Matches in SemOpenAlex for { <https://semopenalex.org/work/W2301886730> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2301886730 abstract "Wirelesses sensor networks are fulfilling their promise of ubiquitous computing through their ease of deployment and reductions in size, weight, power, and cost. A fast growing application for these small form-factor and computationally powerful wireless devices is in environmental monitoring, health monitoring, infrastructure monitoring, battlefield target tracking, and other applications of Body-Area-Networks and Personal-Area-Networks. Due to the ubiquity of these devices and their computational abilities, applications in the signal processing domain using networks of these devices are being conceived, such as adaptive filtering and beamforming. The signal processing tasks involved, however, are computationally intensive and stress the energy resources of any single computational unit. A single computational unit, thus, may not have the necessary power, memory, and computational resources to complete the often-repetitive signal processing tasks, when the problem space is considerably larger than the computational devices.Collaborative distributed processing on resource-constrained wireless systems has the potential to increase the aggregate computational capabilities of a network, speed up the computation, and decrease the energy consumption per node. Thus, exploring distributed signal-processing mechanisms on such systems is necessary.This research effort develops a kernel for distributed computing and signal processing on resource-constrained wireless sensor networks. The kernel is formed of distributed versions of the LU decomposition, QR decomposition, and fast Fourier transform. It also includes a smart compact tagging mechanism for efficient, collision-free transmission; an energy and channel-aware formulation for task mapping and allocation for extending the network's lifetime; and a user-friendly scalable simulator for task scheduling and mapping.The contributions of this research are at the algorithm and the middleware levels. At the algorithm level, two new algorithms were developed to meet the need for scalability. The algorithms are: (1) a tile-based distributed QR decomposition, and (2) a distributed FFT with low communication overhead. At the middleware level, there are three contributions: (1) a new communication framework for extending the network's lifetime whose aim is not only minimizing the energy consumption, but also balancing it; (2) a heuristic algorithm which follows the proposed tenet; and (3) a task mapping simulator to decrease the time for successful development and testing of task mapping and allocation algorithms on the systems under development and deployment." @default.
- W2301886730 created "2016-06-24" @default.
- W2301886730 creator A5010023744 @default.
- W2301886730 creator A5073672140 @default.
- W2301886730 date "2010-01-01" @default.
- W2301886730 modified "2023-09-28" @default.
- W2301886730 title "Distributed computing for signal processing on wireless sensor networks" @default.
- W2301886730 hasPublicationYear "2010" @default.
- W2301886730 type Work @default.
- W2301886730 sameAs 2301886730 @default.
- W2301886730 citedByCount "0" @default.
- W2301886730 crossrefType "journal-article" @default.
- W2301886730 hasAuthorship W2301886730A5010023744 @default.
- W2301886730 hasAuthorship W2301886730A5073672140 @default.
- W2301886730 hasConcept C104267543 @default.
- W2301886730 hasConcept C108037233 @default.
- W2301886730 hasConcept C11413529 @default.
- W2301886730 hasConcept C120314980 @default.
- W2301886730 hasConcept C127964446 @default.
- W2301886730 hasConcept C179799912 @default.
- W2301886730 hasConcept C24590314 @default.
- W2301886730 hasConcept C31258907 @default.
- W2301886730 hasConcept C41008148 @default.
- W2301886730 hasConcept C41971633 @default.
- W2301886730 hasConcept C555944384 @default.
- W2301886730 hasConcept C76155785 @default.
- W2301886730 hasConcept C79403827 @default.
- W2301886730 hasConcept C84462506 @default.
- W2301886730 hasConcept C9390403 @default.
- W2301886730 hasConceptScore W2301886730C104267543 @default.
- W2301886730 hasConceptScore W2301886730C108037233 @default.
- W2301886730 hasConceptScore W2301886730C11413529 @default.
- W2301886730 hasConceptScore W2301886730C120314980 @default.
- W2301886730 hasConceptScore W2301886730C127964446 @default.
- W2301886730 hasConceptScore W2301886730C179799912 @default.
- W2301886730 hasConceptScore W2301886730C24590314 @default.
- W2301886730 hasConceptScore W2301886730C31258907 @default.
- W2301886730 hasConceptScore W2301886730C41008148 @default.
- W2301886730 hasConceptScore W2301886730C41971633 @default.
- W2301886730 hasConceptScore W2301886730C555944384 @default.
- W2301886730 hasConceptScore W2301886730C76155785 @default.
- W2301886730 hasConceptScore W2301886730C79403827 @default.
- W2301886730 hasConceptScore W2301886730C84462506 @default.
- W2301886730 hasConceptScore W2301886730C9390403 @default.
- W2301886730 hasLocation W23018867301 @default.
- W2301886730 hasOpenAccess W2301886730 @default.
- W2301886730 hasPrimaryLocation W23018867301 @default.
- W2301886730 hasRelatedWork W1516382567 @default.
- W2301886730 hasRelatedWork W1725056955 @default.
- W2301886730 hasRelatedWork W1907994429 @default.
- W2301886730 hasRelatedWork W1992633723 @default.
- W2301886730 hasRelatedWork W2043909091 @default.
- W2301886730 hasRelatedWork W2082543178 @default.
- W2301886730 hasRelatedWork W2095358011 @default.
- W2301886730 hasRelatedWork W2101294374 @default.
- W2301886730 hasRelatedWork W2155361910 @default.
- W2301886730 hasRelatedWork W2369967102 @default.
- W2301886730 hasRelatedWork W2505571673 @default.
- W2301886730 hasRelatedWork W2785624836 @default.
- W2301886730 hasRelatedWork W2798730989 @default.
- W2301886730 hasRelatedWork W2897152311 @default.
- W2301886730 hasRelatedWork W2914815714 @default.
- W2301886730 hasRelatedWork W3004453007 @default.
- W2301886730 hasRelatedWork W3138356261 @default.
- W2301886730 hasRelatedWork W50733142 @default.
- W2301886730 hasRelatedWork W63069167 @default.
- W2301886730 hasRelatedWork W2101235972 @default.
- W2301886730 isParatext "false" @default.
- W2301886730 isRetracted "false" @default.
- W2301886730 magId "2301886730" @default.
- W2301886730 workType "article" @default.