MOSFET-based Ultra-low-power Realization of Analog Joint Source-Channel Coding for IoTs

Vidyasagar Sadhu; Mehdi Rahmati; Dario Pompili

doi:10.1109/SAHCN.2019.8824940

MOSFET-based Ultra-low-power Realization of Analog Joint Source-Channel Coding for IoTs

Vidyasagar Sadhu
, Mehdi Rahmati
, Dario Pompili

Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Certain sensing applications such as Internet of Things (IoTs), where the sensing phenomenon may change rapidly in both time and space, require sensors that consume ultra-low power devices (so as to be able to collect data continuously and not lose temporal and spatial resolution) and have low costs (for high density deployment). A novel encoding based on Metal Oxide Semiconductor Field Effect Transistors (MOS-FETs) is proposed to realize Analog Joint Source Channel Coding (AJSCC), a low-complexity technique to compress two (or more) signals into one with controlled distortion. The approach is verified via Spice simulations and breadboard implementation.

Original language	English
Title of host publication	Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
Place of Publication	usa
Publisher	IEEE Computer [email protected]
Volume	2019-June
ISBN (Electronic)	9781728112077
DOIs	https://doi.org/10.1109/SAHCN.2019.8824940
State	Published - Jun 1 2019
Event	16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019 - Boston, United States Duration: Jun 10 2019 → Jun 13 2019

Conference

Conference	16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
Country/Territory	United States
City	Boston
Period	06/10/19 → 06/13/19

Keywords

field effect transistors
Internet of things
joint source channel coding
ultra low power
wireless sensor networks

Access to Document

10.1109/SAHCN.2019.8824940

Cite this

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title = "MOSFET-based Ultra-low-power Realization of Analog Joint Source-Channel Coding for IoTs",

abstract = "Certain sensing applications such as Internet of Things (IoTs), where the sensing phenomenon may change rapidly in both time and space, require sensors that consume ultra-low power devices (so as to be able to collect data continuously and not lose temporal and spatial resolution) and have low costs (for high density deployment). A novel encoding based on Metal Oxide Semiconductor Field Effect Transistors (MOS-FETs) is proposed to realize Analog Joint Source Channel Coding (AJSCC), a low-complexity technique to compress two (or more) signals into one with controlled distortion. The approach is verified via Spice simulations and breadboard implementation.",

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author = "Vidyasagar Sadhu and Mehdi Rahmati and Dario Pompili",

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doi = "10.1109/SAHCN.2019.8824940",

language = "English",

volume = "2019-June",

booktitle = "Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops",

publisher = "IEEE Computer [email protected]",

note = "16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019 ; Conference date: 10-06-2019 Through 13-06-2019",

}

Sadhu, V, Rahmati, M & Pompili, D 2019, MOSFET-based Ultra-low-power Realization of Analog Joint Source-Channel Coding for IoTs. in Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops. vol. 2019-June, 8824940, IEEE Computer [email protected], usa, 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019, Boston, United States, 06/10/19. https://doi.org/10.1109/SAHCN.2019.8824940

MOSFET-based Ultra-low-power Realization of Analog Joint Source-Channel Coding for IoTs. / Sadhu, Vidyasagar; Rahmati, Mehdi; Pompili, Dario.
Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops. Vol. 2019-June usa: IEEE Computer [email protected], 2019. 8824940.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - MOSFET-based Ultra-low-power Realization of Analog Joint Source-Channel Coding for IoTs

AU - Sadhu, Vidyasagar

AU - Rahmati, Mehdi

AU - Pompili, Dario

PY - 2019/6/1

Y1 - 2019/6/1

N2 - Certain sensing applications such as Internet of Things (IoTs), where the sensing phenomenon may change rapidly in both time and space, require sensors that consume ultra-low power devices (so as to be able to collect data continuously and not lose temporal and spatial resolution) and have low costs (for high density deployment). A novel encoding based on Metal Oxide Semiconductor Field Effect Transistors (MOS-FETs) is proposed to realize Analog Joint Source Channel Coding (AJSCC), a low-complexity technique to compress two (or more) signals into one with controlled distortion. The approach is verified via Spice simulations and breadboard implementation.

AB - Certain sensing applications such as Internet of Things (IoTs), where the sensing phenomenon may change rapidly in both time and space, require sensors that consume ultra-low power devices (so as to be able to collect data continuously and not lose temporal and spatial resolution) and have low costs (for high density deployment). A novel encoding based on Metal Oxide Semiconductor Field Effect Transistors (MOS-FETs) is proposed to realize Analog Joint Source Channel Coding (AJSCC), a low-complexity technique to compress two (or more) signals into one with controlled distortion. The approach is verified via Spice simulations and breadboard implementation.

KW - field effect transistors

KW - Internet of things

KW - joint source channel coding

KW - ultra low power

KW - wireless sensor networks

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U2 - 10.1109/SAHCN.2019.8824940

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M3 - Conference contribution

VL - 2019-June

BT - Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops

PB - IEEE Computer [email protected]

CY - usa

T2 - 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019

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ER -

MOSFET-based Ultra-low-power Realization of Analog Joint Source-Channel Coding for IoTs

Abstract

Conference

Keywords

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