Fuzzy logic based 3D localization in wireless sensor networks using invasive weed and bacterial foraging optimization
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DOI: 10.1007/s11235-017-0333-0
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References listed on IDEAS
- Xuan Liu & Shigeng Zhang & Kai Bu, 2016. "A locality-based range-free localization algorithm for anisotropic wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 3-13, May.
- Shrawan Kumar & D. K. Lobiyal, 2017. "Novel DV-Hop localization algorithm for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(3), pages 509-524, March.
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Cited by:
- Prabhjot Singh & Nitin Mittal & Parulpreet Singh, 2022. "A novel hybrid range-free approach to locate sensor nodes in 3D WSN using GWO-FA algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(3), pages 303-323, July.
- Shilpi & Arvind Kumar, 2023. "A localization algorithm using reliable anchor pair selection and Jaya algorithm for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 277-289, February.
- Soumya J. Bhat & K. V. Santhosh, 2022. "Localization of isotropic and anisotropic wireless sensor networks in 2D and 3D fields," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(2), pages 309-321, February.
- Hilary I. Okagbue & Muminu O. Adamu & Timothy A. Anake & Ashiribo S. Wusu, 2019. "Nature inspired quantile estimates of the Nakagami distribution," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 517-541, December.
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Keywords
Fuzzy logic system (FLS); Radio irregularity model (RIM); Bacterial foraging optimization (BFO); Invasive weed optimization (IWO); Localization; Wireless sensor networks (WSNs);All these keywords.
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