Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313331839> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W4313331839 endingPage "20" @default.
- W4313331839 startingPage "1" @default.
- W4313331839 abstract "Localization is crucial to wireless sensor networks. Among the recently proposed localization algorithms, the mobile anchor-assisted localization (MAL) algorithm seems promising. A MAL algorithm using a single mobile anchor has low energy consumption but a high localization error. Conversely, a MAL algorithm with three or more mobile anchors has minor localization errors but high energy consumption. By balancing energy consumption and localization accuracy, our study developed a localization algorithm assisted by two mobile anchors. A mobile anchor traverses the network along a double anchor SCAN (DASCAN) path, which divides the deployment region into grids and requires the two mobile anchors to traverse different horizontal lines in a zigzag pattern. Sensor nodes estimate their locations using a multiple-disturbance strategy grey wolf optimization (MDS-GWO) algorithm, which improves optimization by introducing a nonlinearly decreasing weight, a random perturbation of grey wolves and a mirror grey wolf. Using MATLAB, DASCAN was compared with GTURN, GSCAN, PP-MMAN, H-Curves, M-Curves, and SCAN paths by their energy consumption and localization rates. The localization error of MDS-GWO was compared with trilateration, PSO, WOA, and GWO. The impacts of radio irregularity, radio radius, and fading effect on MDS-GWO with different paths were also analyzed. The simulation results showed that the energy consumption of DASCAN was, on average, 30.1% less than GSCAN, GTURN, and PP-MMAN, but they had almost the same localization accuracy. The energy consumption of DASCAN was an average of 18.67% more than M-Curves, H-Curves, and SCAN, but the localization error of DASCAN was average of 32.3% less than SCAN, H-Curves, and M-Curves. The localization error of MDS-GWO was average of 25.5% less than trilateration, PSO, WOA, and GWO. Moreover, the performance of the proposed algorithm was less affected by different setups than the compared methods." @default.
- W4313331839 created "2023-01-06" @default.
- W4313331839 creator A5000202379 @default.
- W4313331839 creator A5030090268 @default.
- W4313331839 creator A5042467158 @default.
- W4313331839 creator A5048370495 @default.
- W4313331839 date "2022-12-29" @default.
- W4313331839 modified "2023-10-14" @default.
- W4313331839 title "Localization for Wireless Sensor Networks Assisted by Two Mobile Anchors with Improved Grey Wolf Optimizer" @default.
- W4313331839 cites W1968939136 @default.
- W4313331839 cites W2010512340 @default.
- W4313331839 cites W2069916231 @default.
- W4313331839 cites W2320046825 @default.
- W4313331839 cites W2601195941 @default.
- W4313331839 cites W2603855048 @default.
- W4313331839 cites W2625676297 @default.
- W4313331839 cites W2801331564 @default.
- W4313331839 cites W2802481250 @default.
- W4313331839 cites W2912148340 @default.
- W4313331839 cites W2937724136 @default.
- W4313331839 cites W2946075921 @default.
- W4313331839 cites W2947113438 @default.
- W4313331839 cites W2965981032 @default.
- W4313331839 cites W3041912378 @default.
- W4313331839 cites W3135632462 @default.
- W4313331839 cites W3149361829 @default.
- W4313331839 cites W3149479130 @default.
- W4313331839 doi "https://doi.org/10.1155/2022/6292629" @default.
- W4313331839 hasPublicationYear "2022" @default.
- W4313331839 type Work @default.
- W4313331839 citedByCount "0" @default.
- W4313331839 crossrefType "journal-article" @default.
- W4313331839 hasAuthorship W4313331839A5000202379 @default.
- W4313331839 hasAuthorship W4313331839A5030090268 @default.
- W4313331839 hasAuthorship W4313331839A5042467158 @default.
- W4313331839 hasAuthorship W4313331839A5048370495 @default.
- W4313331839 hasBestOaLocation W43133318391 @default.
- W4313331839 hasConcept C105795698 @default.
- W4313331839 hasConcept C11413529 @default.
- W4313331839 hasConcept C119599485 @default.
- W4313331839 hasConcept C127413603 @default.
- W4313331839 hasConcept C13280743 @default.
- W4313331839 hasConcept C135981907 @default.
- W4313331839 hasConcept C176809094 @default.
- W4313331839 hasConcept C186370098 @default.
- W4313331839 hasConcept C205649164 @default.
- W4313331839 hasConcept C20832178 @default.
- W4313331839 hasConcept C24590314 @default.
- W4313331839 hasConcept C2524010 @default.
- W4313331839 hasConcept C2780165032 @default.
- W4313331839 hasConcept C31258907 @default.
- W4313331839 hasConcept C33923547 @default.
- W4313331839 hasConcept C41008148 @default.
- W4313331839 hasConcept C57273362 @default.
- W4313331839 hasConcept C79403827 @default.
- W4313331839 hasConcept C81978471 @default.
- W4313331839 hasConceptScore W4313331839C105795698 @default.
- W4313331839 hasConceptScore W4313331839C11413529 @default.
- W4313331839 hasConceptScore W4313331839C119599485 @default.
- W4313331839 hasConceptScore W4313331839C127413603 @default.
- W4313331839 hasConceptScore W4313331839C13280743 @default.
- W4313331839 hasConceptScore W4313331839C135981907 @default.
- W4313331839 hasConceptScore W4313331839C176809094 @default.
- W4313331839 hasConceptScore W4313331839C186370098 @default.
- W4313331839 hasConceptScore W4313331839C205649164 @default.
- W4313331839 hasConceptScore W4313331839C20832178 @default.
- W4313331839 hasConceptScore W4313331839C24590314 @default.
- W4313331839 hasConceptScore W4313331839C2524010 @default.
- W4313331839 hasConceptScore W4313331839C2780165032 @default.
- W4313331839 hasConceptScore W4313331839C31258907 @default.
- W4313331839 hasConceptScore W4313331839C33923547 @default.
- W4313331839 hasConceptScore W4313331839C41008148 @default.
- W4313331839 hasConceptScore W4313331839C57273362 @default.
- W4313331839 hasConceptScore W4313331839C79403827 @default.
- W4313331839 hasConceptScore W4313331839C81978471 @default.
- W4313331839 hasFunder F4320336653 @default.
- W4313331839 hasLocation W43133318391 @default.
- W4313331839 hasOpenAccess W4313331839 @default.
- W4313331839 hasPrimaryLocation W43133318391 @default.
- W4313331839 hasRelatedWork W1524195700 @default.
- W4313331839 hasRelatedWork W1537472116 @default.
- W4313331839 hasRelatedWork W1990714824 @default.
- W4313331839 hasRelatedWork W2002855969 @default.
- W4313331839 hasRelatedWork W2064071847 @default.
- W4313331839 hasRelatedWork W2105804632 @default.
- W4313331839 hasRelatedWork W2354721825 @default.
- W4313331839 hasRelatedWork W2380703803 @default.
- W4313331839 hasRelatedWork W2777446045 @default.
- W4313331839 hasRelatedWork W4206837030 @default.
- W4313331839 hasVolume "2022" @default.
- W4313331839 isParatext "false" @default.
- W4313331839 isRetracted "false" @default.
- W4313331839 workType "article" @default.