Matches in SemOpenAlex for { <https://semopenalex.org/work/W3163095763> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W3163095763 abstract "In wireless sensor networks, coverage is a significant challenge, reflecting how well the sensor nodes (SNs) cover a target area. If we use static SNs for continuous coverage but it is energy-consuming. Instead of constant monitoring, periodic monitoring is also sufficient for content in some cases, and it is also less energy-consuming. The <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$t$</tex> -sweep coverage is the coverage after a given time <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$t$</tex> of the points or sub-area in a target by the SNs. Determining the best set of mobile SNs to ensure sweep-coverage with a consistent speed is NP-hard. In this article, we propose a new 1.5-approximation approach for resolving the sweep-coverage issue for a chosen point of interest. The best approximation for point sweep-coverage challenge in the literature has 2-approximation. We also propose a new <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$1.5sqrt{2}$</tex> -approximation area sweep-coverage algorithm for sweep-coverage problem for a chosen area of interest. The best-known approximation approach for area sweep-coverage issue has <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$2sqrt{2}$</tex> -approximation. Finally, we simulate the proposed and existing and the proposed approaches are resulting better performance over the existing ones." @default.
- W3163095763 created "2021-05-24" @default.
- W3163095763 creator A5023747211 @default.
- W3163095763 creator A5067735748 @default.
- W3163095763 creator A5079303717 @default.
- W3163095763 date "2021-03-25" @default.
- W3163095763 modified "2023-10-05" @default.
- W3163095763 title "Efficient Algorithms for Point and Area Sweep–Coverage in Wireless Sensor Networks" @default.
- W3163095763 cites W1504699839 @default.
- W3163095763 cites W1990084433 @default.
- W3163095763 cites W2003370014 @default.
- W3163095763 cites W2054184062 @default.
- W3163095763 cites W2085304782 @default.
- W3163095763 cites W2095769728 @default.
- W3163095763 cites W2103981365 @default.
- W3163095763 cites W2117226423 @default.
- W3163095763 cites W2127287364 @default.
- W3163095763 cites W2130403046 @default.
- W3163095763 cites W2133550789 @default.
- W3163095763 cites W2139975881 @default.
- W3163095763 cites W2154260184 @default.
- W3163095763 cites W2167194811 @default.
- W3163095763 cites W2802905039 @default.
- W3163095763 cites W2916641566 @default.
- W3163095763 cites W3016835749 @default.
- W3163095763 cites W3033152510 @default.
- W3163095763 cites W3103288814 @default.
- W3163095763 doi "https://doi.org/10.1109/wispnet51692.2021.9419463" @default.
- W3163095763 hasPublicationYear "2021" @default.
- W3163095763 type Work @default.
- W3163095763 sameAs 3163095763 @default.
- W3163095763 citedByCount "3" @default.
- W3163095763 countsByYear W31630957632022 @default.
- W3163095763 countsByYear W31630957632023 @default.
- W3163095763 crossrefType "proceedings-article" @default.
- W3163095763 hasAuthorship W3163095763A5023747211 @default.
- W3163095763 hasAuthorship W3163095763A5067735748 @default.
- W3163095763 hasAuthorship W3163095763A5079303717 @default.
- W3163095763 hasConcept C11413529 @default.
- W3163095763 hasConcept C148764684 @default.
- W3163095763 hasConcept C177264268 @default.
- W3163095763 hasConcept C199360897 @default.
- W3163095763 hasConcept C24590314 @default.
- W3163095763 hasConcept C2524010 @default.
- W3163095763 hasConcept C28719098 @default.
- W3163095763 hasConcept C31258907 @default.
- W3163095763 hasConcept C33923547 @default.
- W3163095763 hasConcept C41008148 @default.
- W3163095763 hasConceptScore W3163095763C11413529 @default.
- W3163095763 hasConceptScore W3163095763C148764684 @default.
- W3163095763 hasConceptScore W3163095763C177264268 @default.
- W3163095763 hasConceptScore W3163095763C199360897 @default.
- W3163095763 hasConceptScore W3163095763C24590314 @default.
- W3163095763 hasConceptScore W3163095763C2524010 @default.
- W3163095763 hasConceptScore W3163095763C28719098 @default.
- W3163095763 hasConceptScore W3163095763C31258907 @default.
- W3163095763 hasConceptScore W3163095763C33923547 @default.
- W3163095763 hasConceptScore W3163095763C41008148 @default.
- W3163095763 hasLocation W31630957631 @default.
- W3163095763 hasOpenAccess W3163095763 @default.
- W3163095763 hasPrimaryLocation W31630957631 @default.
- W3163095763 hasRelatedWork W1781058469 @default.
- W3163095763 hasRelatedWork W2276481867 @default.
- W3163095763 hasRelatedWork W2351491280 @default.
- W3163095763 hasRelatedWork W2371447506 @default.
- W3163095763 hasRelatedWork W2378314110 @default.
- W3163095763 hasRelatedWork W2384380565 @default.
- W3163095763 hasRelatedWork W2386767533 @default.
- W3163095763 hasRelatedWork W2484545025 @default.
- W3163095763 hasRelatedWork W2510217115 @default.
- W3163095763 hasRelatedWork W303980170 @default.
- W3163095763 isParatext "false" @default.
- W3163095763 isRetracted "false" @default.
- W3163095763 magId "3163095763" @default.
- W3163095763 workType "article" @default.