TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Low-energy algorithm for self-controlled wireless sensor nodes

Tutkimustuotosvertaisarvioitu

Standard

Low-energy algorithm for self-controlled wireless sensor nodes. / Muzaffar, Ahmad ; Saari, Mika; Sillberg, Pekka ; Rantanen, Petri ; Soini, Jari ; Kudora, Tadahiro.

The 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco: Oct 26, 2016 - Oct 29, 2016 . IEEE, 2016. s. 1-5.

Tutkimustuotosvertaisarvioitu

Harvard

Muzaffar, A, Saari, M, Sillberg, P, Rantanen, P, Soini, J & Kudora, T 2016, Low-energy algorithm for self-controlled wireless sensor nodes. julkaisussa The 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco: Oct 26, 2016 - Oct 29, 2016 . IEEE, Sivut 1-5, 12/12/16. https://doi.org/10.1109/WINCOM.2016.7777188

APA

Muzaffar, A., Saari, M., Sillberg, P., Rantanen, P., Soini, J., & Kudora, T. (2016). Low-energy algorithm for self-controlled wireless sensor nodes. teoksessa The 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco: Oct 26, 2016 - Oct 29, 2016 (Sivut 1-5). IEEE. https://doi.org/10.1109/WINCOM.2016.7777188

Vancouver

Muzaffar A, Saari M, Sillberg P, Rantanen P, Soini J, Kudora T. Low-energy algorithm for self-controlled wireless sensor nodes. julkaisussa The 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco: Oct 26, 2016 - Oct 29, 2016 . IEEE. 2016. s. 1-5 https://doi.org/10.1109/WINCOM.2016.7777188

Author

Muzaffar, Ahmad ; Saari, Mika ; Sillberg, Pekka ; Rantanen, Petri ; Soini, Jari ; Kudora, Tadahiro. / Low-energy algorithm for self-controlled wireless sensor nodes. The 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco: Oct 26, 2016 - Oct 29, 2016 . IEEE, 2016. Sivut 1-5

Bibtex - Lataa

@inproceedings{1e6e0a66164f4e1697c14ea3abb245c6,
title = "Low-energy algorithm for self-controlled wireless sensor nodes",
abstract = "In Internet of Things (IoT), the lifespan of Wireless Sensor Networks (WSN) has often become an issue. Sensor nodes are typically battery powered. However, high energy consumption by Radio Frequency (RF) module limits the lifespan of sensor nodes. In conventional WSN, the frequency of data transmission is normally fixed or adjusted according to requests from the gateway. In this paper, we present a WSN system for intelligent sensing. We propose a low-energy algorithm for sensor data transmission from sensor nodes for such system. In this algorithm, the sensor nodes are able to self-control their data transmission according to the trends of data. We adopt Adaptive Duty Cycle for adjustment of data transmission frequency and Compressive Sensing (CS) for sensor data compression. The simulation results show that Collective Transmission with CS-based data compression achieves 83.34{\%} of RF energy reduction for the best-case transmission and 83.31{\%} of RF energy reduction in the worst-case transmission, compared to the Continuous Transmission.",
author = "Ahmad Muzaffar and Mika Saari and Pekka Sillberg and Petri Rantanen and Jari Soini and Tadahiro Kudora",
year = "2016",
month = "10",
doi = "10.1109/WINCOM.2016.7777188",
language = "English",
pages = "1--5",
booktitle = "The 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Low-energy algorithm for self-controlled wireless sensor nodes

AU - Muzaffar, Ahmad

AU - Saari, Mika

AU - Sillberg, Pekka

AU - Rantanen, Petri

AU - Soini, Jari

AU - Kudora, Tadahiro

PY - 2016/10

Y1 - 2016/10

N2 - In Internet of Things (IoT), the lifespan of Wireless Sensor Networks (WSN) has often become an issue. Sensor nodes are typically battery powered. However, high energy consumption by Radio Frequency (RF) module limits the lifespan of sensor nodes. In conventional WSN, the frequency of data transmission is normally fixed or adjusted according to requests from the gateway. In this paper, we present a WSN system for intelligent sensing. We propose a low-energy algorithm for sensor data transmission from sensor nodes for such system. In this algorithm, the sensor nodes are able to self-control their data transmission according to the trends of data. We adopt Adaptive Duty Cycle for adjustment of data transmission frequency and Compressive Sensing (CS) for sensor data compression. The simulation results show that Collective Transmission with CS-based data compression achieves 83.34% of RF energy reduction for the best-case transmission and 83.31% of RF energy reduction in the worst-case transmission, compared to the Continuous Transmission.

AB - In Internet of Things (IoT), the lifespan of Wireless Sensor Networks (WSN) has often become an issue. Sensor nodes are typically battery powered. However, high energy consumption by Radio Frequency (RF) module limits the lifespan of sensor nodes. In conventional WSN, the frequency of data transmission is normally fixed or adjusted according to requests from the gateway. In this paper, we present a WSN system for intelligent sensing. We propose a low-energy algorithm for sensor data transmission from sensor nodes for such system. In this algorithm, the sensor nodes are able to self-control their data transmission according to the trends of data. We adopt Adaptive Duty Cycle for adjustment of data transmission frequency and Compressive Sensing (CS) for sensor data compression. The simulation results show that Collective Transmission with CS-based data compression achieves 83.34% of RF energy reduction for the best-case transmission and 83.31% of RF energy reduction in the worst-case transmission, compared to the Continuous Transmission.

UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7777188

UR - http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=53831&copyownerid=87517

U2 - 10.1109/WINCOM.2016.7777188

DO - 10.1109/WINCOM.2016.7777188

M3 - Conference contribution

SP - 1

EP - 5

BT - The 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco

PB - IEEE

ER -