Weight convergence analysis of DV-hop localization algorithm with GA Weight convergence analysis of DV-hop localization algorithm with GA

The distance vector-hop (DV-hop) is a typical localization algorithm. It estimates sensor nodes location through detecting the hop count between nodes. To enhance the positional precision, the weight is used to estimate position, and the conventional wisdom is that the more hop counts are, the small...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 24; číslo 23; s. 18249 - 18258
Hlavní autoři:	Cai, Xingjuan, Wang, Penghong, Cui, Zhihua, Zhang, Wensheng, Chen, Jinjun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020 Springer Nature B.V
Témata:	Artificial Intelligence Computational Intelligence Control Convergence Engineering Genetic algorithms Localization Mathematical analysis Mathematical Logic and Foundations Mathematical models Mechatronics Methodologies and Application Nodes Optimization algorithms Robotics Sensors Wireless communications Genetic algorithm (GA) Positional precision Convergence analyses Mathematical weight model DV-hop
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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