Article: A compact GBMO applied to modify DV-Hop based on layers in a wireless sensor network Journal: International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC) 2022 Vol.39 No.1/2 pp.20 - 36 Abstract: Gases Brownian motion optimisation (GBMO) has been shown as a useful optimisation method. The compact concept is implemented to the GMBO named compact gases Brownian motion optimisation (CGMBO) so as to improve the efficiency and effectiveness of the GMBO. Simulation results based on the 23 test functions consisting of the unimodal, multimodal, fixed-dimensional functions and composite multimodal functions demonstrate the superiority of the proposed CGMBO. The idea of layer concept is also proposed to implement the distance vector-hop (DV-Hop) by modifying the original average distance of each hop called layer DV-Hop (LDV-Hop), experimental results also show the proposed LDV-Hop really improve the average positioning accuracy of each node for wireless sensor network. Finally, the proposed CGMBO is combined with the proposed LDV-Hop so as to greatly reduce the position error compared with the DV-Hop. The actual error per-hop distance between nodes is large. When the calculated average hop distance of the nodes does not reach the ideal value, the actual distance between the nodes and the calculated distance will have a large deviation. Inderscience Publishers - linking academia, business and industry through research

Title: A compact GBMO applied to modify DV-Hop based on layers in a wireless sensor network

Authors: Jeng-Shyang Pan; Min Gao; Jian-Po Li; Shu-Chuan Chu

Addresses: College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China; School of Computer Science, Northeast Electric Power University, Jilin, China ' School of Computer Science, Northeast Electric Power University, Jilin, China ' School of Computer Science, Northeast Electric Power University, Jilin, China ' College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

Abstract: Gases Brownian motion optimisation (GBMO) has been shown as a useful optimisation method. The compact concept is implemented to the GMBO named compact gases Brownian motion optimisation (CGMBO) so as to improve the efficiency and effectiveness of the GMBO. Simulation results based on the 23 test functions consisting of the unimodal, multimodal, fixed-dimensional functions and composite multimodal functions demonstrate the superiority of the proposed CGMBO. The idea of layer concept is also proposed to implement the distance vector-hop (DV-Hop) by modifying the original average distance of each hop called layer DV-Hop (LDV-Hop), experimental results also show the proposed LDV-Hop really improve the average positioning accuracy of each node for wireless sensor network. Finally, the proposed CGMBO is combined with the proposed LDV-Hop so as to greatly reduce the position error compared with the DV-Hop. The actual error per-hop distance between nodes is large. When the calculated average hop distance of the nodes does not reach the ideal value, the actual distance between the nodes and the calculated distance will have a large deviation.

Keywords: gases Brownian motion optimisation; GBMO; wireless sensor network; WSN; compact gases Brownian motion optimisation; CGMBO; LDV-Hop.

DOI: 10.1504/IJAHUC.2022.120941

International Journal of Ad Hoc and Ubiquitous Computing, 2022 Vol.39 No.1/2, pp.20 - 36

Received: 26 May 2020
Accepted: 19 Jun 2020
Published online: 18 Feb 2022 *

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Title: A compact GBMO applied to modify DV-Hop based on layers in a wireless sensor network

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