Matches in SemOpenAlex for { <https://semopenalex.org/work/W1544451232> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W1544451232 abstract "Many applications in wireless sensor networks (WSNs) require that sensor observations in a given monitoring area be aggregated in a serial fashion. This demands a routing path to be constructed traversing all sensors in that area, which is also called to linearize the network. In this paper, we present SURF, a Space filling cURve construction scheme for high genus 3D surFace WSNs, yielding a traversal path provably aperiodic (that is, any node is covered at most a constant number of times). SURF first utilizes the hop-count distance function to construct the iso-contour in discrete settings, then it uses the concept of the Reeb graph and the maximum cut set to divide the network into different regions. Finally it conducts a novel serial traversal scheme, enabling the traversal within and between regions. To the best of our knowledge, SURF is the first high genus 3D surface WSNs targeted and pure connectivity-based solution for linearizing the networks. It is fully distributed and highly scalable, requiring a nearly constant storage and communication cost per node in the network. Extensive simulations on several representative networks demonstrate that SURF works well on high genus 3D surface WSNs." @default.
- W1544451232 created "2016-06-24" @default.
- W1544451232 creator A5041225618 @default.
- W1544451232 creator A5061448582 @default.
- W1544451232 date "2015-04-01" @default.
- W1544451232 modified "2023-09-29" @default.
- W1544451232 title "SURF: A connectivity-based space filling curve construction algorithm in high genus 3D surface WSNs" @default.
- W1544451232 cites W1985873182 @default.
- W1544451232 cites W1990407209 @default.
- W1544451232 cites W1992600371 @default.
- W1544451232 cites W1994586606 @default.
- W1544451232 cites W1996733231 @default.
- W1544451232 cites W2018204504 @default.
- W1544451232 cites W2075688075 @default.
- W1544451232 cites W2083995953 @default.
- W1544451232 cites W2086574207 @default.
- W1544451232 cites W2096524691 @default.
- W1544451232 cites W2113961337 @default.
- W1544451232 cites W2118995842 @default.
- W1544451232 cites W2123154179 @default.
- W1544451232 cites W2130590018 @default.
- W1544451232 cites W2141808572 @default.
- W1544451232 cites W2145347746 @default.
- W1544451232 cites W2162658094 @default.
- W1544451232 cites W2569270235 @default.
- W1544451232 cites W3149479130 @default.
- W1544451232 cites W4240774490 @default.
- W1544451232 cites W4246962530 @default.
- W1544451232 doi "https://doi.org/10.1109/infocom.2015.7218470" @default.
- W1544451232 hasPublicationYear "2015" @default.
- W1544451232 type Work @default.
- W1544451232 sameAs 1544451232 @default.
- W1544451232 citedByCount "8" @default.
- W1544451232 countsByYear W15444512322016 @default.
- W1544451232 countsByYear W15444512322018 @default.
- W1544451232 countsByYear W15444512322019 @default.
- W1544451232 countsByYear W15444512322022 @default.
- W1544451232 crossrefType "proceedings-article" @default.
- W1544451232 hasAuthorship W1544451232A5041225618 @default.
- W1544451232 hasAuthorship W1544451232A5061448582 @default.
- W1544451232 hasConcept C111919701 @default.
- W1544451232 hasConcept C11413529 @default.
- W1544451232 hasConcept C157369684 @default.
- W1544451232 hasConcept C2524010 @default.
- W1544451232 hasConcept C2776799497 @default.
- W1544451232 hasConcept C2778572836 @default.
- W1544451232 hasConcept C33923547 @default.
- W1544451232 hasConcept C41008148 @default.
- W1544451232 hasConcept C59822182 @default.
- W1544451232 hasConcept C86803240 @default.
- W1544451232 hasConceptScore W1544451232C111919701 @default.
- W1544451232 hasConceptScore W1544451232C11413529 @default.
- W1544451232 hasConceptScore W1544451232C157369684 @default.
- W1544451232 hasConceptScore W1544451232C2524010 @default.
- W1544451232 hasConceptScore W1544451232C2776799497 @default.
- W1544451232 hasConceptScore W1544451232C2778572836 @default.
- W1544451232 hasConceptScore W1544451232C33923547 @default.
- W1544451232 hasConceptScore W1544451232C41008148 @default.
- W1544451232 hasConceptScore W1544451232C59822182 @default.
- W1544451232 hasConceptScore W1544451232C86803240 @default.
- W1544451232 hasLocation W15444512321 @default.
- W1544451232 hasOpenAccess W1544451232 @default.
- W1544451232 hasPrimaryLocation W15444512321 @default.
- W1544451232 hasRelatedWork W1506406535 @default.
- W1544451232 hasRelatedWork W1999461552 @default.
- W1544451232 hasRelatedWork W2036821674 @default.
- W1544451232 hasRelatedWork W2053561000 @default.
- W1544451232 hasRelatedWork W2061938945 @default.
- W1544451232 hasRelatedWork W2321608358 @default.
- W1544451232 hasRelatedWork W2560580040 @default.
- W1544451232 hasRelatedWork W2580698459 @default.
- W1544451232 hasRelatedWork W2963613336 @default.
- W1544451232 hasRelatedWork W3035557305 @default.
- W1544451232 isParatext "false" @default.
- W1544451232 isRetracted "false" @default.
- W1544451232 magId "1544451232" @default.
- W1544451232 workType "article" @default.