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Operation strategy for energy harvesting wireless sensor networks. / Shakhov, Vladimir; Migov, Denis A.; Rodionov, Alexey S.

ACM IMCOM 2015 - Proceedings. Association for Computing Machinery, Inc, 2015. a12 (ACM IMCOM 2015 - Proceedings).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Shakhov, V, Migov, DA & Rodionov, AS 2015, Operation strategy for energy harvesting wireless sensor networks. в ACM IMCOM 2015 - Proceedings., a12, ACM IMCOM 2015 - Proceedings, Association for Computing Machinery, Inc, 9th International Conference on Ubiquitous Information Management and Communication, ACM IMCOM 2015, Bali, Индонезия, 08.01.2015. https://doi.org/10.1145/2701126.2701216

APA

Shakhov, V., Migov, D. A., & Rodionov, A. S. (2015). Operation strategy for energy harvesting wireless sensor networks. в ACM IMCOM 2015 - Proceedings [a12] (ACM IMCOM 2015 - Proceedings). Association for Computing Machinery, Inc. https://doi.org/10.1145/2701126.2701216

Vancouver

Shakhov V, Migov DA, Rodionov AS. Operation strategy for energy harvesting wireless sensor networks. в ACM IMCOM 2015 - Proceedings. Association for Computing Machinery, Inc. 2015. a12. (ACM IMCOM 2015 - Proceedings). doi: 10.1145/2701126.2701216

Author

Shakhov, Vladimir ; Migov, Denis A. ; Rodionov, Alexey S. / Operation strategy for energy harvesting wireless sensor networks. ACM IMCOM 2015 - Proceedings. Association for Computing Machinery, Inc, 2015. (ACM IMCOM 2015 - Proceedings).

BibTeX

@inproceedings{17f59040b2bd4209a7ad13b3762d84dd,
title = "Operation strategy for energy harvesting wireless sensor networks",
abstract = "Over the past few years wireless sensor networks applications have evolved from a stage where these networks were designed in a technology-dependent manner to a stage where some conceptual understanding issues now exist. As wireless sensor networks are deployed, energy consumption emerges as a core requirement. Recent advances in energy harvesting technology for wireless devices have increased the lifetime and performance of wireless sensor node. It is useful to get a tradeoff between the duration of energy harvesting and network reliability. Previous investigations are mostly focused on duty cycle optimizing. An interrelation of energy harvesting schedule and network reliability has not been considered. To fill this gap we formulate optimizing problems for operation strategy of Energy Harvesting Wireless Sensor Networks. A problem solving approach is considered as well.",
keywords = "Duty Cycle, Energy Consumption, Energy Harvesting, Wireless Sensor Network",
author = "Vladimir Shakhov and Migov, {Denis A.} and Rodionov, {Alexey S.}",
year = "2015",
month = jan,
day = "8",
doi = "10.1145/2701126.2701216",
language = "English",
series = "ACM IMCOM 2015 - Proceedings",
publisher = "Association for Computing Machinery, Inc",
booktitle = "ACM IMCOM 2015 - Proceedings",
note = "9th International Conference on Ubiquitous Information Management and Communication, ACM IMCOM 2015 ; Conference date: 08-01-2015 Through 10-01-2015",

}

RIS

TY - GEN

T1 - Operation strategy for energy harvesting wireless sensor networks

AU - Shakhov, Vladimir

AU - Migov, Denis A.

AU - Rodionov, Alexey S.

PY - 2015/1/8

Y1 - 2015/1/8

N2 - Over the past few years wireless sensor networks applications have evolved from a stage where these networks were designed in a technology-dependent manner to a stage where some conceptual understanding issues now exist. As wireless sensor networks are deployed, energy consumption emerges as a core requirement. Recent advances in energy harvesting technology for wireless devices have increased the lifetime and performance of wireless sensor node. It is useful to get a tradeoff between the duration of energy harvesting and network reliability. Previous investigations are mostly focused on duty cycle optimizing. An interrelation of energy harvesting schedule and network reliability has not been considered. To fill this gap we formulate optimizing problems for operation strategy of Energy Harvesting Wireless Sensor Networks. A problem solving approach is considered as well.

AB - Over the past few years wireless sensor networks applications have evolved from a stage where these networks were designed in a technology-dependent manner to a stage where some conceptual understanding issues now exist. As wireless sensor networks are deployed, energy consumption emerges as a core requirement. Recent advances in energy harvesting technology for wireless devices have increased the lifetime and performance of wireless sensor node. It is useful to get a tradeoff between the duration of energy harvesting and network reliability. Previous investigations are mostly focused on duty cycle optimizing. An interrelation of energy harvesting schedule and network reliability has not been considered. To fill this gap we formulate optimizing problems for operation strategy of Energy Harvesting Wireless Sensor Networks. A problem solving approach is considered as well.

KW - Duty Cycle

KW - Energy Consumption

KW - Energy Harvesting

KW - Wireless Sensor Network

UR - http://www.scopus.com/inward/record.url?scp=84926178872&partnerID=8YFLogxK

U2 - 10.1145/2701126.2701216

DO - 10.1145/2701126.2701216

M3 - Conference contribution

AN - SCOPUS:84926178872

T3 - ACM IMCOM 2015 - Proceedings

BT - ACM IMCOM 2015 - Proceedings

PB - Association for Computing Machinery, Inc

T2 - 9th International Conference on Ubiquitous Information Management and Communication, ACM IMCOM 2015

Y2 - 8 January 2015 through 10 January 2015

ER -

ID: 25330685