An Improvement of Flower Pollination Algorithm for Node Localization Optimization in WSN

Jeng-Shyang Pan, Thi-Kien Dao, Tien-Szu Pan, Trong-The Nguyen, Shu-Chuan Chu, John Roddick

    Research output: Contribution to journalArticlepeer-review

    23 Citations (Scopus)


    This paper presents an improvement of the flower pollination algorithm (FPA) for optimization localization issues in wireless sensor networks (WSN). A novel probabilistic is used to generate a new candidate of competition for simulation optimization operations. The actual population of tentative solutions does not employ, but a unique representative probabilistic of them accumulate over generations. Evaluating this proposed method, we firstly used six selected benchmark functions to experiment and then we applied the proposal to solve the optimization problem of localization in WSN to confirm its performance further. The testing results compared with the original version of FPA show that the proposed method produces considerable improvements of reducing variable storing memory and running time consumption. Compared with the other approaches in the literature, the localization obtained from the proposed method is more accuracy and convergence rate indicate that the proposed method provides the effective way of using a limited memory.

    Original languageEnglish
    Pages (from-to)486-499
    Number of pages14
    JournalJournal of Information Hiding and Multimedia Signal Processing
    Issue number2
    Publication statusPublished - 2017


    • Compact flower pollination algorithm
    • Optimization localization problems
    • Probabilistic model
    • Wireless sensor network


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