Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - IEEE International Symposium on Circuits and Systems |
| Pages | 3558-3561 |
| Number of pages | 4 |
| State | Published - 2006 |
| Externally published | Yes |
| Event | ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems - Kos, Greece Duration: May 21 2006 → May 24 2006 |
Other
| Other | ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems |
|---|---|
| Country | Greece |
| City | Kos |
| Period | 5/21/06 → 5/24/06 |
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ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering
Cite this
Analysis of error control code use in ultra-low-power wireless sensor networks. / Sadeghi, Nima; Howard, Sheryl L; Kasnavi, Soraya; Iniewski, Kris; Gaudet, Vincent C.; Schlegel, Christian.
Proceedings - IEEE International Symposium on Circuits and Systems. 2006. p. 3558-3561 1693395.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Analysis of error control code use in ultra-low-power wireless sensor networks
AU - Sadeghi, Nima
AU - Howard, Sheryl L
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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UR - http://www.scopus.com/inward/citedby.url?scp=34547326044&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0780393902
SN - 9780780393905
SP - 3558
EP - 3561
BT - Proceedings - IEEE International Symposium on Circuits and Systems
ER -