Journal of System Simulation
Abstract
Abstract: To optimize the coverage problem of wireless sensor networks (WSNs) Heterogeneous nodes with obstacles in the monitoring area, based on the flower pollination algorithm (FPA), an improved flower pollination algorithm (IFPA) is proposed. IFPA is used to improve the shortcomings of the original algorithm with slow convergence speed and low precision. The nonlinear convergence factor is designed to constrain the original scaling factor, the Tent mapping is used to maintain the diversity of the population in the late iteration, and the greedy crossover strategy is used to assist the poor individuals to search with better individuals. The experiment of the benchmark function proves that the IFPA has a better convergence performance than other comparison algorithms, and the simulation experiments of WSN deployment show that IFPA can obtain a higher coverage rate and save network deployment cost.
Recommended Citation
Wang, Zhendong; Xie, Huamao; Hu, Zhongdong; Li, Dahai; and Wang, Junling
(2021)
"Improved Flower Pollination Algorithm Based Deployment Optimization of Wireless Sensor Network,"
Journal of System Simulation: Vol. 33:
Iss.
3, Article 14.
DOI: 10.16182/j.issn1004731x.joss.19-0580
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss3/14
First Page
645
Revised Date
2019-12-20
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-0580
Last Page
656
CLC
TP393
Recommended Citation
Wang Zhendong, Xie Huamao, Hu Zhongdong, Li Dahai, Wang Junling. Improved Flower Pollination Algorithm Based Deployment Optimization of Wireless Sensor Network[J]. Journal of System Simulation, 2021, 33(3): 645-656.
DOI
10.16182/j.issn1004731x.joss.19-0580
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