Fuzzy logic optimisation of MAC parameters and sleeping duty-cycles in wireless sensor networks

John Wallace; Dirk Pesch; Susan Rea; James Irvine

doi:10.1109/VETECF.2005.1558421

Fuzzy logic optimisation of MAC parameters and sleeping duty-cycles in wireless sensor networks

John Wallace
, Dirk Pesch
, Susan Rea
, James Irvine

Munster Technological University
University of Strathclyde

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

Abstract

Quality-of-Service, fairness, low power consumption, low latency and high throughput are all desirable attributes of medium access control (MAC) protocols. MAC protocols for sensor networks are designed with one principal attribute in mind - low power consumption. Minimizing power usage becomes the principal objective of MAC protocol design. This paper proposes FuzzyMAC, a CSMA/CA based MAC protocol that utilizes two separate fuzzy logic controllers to optimize both, MAC parameters and a sleeping schedule duty-cycle. A second fuzzy logic controller attempts to optimize the size of the contention window using three performance metrics as inputs. The primary goal of both fuzzy logic controllers is to ensure maximum power efficiency of the network, which is demonstrated by the results. However, some increased latency results from the adaptive sleeping clycles.

Original language	English
Title of host publication	VTC 2005-Fall
Subtitle of host publication	Mid Way Through the Decade - Technology Past, Present and Future
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1824-1828
Number of pages	5
ISBN (Electronic)	0780391527
DOIs	https://doi.org/10.1109/VETECF.2005.1558421
Publication status	Published - 2005
Externally published	Yes
Event	62nd Vehicular Technology Conference, VTC 2005 - Dallas, United States Duration: 25 Sep 2005 → 28 Sep 2005

Publication series

Name	IEEE Vehicular Technology Conference
Volume	3
ISSN (Print)	1550-2252

Conference

Conference	62nd Vehicular Technology Conference, VTC 2005
Country/Territory	United States
City	Dallas
Period	25/09/05 → 28/09/05

Keywords

Fuzzy logic
Medium access control
Sensor networks

Access to Document

10.1109/VETECF.2005.1558421

Cite this

Wallace, J., Pesch, D., Rea, S., & Irvine, J. (2005). Fuzzy logic optimisation of MAC parameters and sleeping duty-cycles in wireless sensor networks. In VTC 2005-Fall: Mid Way Through the Decade - Technology Past, Present and Future (pp. 1824-1828). Article 1558421 (IEEE Vehicular Technology Conference; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VETECF.2005.1558421

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title = "Fuzzy logic optimisation of MAC parameters and sleeping duty-cycles in wireless sensor networks",

abstract = "Quality-of-Service, fairness, low power consumption, low latency and high throughput are all desirable attributes of medium access control (MAC) protocols. MAC protocols for sensor networks are designed with one principal attribute in mind - low power consumption. Minimizing power usage becomes the principal objective of MAC protocol design. This paper proposes FuzzyMAC, a CSMA/CA based MAC protocol that utilizes two separate fuzzy logic controllers to optimize both, MAC parameters and a sleeping schedule duty-cycle. A second fuzzy logic controller attempts to optimize the size of the contention window using three performance metrics as inputs. The primary goal of both fuzzy logic controllers is to ensure maximum power efficiency of the network, which is demonstrated by the results. However, some increased latency results from the adaptive sleeping clycles.",

keywords = "Fuzzy logic, Medium access control, Sensor networks",

author = "John Wallace and Dirk Pesch and Susan Rea and James Irvine",

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year = "2005",

doi = "10.1109/VETECF.2005.1558421",

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Wallace, J, Pesch, D, Rea, S & Irvine, J 2005, Fuzzy logic optimisation of MAC parameters and sleeping duty-cycles in wireless sensor networks. in VTC 2005-Fall: Mid Way Through the Decade - Technology Past, Present and Future., 1558421, IEEE Vehicular Technology Conference, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 1824-1828, 62nd Vehicular Technology Conference, VTC 2005, Dallas, United States, 25/09/05. https://doi.org/10.1109/VETECF.2005.1558421

Fuzzy logic optimisation of MAC parameters and sleeping duty-cycles in wireless sensor networks. / Wallace, John; Pesch, Dirk; Rea, Susan et al.
VTC 2005-Fall: Mid Way Through the Decade - Technology Past, Present and Future. Institute of Electrical and Electronics Engineers Inc., 2005. p. 1824-1828 1558421 (IEEE Vehicular Technology Conference; Vol. 3).

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

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AB - Quality-of-Service, fairness, low power consumption, low latency and high throughput are all desirable attributes of medium access control (MAC) protocols. MAC protocols for sensor networks are designed with one principal attribute in mind - low power consumption. Minimizing power usage becomes the principal objective of MAC protocol design. This paper proposes FuzzyMAC, a CSMA/CA based MAC protocol that utilizes two separate fuzzy logic controllers to optimize both, MAC parameters and a sleeping schedule duty-cycle. A second fuzzy logic controller attempts to optimize the size of the contention window using three performance metrics as inputs. The primary goal of both fuzzy logic controllers is to ensure maximum power efficiency of the network, which is demonstrated by the results. However, some increased latency results from the adaptive sleeping clycles.

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KW - Sensor networks

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Wallace J, Pesch D, Rea S, Irvine J. Fuzzy logic optimisation of MAC parameters and sleeping duty-cycles in wireless sensor networks. In VTC 2005-Fall: Mid Way Through the Decade - Technology Past, Present and Future. Institute of Electrical and Electronics Engineers Inc. 2005. p. 1824-1828. 1558421. (IEEE Vehicular Technology Conference). doi: 10.1109/VETECF.2005.1558421

Fuzzy logic optimisation of MAC parameters and sleeping duty-cycles in wireless sensor networks

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