Low-energy algorithm for self-controlled wireless sensor nodes

Ahmad  Muzaffar; Mika Saari; Pekka  Sillberg; Petri  Rantanen; Jari  Soini; Tadahiro Kudora

doi:10.1109/WINCOM.2016.7777188

Low-energy algorithm for self-controlled wireless sensor nodes

Ahmad Muzaffar, Mika Saari, Pekka Sillberg, Petri Rantanen, Jari Soini, Tadahiro Kudora

Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

10 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	The 4th International Conference on Wireless Networks and Mobile Communications (WINCOM), At Fez, Morocco
Alaotsikko	Oct 26, 2016 - Oct 29, 2016
Kustantaja	IEEE
Sivut	1-5
Sivumäärä	5
ISBN (elektroninen)	978-1-5090-3837-4
DOI - pysyväislinkit	https://doi.org/10.1109/WINCOM.2016.7777188
Tila	Julkaistu - lokak. 2016
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International conference on wireless networks and mobile communications - Kesto: 12 jouluk. 2016 → …

Conference

Conference	International conference on wireless networks and mobile communications
Ajanjakso	12/12/16 → …

Julkaisufoorumi-taso

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Pääsy asiakirjaan

10.1109/WINCOM.2016.7777188

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@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 = oct,

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",

note = "International conference on wireless networks and mobile communications ; Conference date: 12-12-2016",

}

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, International conference on wireless networks and mobile communications, 12/12/16. https://doi.org/10.1109/WINCOM.2016.7777188

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

T2 - International conference on wireless networks and mobile communications

Y2 - 12 December 2016

ER -

Low-energy algorithm for self-controlled wireless sensor nodes

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