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Reliable many-to-many routing in wireless sensor networks using ant colony optimisation
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Grosso, Jasmine, Jhumka, Arshad and Bradbury, Matthew S. (2019) Reliable many-to-many routing in wireless sensor networks using ant colony optimisation. In: European Dependable Computing Conference, Naples, Italy, 17-20 Sep 2019. Published in: 2019 15th European Dependable Computing Conference (EDCC) ISBN 9781728139296. doi:10.1109/EDCC.2019.00030
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WRAP-reliable-many-to-many-routing-wireless-sensor-ant-colony-Bradbury-2019.pdf - Accepted Version - Requires a PDF viewer. Download (629Kb) | Preview |
Official URL: https://doi.org/10.1109/EDCC.2019.00030
Abstract
Wireless sensor networks (WSNs) have been widely studied in the context of many-to-one communication, in which multiple data sources send messages to a dedicated sink. However, there has been little research in the area of many-to-many communication. Many-to-many communication in WSNs is a growing application area, with examples including fire detection in both natural and urban areas, and the monitoring of heating and air conditioning within buildings. In this paper, we propose a scalable many-to-many routing protocol that makes use of Ant Colony Optimisation (ACO) that is applicable for an arbitrary number of sources and sinks. The protocol aggregates data sent from multiple sources into a single, shared backbone of nodes to reduce the total number of packets sent and so increase network lifetime. Results from simulations using the Cooja Network simulator show that the protocol is able to achieve packet delivery ratios above 95%, with the algorithm becoming more efficient with larger networks, sending fewer packets relative to the size of the networks, as well as involving fewer nodes in routing.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science > Computer Science Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) |
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| Library of Congress Subject Headings (LCSH): | Wireless Sensor Networks, Wireless sensor networks -- Computer programs, Routing (Computer network management) , Mathematical optimization | ||||||
| Journal or Publication Title: | 2019 15th European Dependable Computing Conference (EDCC) | ||||||
| Publisher: | IEEE Conference Publishing Services | ||||||
| ISBN: | 9781728139296 | ||||||
| Official Date: | 7 November 2019 | ||||||
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| DOI: | 10.1109/EDCC.2019.00030 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | European Dependable Computing Conference | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Naples, Italy | ||||||
| Date(s) of Event: | 17-20 Sep 2019 | ||||||
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