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Adaptive transmission power control and coding for wireless sensor networks

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

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Adaptive transmission power control and coding for wireless sensor networks. / Wadekar, Raju; Stankovic, Lina; Honary, Bahram.
The IET Communications Conference on Wireless, Mobile and Sensor Networks 2007. Shanghai, China: IET Press, 2007. p. 1063-1066.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Wadekar, R, Stankovic, L & Honary, B 2007, Adaptive transmission power control and coding for wireless sensor networks. in The IET Communications Conference on Wireless, Mobile and Sensor Networks 2007. IET Press, Shanghai, China, pp. 1063-1066. https://doi.org/10.1049/cp:20070335

APA

Wadekar, R., Stankovic, L., & Honary, B. (2007). Adaptive transmission power control and coding for wireless sensor networks. In The IET Communications Conference on Wireless, Mobile and Sensor Networks 2007 (pp. 1063-1066). IET Press. https://doi.org/10.1049/cp:20070335

Vancouver

Wadekar R, Stankovic L, Honary B. Adaptive transmission power control and coding for wireless sensor networks. In The IET Communications Conference on Wireless, Mobile and Sensor Networks 2007. Shanghai, China: IET Press. 2007. p. 1063-1066 doi: 10.1049/cp:20070335

Author

Wadekar, Raju ; Stankovic, Lina ; Honary, Bahram. / Adaptive transmission power control and coding for wireless sensor networks. The IET Communications Conference on Wireless, Mobile and Sensor Networks 2007. Shanghai, China : IET Press, 2007. pp. 1063-1066

Bibtex

@inproceedings{0e89b49845c34029820a516db50683c9,
title = "Adaptive transmission power control and coding for wireless sensor networks",
abstract = "Wireless Sensor Networks impose a requirement of low power usage, implying minimal processing power on PHY/MAC layer transmissions. However the underlying channel between nodes can sometimes be hostile and incur interference from heavy traffic. In this situation a customized, simple, robust and adaptive forward error correction scheme is essential. This paper proposes an adaptive transmission power control and coding (ATPCC) algorithm for wireless sensor networks. The objectives of ATPCC are to enable every node in a sensor network and find the minimum transmission power levels that can provide good link qualities for its neighbouring nodes and efficient use of transmitting power. The algorithm uses rate compatible partial unit memory (RCPUM) codes, which have properties of both block and convolutional codes but require low encoding and decoding complexity. These RCPUM codes are bandwidth efficient in the sense that higher code rates are embedded within lower code rates and only parts of the codeword need to be transmitted depending on link conditions.",
author = "Raju Wadekar and Lina Stankovic and Bahram Honary",
year = "2007",
month = dec,
doi = "10.1049/cp:20070335",
language = "English",
isbn = "978-0-8634-1836-5",
pages = "1063--1066",
booktitle = "The IET Communications Conference on Wireless, Mobile and Sensor Networks 2007",
publisher = "IET Press",

}

RIS

TY - GEN

T1 - Adaptive transmission power control and coding for wireless sensor networks

AU - Wadekar, Raju

AU - Stankovic, Lina

AU - Honary, Bahram

PY - 2007/12

Y1 - 2007/12

N2 - Wireless Sensor Networks impose a requirement of low power usage, implying minimal processing power on PHY/MAC layer transmissions. However the underlying channel between nodes can sometimes be hostile and incur interference from heavy traffic. In this situation a customized, simple, robust and adaptive forward error correction scheme is essential. This paper proposes an adaptive transmission power control and coding (ATPCC) algorithm for wireless sensor networks. The objectives of ATPCC are to enable every node in a sensor network and find the minimum transmission power levels that can provide good link qualities for its neighbouring nodes and efficient use of transmitting power. The algorithm uses rate compatible partial unit memory (RCPUM) codes, which have properties of both block and convolutional codes but require low encoding and decoding complexity. These RCPUM codes are bandwidth efficient in the sense that higher code rates are embedded within lower code rates and only parts of the codeword need to be transmitted depending on link conditions.

AB - Wireless Sensor Networks impose a requirement of low power usage, implying minimal processing power on PHY/MAC layer transmissions. However the underlying channel between nodes can sometimes be hostile and incur interference from heavy traffic. In this situation a customized, simple, robust and adaptive forward error correction scheme is essential. This paper proposes an adaptive transmission power control and coding (ATPCC) algorithm for wireless sensor networks. The objectives of ATPCC are to enable every node in a sensor network and find the minimum transmission power levels that can provide good link qualities for its neighbouring nodes and efficient use of transmitting power. The algorithm uses rate compatible partial unit memory (RCPUM) codes, which have properties of both block and convolutional codes but require low encoding and decoding complexity. These RCPUM codes are bandwidth efficient in the sense that higher code rates are embedded within lower code rates and only parts of the codeword need to be transmitted depending on link conditions.

U2 - 10.1049/cp:20070335

DO - 10.1049/cp:20070335

M3 - Conference contribution/Paper

SN - 978-0-8634-1836-5

SP - 1063

EP - 1066

BT - The IET Communications Conference on Wireless, Mobile and Sensor Networks 2007

PB - IET Press

CY - Shanghai, China

ER -