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- Title
Swarm Intelligence-based Partitioned Recovery in Wireless Sensor Networks.
- Authors
Kumar, Gaurav; Ranga, Virender
- Abstract
The failure rate of sensor nodes in Heterogeneous Wireless Sensor Networks is high due to the use of low battery-powered sensor nodes in a hostile environment. Networks of this kind become non-operational and turn into dis-joint segmented networks due to large-scale failures of sensor nodes. This may require the placement of additional high-power relay nodes. In this paper, we propose a network partition recovery solution called Grey Wolf, which is an optimizer algorithm for repairing segmented heterogeneous wireless sensor networks. The proposed solution provides not only strong bi-connectivity in the damaged area, but also distributes traffic load among the multiple deployed nodes to enhance the repaired network's lifetime. The experiment results show that the Grey Wolf algorithm offers a considerable performance advantage over other state-of-the-art approaches.
- Subjects
SWARM intelligence; WIRELESS sensor networks; WIRELESS sensor nodes; COMBINATORIAL optimization; PERFORMANCE evaluation
- Publication
Journal of Telecommunications & Information Technology, 2018, Issue 3, p70
- ISSN
1509-4553
- Publication type
Article
- DOI
10.26636/jtit.2018.121817