
Dept. of Eng. Sci., Uppsala Univ., Uppsala, Sweden
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
3004
Lastpage :
3010
Abstract :
The use of wireless technology in the process industry is becoming increasingly important to obtain fast deployment at low cost. However, poor channel quality often leads to retransmissions, which are governed by Automatic Repeat Request (ARQ) schemes. While ARQ is a simple and useful tool to alleviate packet errors, it has considerable disadvantages: retransmissions lead to an increase in energy expenditure and latency. The use of Forward Error Correction (FEC) however offers several advantages. We consider a Hybrid-ARQ-Adaptive-FEC scheme (HAF) based on BCH codes and Channel State Information. This scheme is evaluated on AWGN and fading channels. It is shown that HAF offers significantly improved performance both in terms of energy efficiency and latency, as compared to ARQ.
Keywords :
AWGN channels; BCH codes; automatic repeat request; channel coding; energy conservation; fading channels; forward error correction; wireless sensor networks; AWGN channels; BCH codes; adaptive FEC; automatic repeat request; channel state information; energy efficiency; fading channels; forward error correction; hybrid-ARQ; latency; process industry; wireless channel; wireless sensor networks; Automatic repeat request; Energy consumption; Forward error correction; Numerical models; Process control; Signal to noise ratio; Wireless sensor networks; FEC; HARQ; adaptive FEC; forward error correction; hybrid ARQ; process control; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6119788
Filename :
6119788
Link To Document :
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