Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2013-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/172012 |
| _version_ | 1797711736817582080 |
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| author | Ipek Caliskanelli James Harbin Leandro Soares Indrusiak Paul Mitchell Fiona Polack David Chesmore |
| author_facet | Ipek Caliskanelli James Harbin Leandro Soares Indrusiak Paul Mitchell Fiona Polack David Chesmore |
| author_sort | Ipek Caliskanelli |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T07:10:32Z |
| format | Article |
| id | doaj.art-c2e07bc4e3b24fe4946ba070b1c98aa6 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T07:10:32Z |
| publishDate | 2013-07-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-c2e07bc4e3b24fe4946ba070b1c98aa62023-09-02T23:08:06ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-07-01910.1155/2013/172012Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone SignallingIpek Caliskanelli0James Harbin1Leandro Soares Indrusiak2Paul Mitchell3Fiona Polack4David Chesmore5 Department of Computer Science, University of York, UK Department of Electronics, University of York, UK Department of Computer Science, University of York, UK Department of Electronics, University of York, UK Department of Computer Science, University of York, UK Department of Electronics, University of York, UKWireless 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.https://doi.org/10.1155/2013/172012 |
| spellingShingle | Ipek Caliskanelli James Harbin Leandro Soares Indrusiak Paul Mitchell Fiona Polack David Chesmore Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling International Journal of Distributed Sensor Networks |
| title | Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling |
| title_full | Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling |
| title_fullStr | Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling |
| title_full_unstemmed | Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling |
| title_short | Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling |
| title_sort | bioinspired load balancing in large scale wsns using pheromone signalling |
| url | https://doi.org/10.1155/2013/172012 |
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