Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments

F. Lavratti; A. R. Pinto; L. Bolzani; F. Vargas; C. Montez; F. Hernandez; E. Gatti; C. Silva

doi:10.1109/DSD.2010.116

Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments

F. Lavratti, A. R. Pinto, L. Bolzani, F. Vargas, C. Montez, F. Hernandez, E. Gatti, C. Silva

Sección de Ingeniería de Telecomunicaciones

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

2 Scopus citations

Abstract

Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. The WSN is composed of several nodes each provided with its separated power supply, e.g. battery. Working in hardly accessible places it is preferable to assure the adoption of the minimum transmission power in order to prolong as much as possible the WSN's lifetime. Though, we have to keep in mind that the reliability of the data transmitted represents a crucial requirement. Therefore, power optimization and reliability have become the most important concerns when dealing with modern systems based on WSN. In this context, we propose to evaluate the effectiveness of a Transmission Power Self-Optimization (TPSO) technique for WSNs in an Electromagnetic Interference (EMI) Environment. The TPSO technique consists of an algorithm able to guarantee an equally high Quality of Service (QoS), concentrating on the WSN's Efficiency (Ef), while optimizing the transmission power necessary for data communication. Thus, the main idea behind our approach is to reach a trade-off between Ef and energy consumption in an environment with inherent noise.

Original language	English
Title of host publication	Proceedings - 13th Euromicro Conference on Digital System Design
Subtitle of host publication	Architectures, Methods and Tools, DSD 2010
Pages	509-515
Number of pages	7
DOIs	https://doi.org/10.1109/DSD.2010.116
State	Published - 2010
Event	13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010 - Lille, France Duration: 1 Sep 2010 → 3 Sep 2010

Publication series

Name	Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010

Conference

Conference	13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010
Country/Territory	France
City	Lille
Period	1/09/10 → 3/09/10

Keywords

EMI
Energy optimization
QoS
WSN

Access to Document

10.1109/DSD.2010.116

Cite this

Lavratti, F., Pinto, A. R., Bolzani, L., Vargas, F., Montez, C., Hernandez, F., Gatti, E., & Silva, C. (2010). Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments. In Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010 (pp. 509-515). Article 5615557 (Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010). https://doi.org/10.1109/DSD.2010.116

Lavratti, F. ; Pinto, A. R. ; Bolzani, L. et al. / Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments. Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010. 2010. pp. 509-515 (Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010).

@inproceedings{1de539a0951e4d90ae572c2cc4b93d0c,

title = "Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments",

abstract = "Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. The WSN is composed of several nodes each provided with its separated power supply, e.g. battery. Working in hardly accessible places it is preferable to assure the adoption of the minimum transmission power in order to prolong as much as possible the WSN's lifetime. Though, we have to keep in mind that the reliability of the data transmitted represents a crucial requirement. Therefore, power optimization and reliability have become the most important concerns when dealing with modern systems based on WSN. In this context, we propose to evaluate the effectiveness of a Transmission Power Self-Optimization (TPSO) technique for WSNs in an Electromagnetic Interference (EMI) Environment. The TPSO technique consists of an algorithm able to guarantee an equally high Quality of Service (QoS), concentrating on the WSN's Efficiency (Ef), while optimizing the transmission power necessary for data communication. Thus, the main idea behind our approach is to reach a trade-off between Ef and energy consumption in an environment with inherent noise.",

keywords = "EMI, Energy optimization, QoS, WSN",

author = "F. Lavratti and Pinto, {A. R.} and L. Bolzani and F. Vargas and C. Montez and F. Hernandez and E. Gatti and C. Silva",

year = "2010",

doi = "10.1109/DSD.2010.116",

language = "English",

isbn = "9780769541716",

series = "Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010",

pages = "509--515",

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Lavratti, F, Pinto, AR, Bolzani, L, Vargas, F, Montez, C, Hernandez, F, Gatti, E & Silva, C 2010, Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments. in Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010., 5615557, Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010, pp. 509-515, 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010, Lille, France, 1/09/10. https://doi.org/10.1109/DSD.2010.116

Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments. / Lavratti, F.; Pinto, A. R.; Bolzani, L. et al.
Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010. 2010. p. 509-515 5615557 (Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010).

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

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AU - Lavratti, F.

AU - Pinto, A. R.

AU - Bolzani, L.

AU - Vargas, F.

AU - Montez, C.

AU - Hernandez, F.

AU - Gatti, E.

AU - Silva, C.

PY - 2010

Y1 - 2010

N2 - Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. The WSN is composed of several nodes each provided with its separated power supply, e.g. battery. Working in hardly accessible places it is preferable to assure the adoption of the minimum transmission power in order to prolong as much as possible the WSN's lifetime. Though, we have to keep in mind that the reliability of the data transmitted represents a crucial requirement. Therefore, power optimization and reliability have become the most important concerns when dealing with modern systems based on WSN. In this context, we propose to evaluate the effectiveness of a Transmission Power Self-Optimization (TPSO) technique for WSNs in an Electromagnetic Interference (EMI) Environment. The TPSO technique consists of an algorithm able to guarantee an equally high Quality of Service (QoS), concentrating on the WSN's Efficiency (Ef), while optimizing the transmission power necessary for data communication. Thus, the main idea behind our approach is to reach a trade-off between Ef and energy consumption in an environment with inherent noise.

AB - Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. The WSN is composed of several nodes each provided with its separated power supply, e.g. battery. Working in hardly accessible places it is preferable to assure the adoption of the minimum transmission power in order to prolong as much as possible the WSN's lifetime. Though, we have to keep in mind that the reliability of the data transmitted represents a crucial requirement. Therefore, power optimization and reliability have become the most important concerns when dealing with modern systems based on WSN. In this context, we propose to evaluate the effectiveness of a Transmission Power Self-Optimization (TPSO) technique for WSNs in an Electromagnetic Interference (EMI) Environment. The TPSO technique consists of an algorithm able to guarantee an equally high Quality of Service (QoS), concentrating on the WSN's Efficiency (Ef), while optimizing the transmission power necessary for data communication. Thus, the main idea behind our approach is to reach a trade-off between Ef and energy consumption in an environment with inherent noise.

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Lavratti F, Pinto AR, Bolzani L, Vargas F, Montez C, Hernandez F et al. Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments. In Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010. 2010. p. 509-515. 5615557. (Proceedings - 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010). doi: 10.1109/DSD.2010.116

Evaluating a Transmission Power Self-Optimization technique for WSN in EMI environments

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Keywords

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