Matches in SemOpenAlex for { <https://semopenalex.org/work/W2330404741> ?p ?o ?g. }
- W2330404741 endingPage "1715" @default.
- W2330404741 startingPage "1700" @default.
- W2330404741 abstract "Gas leakage source detection and boundary tracking of continuous objects have received a significant research attention in the academic as well as the industries due to the loss and damage caused by toxic gas leakage in large-scale petrochemical plants. With the advance and rapid adoption of wireless sensor networks (WSNs) in the last decades, source localization and boundary estimation have became the priority of research works. In addition, an accurate boundary estimation is a critical issue due to the fast movement, changing shape, and invisibility of the gas leakage compared with the other single object detections. We present various gas diffusion models used in the literature that offer the effective computational approaches to measure the gas concentrations in the large area. In this paper, we compare the continuous object localization and boundary detection schemes with respect to complexity, energy consumption, and estimation accuracy. Moreover, this paper presents the research directions for existing and future gas leakage source localization and boundary estimation schemes with WSNs." @default.
- W2330404741 created "2016-06-24" @default.
- W2330404741 creator A5007723627 @default.
- W2330404741 creator A5018038526 @default.
- W2330404741 creator A5027896781 @default.
- W2330404741 creator A5030691366 @default.
- W2330404741 creator A5066710236 @default.
- W2330404741 date "2016-01-01" @default.
- W2330404741 modified "2023-10-06" @default.
- W2330404741 title "A Survey on Gas Leakage Source Detection and Boundary Tracking with Wireless Sensor Networks" @default.
- W2330404741 cites W1480036954 @default.
- W2330404741 cites W1489200106 @default.
- W2330404741 cites W1598748996 @default.
- W2330404741 cites W1966116843 @default.
- W2330404741 cites W1967837520 @default.
- W2330404741 cites W1973917744 @default.
- W2330404741 cites W1974273799 @default.
- W2330404741 cites W1979821780 @default.
- W2330404741 cites W1981012721 @default.
- W2330404741 cites W1999925733 @default.
- W2330404741 cites W2008483843 @default.
- W2330404741 cites W2011077119 @default.
- W2330404741 cites W2013604936 @default.
- W2330404741 cites W2014518840 @default.
- W2330404741 cites W2015325690 @default.
- W2330404741 cites W2016180804 @default.
- W2330404741 cites W2016376495 @default.
- W2330404741 cites W2016615751 @default.
- W2330404741 cites W2032672132 @default.
- W2330404741 cites W2036507297 @default.
- W2330404741 cites W2037958743 @default.
- W2330404741 cites W2050090661 @default.
- W2330404741 cites W2052521636 @default.
- W2330404741 cites W2059629689 @default.
- W2330404741 cites W2060877910 @default.
- W2330404741 cites W2063744735 @default.
- W2330404741 cites W2069307600 @default.
- W2330404741 cites W2071556276 @default.
- W2330404741 cites W2083049794 @default.
- W2330404741 cites W2097722237 @default.
- W2330404741 cites W2100761732 @default.
- W2330404741 cites W2101317465 @default.
- W2330404741 cites W2104068974 @default.
- W2330404741 cites W2104562707 @default.
- W2330404741 cites W2105906847 @default.
- W2330404741 cites W2110537619 @default.
- W2330404741 cites W2110899030 @default.
- W2330404741 cites W2114154970 @default.
- W2330404741 cites W2114404361 @default.
- W2330404741 cites W2118080343 @default.
- W2330404741 cites W2122138733 @default.
- W2330404741 cites W2122304153 @default.
- W2330404741 cites W2122679915 @default.
- W2330404741 cites W2123007522 @default.
- W2330404741 cites W2125113835 @default.
- W2330404741 cites W2128657437 @default.
- W2330404741 cites W2130509696 @default.
- W2330404741 cites W2131247345 @default.
- W2330404741 cites W2133245819 @default.
- W2330404741 cites W2134112152 @default.
- W2330404741 cites W2136345106 @default.
- W2330404741 cites W2139035182 @default.
- W2330404741 cites W2139351572 @default.
- W2330404741 cites W2147534654 @default.
- W2330404741 cites W2153456575 @default.
- W2330404741 cites W2155835018 @default.
- W2330404741 cites W2155852028 @default.
- W2330404741 cites W2158444024 @default.
- W2330404741 cites W2158495097 @default.
- W2330404741 cites W2160891248 @default.
- W2330404741 cites W2165779382 @default.
- W2330404741 cites W2166182295 @default.
- W2330404741 cites W2166853177 @default.
- W2330404741 cites W2168439596 @default.
- W2330404741 cites W2169391736 @default.
- W2330404741 cites W2171873103 @default.
- W2330404741 cites W2325867572 @default.
- W2330404741 cites W251089005 @default.
- W2330404741 cites W2535377427 @default.
- W2330404741 cites W2543920236 @default.
- W2330404741 cites W2143191918 @default.
- W2330404741 doi "https://doi.org/10.1109/access.2016.2550033" @default.
- W2330404741 hasPublicationYear "2016" @default.
- W2330404741 type Work @default.
- W2330404741 sameAs 2330404741 @default.
- W2330404741 citedByCount "45" @default.
- W2330404741 countsByYear W23304047412017 @default.
- W2330404741 countsByYear W23304047412018 @default.
- W2330404741 countsByYear W23304047412019 @default.
- W2330404741 countsByYear W23304047412020 @default.
- W2330404741 countsByYear W23304047412021 @default.
- W2330404741 countsByYear W23304047412022 @default.
- W2330404741 countsByYear W23304047412023 @default.
- W2330404741 crossrefType "journal-article" @default.
- W2330404741 hasAuthorship W2330404741A5007723627 @default.
- W2330404741 hasAuthorship W2330404741A5018038526 @default.
- W2330404741 hasAuthorship W2330404741A5027896781 @default.
- W2330404741 hasAuthorship W2330404741A5030691366 @default.