Article: Weight convergence analysis of DV-hop localization algorithm with GA.
2020 Volume 24, Issue 23, Page(s) 18249–18258
Abstract: The distance vector-hop (DV-hop) is a typical localization algorithm. It estimates sensor nodes ... weighted DV-hop (MW-GADV-hop) positioning model, the simulation results illustrate that the model ... location through detecting the hop count between nodes. To enhance the positional precision, the weight is ...
| Abstract | 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 smaller value of weight will be. However, there has been no clear mathematical model among positioning error, hop count, and weight. This paper constructs a mathematical model between the weights and hops and analyzes the convergence of this model. Finally, the genetic algorithm is used to solve this mathematical weighted DV-hop (MW-GADV-hop) positioning model, the simulation results illustrate that the model construction is logical, and the positioning error of the model converges to 1/4 |
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| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-06-18 |
| Publishing country | Germany |
| Document type | Journal Article |
| ZDB-ID | 1476598-6 |
| ISSN | 1433-7479 ; 1432-7643 |
| ISSN (online) | 1433-7479 |
| ISSN | 1432-7643 |
| DOI | 10.1007/s00500-020-05088-z |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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