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Analysis of Energy Conservation in Sensor Networks.

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Analysis of Energy Conservation in Sensor Networks. / Gao, Q.; Blow, K. J.; Holding, D. J. et al.
In: Wireless Networks, Vol. 11, No. 6, 01.11.2005, p. 787-794.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Gao, Q, Blow, KJ, Holding, DJ & Marshall, I 2005, 'Analysis of Energy Conservation in Sensor Networks.', Wireless Networks, vol. 11, no. 6, pp. 787-794. https://doi.org/10.1007/s11276-005-3531-8

APA

Gao, Q., Blow, K. J., Holding, D. J., & Marshall, I. (2005). Analysis of Energy Conservation in Sensor Networks. Wireless Networks, 11(6), 787-794. https://doi.org/10.1007/s11276-005-3531-8

Vancouver

Gao Q, Blow KJ, Holding DJ, Marshall I. Analysis of Energy Conservation in Sensor Networks. Wireless Networks. 2005 Nov 1;11(6):787-794. doi: 10.1007/s11276-005-3531-8

Author

Gao, Q. ; Blow, K. J. ; Holding, D. J. et al. / Analysis of Energy Conservation in Sensor Networks. In: Wireless Networks. 2005 ; Vol. 11, No. 6. pp. 787-794.

Bibtex

@article{787aee9b22b84955a4e75019dbced835,
title = "Analysis of Energy Conservation in Sensor Networks.",
abstract = "In this paper we use the Erlang theory to quantitatively analyse the trade offs between energy conservation and quality of service in an ad-hoc wireless sensor network. Nodes can be either sleeping, where no transmission or reception can occur, or awake where traffic is processed. Increasing the proportion of time spent in the sleeping state will decrease throughput and increase packet loss and delivery delay. However there is a complex relationship between sleeping time and energy consumption. Increasing the sleeping time does not always lead to an increase in the energy saved. We identify the energy consumption profile for various levels of sensor network activity and derive an optimum energy saving curve that provides a basis for the design of extended-life ad hoc wireless sensor networks.",
keywords = "sensor networks - ad hoc networks - energy efficient design - QoS - Erlang formula",
author = "Q. Gao and Blow, {K. J.} and Holding, {D. J.} and Ian Marshall",
note = "This modeling work demonstrated multi-criterion optimization of the efficiency of sensor network communications protocols, and showed that the conventional approach of using hop by hop LAN protocols would not be optimal in low traffic, intermittent networks. The work was undertaken in close collaboration with the Aston co-authors during a prestigious (~4 per annum) Royal Society industry fellowship supported by BT and inspired the simple protocol recently developed for a NERC SBRI project with Salamander Ltd. RAE_import_type : Journal article RAE_uoa_type : Computer Science and Informatics",
year = "2005",
month = nov,
day = "1",
doi = "10.1007/s11276-005-3531-8",
language = "English",
volume = "11",
pages = "787--794",
journal = "Wireless Networks",
issn = "1022-0038",
publisher = "Springer Netherlands",
number = "6",

}

RIS

TY - JOUR

T1 - Analysis of Energy Conservation in Sensor Networks.

AU - Gao, Q.

AU - Blow, K. J.

AU - Holding, D. J.

AU - Marshall, Ian

N1 - This modeling work demonstrated multi-criterion optimization of the efficiency of sensor network communications protocols, and showed that the conventional approach of using hop by hop LAN protocols would not be optimal in low traffic, intermittent networks. The work was undertaken in close collaboration with the Aston co-authors during a prestigious (~4 per annum) Royal Society industry fellowship supported by BT and inspired the simple protocol recently developed for a NERC SBRI project with Salamander Ltd. RAE_import_type : Journal article RAE_uoa_type : Computer Science and Informatics

PY - 2005/11/1

Y1 - 2005/11/1

N2 - In this paper we use the Erlang theory to quantitatively analyse the trade offs between energy conservation and quality of service in an ad-hoc wireless sensor network. Nodes can be either sleeping, where no transmission or reception can occur, or awake where traffic is processed. Increasing the proportion of time spent in the sleeping state will decrease throughput and increase packet loss and delivery delay. However there is a complex relationship between sleeping time and energy consumption. Increasing the sleeping time does not always lead to an increase in the energy saved. We identify the energy consumption profile for various levels of sensor network activity and derive an optimum energy saving curve that provides a basis for the design of extended-life ad hoc wireless sensor networks.

AB - In this paper we use the Erlang theory to quantitatively analyse the trade offs between energy conservation and quality of service in an ad-hoc wireless sensor network. Nodes can be either sleeping, where no transmission or reception can occur, or awake where traffic is processed. Increasing the proportion of time spent in the sleeping state will decrease throughput and increase packet loss and delivery delay. However there is a complex relationship between sleeping time and energy consumption. Increasing the sleeping time does not always lead to an increase in the energy saved. We identify the energy consumption profile for various levels of sensor network activity and derive an optimum energy saving curve that provides a basis for the design of extended-life ad hoc wireless sensor networks.

KW - sensor networks - ad hoc networks - energy efficient design - QoS - Erlang formula

U2 - 10.1007/s11276-005-3531-8

DO - 10.1007/s11276-005-3531-8

M3 - Journal article

VL - 11

SP - 787

EP - 794

JO - Wireless Networks

JF - Wireless Networks

SN - 1022-0038

IS - 6

ER -