Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1007/s00500-020-05088-z http://scihub22266oqcxt.onion/10.1007/s00500-020-05088-z C7301770/?report=reader!7301770!32837291     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Soft+comput 2020 ; 24 (23): 18249-58 Nephropedia Template TP {{tp|p=32837291|t=2020. Weight convergence analysis of DV-hop localization algorithm with GA |pdf=|usr=}}{{32837291}} gab.com Text Weight convergence analysis of DV-hop localization algorithm with GA JO: Soft comput http://www.kidney.de/pget.php?&tw=1&pmid=32837291 #FOAvip 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 1/4R. Twit Text FOAVip Weight convergence analysis of DV-hop localization algorithm with GA ????Soft comput http://www.kidney.de/pget.php?&tw=1&pmid=32837291 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32837291 #FOAvip English Wikipedia <ref>{{Cite pmid|32837291}}</ref> Weight convergence analysis of DV-hop localization algorithm with GA #MMPMID32837291 Cai X; Wang P; Cui Z; Zhang W; Chen J Soft comput 2020[]; 24 (23): 18249-58 PMID32837291show 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 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 1/4R. äWeight convergence analysis of DV-hop localization algorithm with GA (epmc).pdf DeepDyve Pubget Overpricing