TY - GEN
T1 - Analysis of error control code use in ultra-low-power wireless sensor networks
AU - Sadeghi, Nima
AU - Howard, Sheryl
AU - Kasnavi, Soraya
AU - Iniewski, Kris
AU - Gaudet, Vincent C.
AU - Schlegel, Christian
PY - 2006
Y1 - 2006
N2 - High-speed wireless sensor networks are currently being considered for a variety of communication applications such as environmental, medical, industrial or security scenarios. For increased transmission rates given the limited embedded battery lifetime, ultra-low-power circuitry is needed in the sensors and processors. Much research is being undertaken in these different areas at the device, circuit, system and network levels. Although using error control coding (ECC) potentially reduces the required transmit power for reliable communication, higher decoder complexity increases the required processing energy. The above tradeoff is explored in this paper to find when use of ECC results in more power-efficient systems. Several recently implemented decoders are analyzed, comparing both analog and digital implementations. The four most energy-efficient decoders are analog decoders. The best analog decoder becomes energy-efficient at about 1/4 the distance of the best digital implementation.
AB - High-speed wireless sensor networks are currently being considered for a variety of communication applications such as environmental, medical, industrial or security scenarios. For increased transmission rates given the limited embedded battery lifetime, ultra-low-power circuitry is needed in the sensors and processors. Much research is being undertaken in these different areas at the device, circuit, system and network levels. Although using error control coding (ECC) potentially reduces the required transmit power for reliable communication, higher decoder complexity increases the required processing energy. The above tradeoff is explored in this paper to find when use of ECC results in more power-efficient systems. Several recently implemented decoders are analyzed, comparing both analog and digital implementations. The four most energy-efficient decoders are analog decoders. The best analog decoder becomes energy-efficient at about 1/4 the distance of the best digital implementation.
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M3 - Conference contribution
AN - SCOPUS:34547326044
SN - 0780393902
SN - 9780780393905
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 3558
EP - 3561
BT - ISCAS 2006
T2 - ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems
Y2 - 21 May 2006 through 24 May 2006
ER -