Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling

Ipek Caliskanelli; James Robert Harbin; Leandro Soares Indrusiak; Paul Daniel Mitchell; Fiona A C Polack; David Chesmore

doi:10.1155/2013/172012

Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling

Ipek Caliskanelli, James Robert Harbin, Leandro Soares Indrusiak, Paul Daniel Mitchell, Fiona A C Polack, David Chesmore

Research output: Contribution to journal › Article › peer-review

Abstract

Wireless sensor networks (WSNs) consist of multiple, distributed nodes each with limited resources. With their strict resource constraints and application-specific characteristics, WSNs contain many challenging tradeoffs. This paper proposes a bioinspired load balancing approach, based on pheromone signalling mechanisms, to solve the tradeoff between service availability and energy consumption. We explore the performance consequences of the pheromone-based load balancing approach using (1) a system-level simulator, (2) deployment of real sensor testbeds to provide a competitive analysis of these evaluation methodologies. The effectiveness of the proposed algorithm is evaluated with different scenario parameters and the required performance evaluation techniques are investigated on case studies based on sound sensors.

Original language	English
Article number	172012
Pages (from-to)	1-14
Number of pages	14
Journal	International Journal of Distributed Sensor Networks
Volume	2013
Issue number	n/a
DOIs	https://doi.org/10.1155/2013/172012
Publication status	Published - 2013

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10.1155/2013/172012

http://www.hindawi.com/journals/ijdsn/2013/172012/

4th Brazil Korea Forum on Science, Technology and Innovation
Leandro Soares Indrusiak (Keynote/plenary speaker)
27 Aug 2014
Activity: Talk or presentation › Invited talk
Bio-inspired Resource Management in Multiprocessor and Distributed Computing
Leandro Soares Indrusiak (Invited speaker)
14 Aug 2014
Activity: Talk or presentation › Invited talk

Cite this

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title = "Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling",

abstract = "Wireless sensor networks (WSNs) consist of multiple, distributed nodes each with limited resources. With their strict resource constraints and application-specific characteristics, WSNs contain many challenging tradeoffs. This paper proposes a bioinspired load balancing approach, based on pheromone signalling mechanisms, to solve the tradeoff between service availability and energy consumption. We explore the performance consequences of the pheromone-based load balancing approach using (1) a system-level simulator, (2) deployment of real sensor testbeds to provide a competitive analysis of these evaluation methodologies. The effectiveness of the proposed algorithm is evaluated with different scenario parameters and the required performance evaluation techniques are investigated on case studies based on sound sensors.",

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AU - Caliskanelli, Ipek

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AU - Soares Indrusiak, Leandro

AU - Mitchell, Paul Daniel

AU - Polack, Fiona A C

AU - Chesmore, David

PY - 2013

Y1 - 2013

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AB - Wireless sensor networks (WSNs) consist of multiple, distributed nodes each with limited resources. With their strict resource constraints and application-specific characteristics, WSNs contain many challenging tradeoffs. This paper proposes a bioinspired load balancing approach, based on pheromone signalling mechanisms, to solve the tradeoff between service availability and energy consumption. We explore the performance consequences of the pheromone-based load balancing approach using (1) a system-level simulator, (2) deployment of real sensor testbeds to provide a competitive analysis of these evaluation methodologies. The effectiveness of the proposed algorithm is evaluated with different scenario parameters and the required performance evaluation techniques are investigated on case studies based on sound sensors.

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DO - 10.1155/2013/172012

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JO - International Journal of Distributed Sensor Networks

JF - International Journal of Distributed Sensor Networks

IS - n/a

M1 - 172012

ER -

Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling

Abstract

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Activities

4th Brazil Korea Forum on Science, Technology and Innovation

Bio-inspired Resource Management in Multiprocessor and Distributed Computing

Cite this