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Kumar, S., Kumar, V., Kaiwartya, O. 
ORCID: 0000-0001-9669-8244, Dohare, U., Kumar, N. and Lloret, J.,
2019.
Towards green communication in wireless sensor network: GA enabled distributed zone approach.
Ad Hoc Networks, 93: 101903.
ISSN 1570-8705
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1630311_Kaiwartya.pdf - Post-print Download (1MB) | Preview |
Abstract
Green communication in wireless sensor networks (WSNs) has witnessed significant attention due to the growing significance of sensor enabled smart environments. Energy optimization and communication optimization are two major themes of investigation for green communication. Due to the growing sensor density in smart environment, intelligently finding shortest path for green communication has been proven an NP-complete problem. Literature in green communication majorly focuses towards finding centralized optimal path solution. These centralized optimal-path finding solutions were suitable for application specific traditional WSNs environments. The cutting edge sensor enabled smart environments supporting heterogender applications require distributed optimal path finding solutions for green communication. In this context, this paper proposes a genetic algorithm enabled distributed zone approach for green communication. Specifically, instead of searching the optimal path solution in the whole network, the proposed algorithm identifies path in a small search space called distributed forward zone. The concept of forward zone enhances the searching convergence speed and reduces the computation centric communication cost. To encode the distributed routing solutions, variable length chromosomes are considered focusing on the target distributed area. The genetic algorithm enabled distributed zone approach prevents all the possibilities of forming the infeasible chromosomes.
| Item Type: | Journal article | ||||||
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| Publication Title: | Ad Hoc Networks | ||||||
| Creators: | Kumar, S., Kumar, V., Kaiwartya, O., Dohare, U., Kumar, N. and Lloret, J. | ||||||
| Publisher: | Elsevier | ||||||
| Date: | October 2019 | ||||||
| Volume: | 93 | ||||||
| ISSN: | 1570-8705 | ||||||
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| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jonathan Gallacher | ||||||
| Date Added: | 04 Jan 2023 09:31 | ||||||
| Last Modified: | 04 Jan 2023 09:31 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/47739 |
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