Automatic Key Generation Using Motion Energy Harvesters

Qi Lin; Yisheng Cui; Shanqing Jiang; Tengyu Ma; Weitao XU; Wen Hu

Automatic Key Generation Using Motion Energy Harvesters

Qi Lin, Yisheng Cui, Shanqing Jiang, Tengyu Ma, Weitao XU, Wen Hu

Research output: Conference Papers › Poster › peer-review

Abstract

Kinetic energy harvesters (KEH) or motion energy harvesters currently become an attractive trend as a selfsustainable power solution of Internet of Things (IoT) devices. As utilizing the ambient motion as the power source, KEH can be treated as a gait information carrier as well as a energy generator. This work focuses on exploiting gait information, carried by one type of KEH: piezoelectric energy harvesters (PEHs), to develop a communication key scheme. The key coding scheme is based on quantization of captured samples. The results show that the system can work in a narrowed experimental environment.

Original language	English
Publication status	Published - Feb 2017
Externally published	Yes
Event	NDSS Symposium 2017 - Catamaran Resort Hotel & Spa, San Diego, United States Duration: 26 Feb 2017 → 1 Mar 2017

Conference

Conference	NDSS Symposium 2017
Country/Territory	United States
City	San Diego
Period	26/02/17 → 1/03/17

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@conference{7ee27effb7e44d5d9db5143a44000cde,

title = "Automatic Key Generation Using Motion Energy Harvesters",

abstract = "Kinetic energy harvesters (KEH) or motion energy harvesters currently become an attractive trend as a selfsustainable power solution of Internet of Things (IoT) devices. As utilizing the ambient motion as the power source, KEH can be treated as a gait information carrier as well as a energy generator. This work focuses on exploiting gait information, carried by one type of KEH: piezoelectric energy harvesters (PEHs), to develop a communication key scheme. The key coding scheme is based on quantization of captured samples. The results show that the system can work in a narrowed experimental environment.",

author = "Qi Lin and Yisheng Cui and Shanqing Jiang and Tengyu Ma and Weitao XU and Wen Hu",

year = "2017",

month = feb,

language = "English",

note = "NDSS Symposium 2017 ; Conference date: 26-02-2017 Through 01-03-2017",

}

TY - CONF

T1 - Automatic Key Generation Using Motion Energy Harvesters

AU - Lin, Qi

AU - Cui, Yisheng

AU - Jiang, Shanqing

AU - Ma, Tengyu

AU - XU, Weitao

AU - Hu, Wen

PY - 2017/2

Y1 - 2017/2

N2 - Kinetic energy harvesters (KEH) or motion energy harvesters currently become an attractive trend as a selfsustainable power solution of Internet of Things (IoT) devices. As utilizing the ambient motion as the power source, KEH can be treated as a gait information carrier as well as a energy generator. This work focuses on exploiting gait information, carried by one type of KEH: piezoelectric energy harvesters (PEHs), to develop a communication key scheme. The key coding scheme is based on quantization of captured samples. The results show that the system can work in a narrowed experimental environment.

AB - Kinetic energy harvesters (KEH) or motion energy harvesters currently become an attractive trend as a selfsustainable power solution of Internet of Things (IoT) devices. As utilizing the ambient motion as the power source, KEH can be treated as a gait information carrier as well as a energy generator. This work focuses on exploiting gait information, carried by one type of KEH: piezoelectric energy harvesters (PEHs), to develop a communication key scheme. The key coding scheme is based on quantization of captured samples. The results show that the system can work in a narrowed experimental environment.

UR - https://www.ndss-symposium.org/wp-content/uploads/2017/09/NDSS-2017_Paper_Qi.pdf

UR - https://www.ndss-symposium.org/ndss2017/

M3 - Poster

T2 - NDSS Symposium 2017

Y2 - 26 February 2017 through 1 March 2017

ER -

Automatic Key Generation Using Motion Energy Harvesters

Abstract

Conference

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this