FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1113963> ?p ?o ?g. }

• W1113963 abstract "Wireless Sensor Networks (WSNs), in addition to enabling monitoring solutions for numerous new applications areas, have gained huge popularity as a cost-effective, dynamically scalable, easy to deploy and maintainable alternatives to conventional infrastructure-based monitoring solutions.A WSN consists of spatially distributed autonomous wireless sensor nodes that measure desired physical phenomena and operate in a collaborative manner to relay the acquired information wirelessly to a central location. A wireless sensor node, integrating the required resources to enable infrastructure-less distributed monitoring, is constrained by its size, cost and energy. In order to address these constraints, a typical wireless sensor node is designed based on low-power and low-cost modules that in turn provide limited communication and processing performances. Data and computation intensive wireless monitoring applications, on the other hand, not only demand higher communication bandwidth and computational performance but also require practically feasible operational lifetimes so as to reduce the maintenance cost associated with the replacement of batteries. In relation to the communication and processing requirements of such applications and the constraints associated with a typical wireless sensor node, this thesis explores energy efficient wireless sensor node architecture that enables realization of data and computation intensive applications.Architectures enabling raw data transmission and in-sensor processing with various technological alternatives are explored. The potential architectural alternatives are evaluated both analytically and quantitatively with regards to different design parameters, in particular, the performance and the energy consumption. For quantitative evaluation purposes, the experiments are conducted on vibration and image-based industrial condition monitoring applications that are not only data and computation intensive but also are of practical importance.Regarding the choice of an appropriate wireless technology in an architecture enabling raw data transmission, standard based communication technologies including infrared, mobile broadband, WiMax, LAN, Bluetooth, and ZigBee are investigated. With regards to in-sensor processing, different architectures comprising of sequential processors and FPGAs are realized to evaluate different design parameters, especially the performance and energy efficiency. Afterwards, the architectures enabling raw data transmission only and those involving in-sensor processing are evaluated so as to find an energy efficient solution. The results of this investigation show that in-sensor processing architecture, comprising of an FPGA for computation purposes, is more energy efficient when compared with other alternatives in relation to the data and computation intensive applications.Based on the results obtained and the experiences learned in the architectural evaluation study, an FPGA-based high-performance wireless sensor platform, the SENTIOF, is designed and developed. In addition to performance, the SETNIOF is designed to enable dynamic optimization of energy consumption. This includes enabling integrated modules to be completely switched-off and providing a fast configuration support to the FPGA. In order to validate the results of the evaluation studies, and to assess the performance and energy consumption of real implementations, both the vibration and image-based industrial monitoring applications are realized using the SENTIOF. In terms of computational performance for both of these applications, the real-time processing goals are achieved. For example, in the case of vibration-based monitoring, real-time processing performance for tri-axes (horizontal, vertical and axial) vibration data are achieved for sampling rates of more than 100 kHz.With regards to energy consumption, based on the measured power consumption that also includes the power consumed during the FPGA’s configuration process, the operational lifetimes are estimated using a single cell battery (similar to an AA battery in terms of shape and size) with a typical capacity of 2600 mA. In the case of vibration-based condition monitoring, an operational lifetime of more than two years can be achieved for duty-cycle interval of 10 minutes or more. The achievable operational lifetime of image-based monitoring is more than 3 years for a duty-cycle interval of 5 minutes or more." @default.
• W1113963 created "2016-06-24" @default.
• W1113963 creator A5017639280 @default.
• W1113963 creator A5051951845 @default.
• W1113963 creator A5067449032 @default.
• W1113963 date "2014-01-01" @default.
• W1113963 modified "2023-09-26" @default.
• W1113963 title "Feasibility study of on-Rotor Vibration Monitoring using Accelerometers" @default.
• W1113963 hasPublicationYear "2014" @default.
• W1113963 type Work @default.
• W1113963 sameAs 1113963 @default.
• W1113963 citedByCount "0" @default.
• W1113963 crossrefType "journal-article" @default.
• W1113963 hasAuthorship W1113963A5017639280 @default.
• W1113963 hasAuthorship W1113963A5051951845 @default.
• W1113963 hasAuthorship W1113963A5067449032 @default.
• W1113963 hasConcept C108037233 @default.
• W1113963 hasConcept C111185680 @default.
• W1113963 hasConcept C120314980 @default.
• W1113963 hasConcept C127413603 @default.
• W1113963 hasConcept C149635348 @default.
• W1113963 hasConcept C24590314 @default.
• W1113963 hasConcept C31258907 @default.
• W1113963 hasConcept C41008148 @default.
• W1113963 hasConcept C41971633 @default.
• W1113963 hasConcept C48044578 @default.
• W1113963 hasConcept C555944384 @default.
• W1113963 hasConcept C62611344 @default.
• W1113963 hasConcept C66938386 @default.
• W1113963 hasConcept C76155785 @default.
• W1113963 hasConcept C77088390 @default.
• W1113963 hasConcept C79403827 @default.
• W1113963 hasConceptScore W1113963C108037233 @default.
• W1113963 hasConceptScore W1113963C111185680 @default.
• W1113963 hasConceptScore W1113963C120314980 @default.
• W1113963 hasConceptScore W1113963C127413603 @default.
• W1113963 hasConceptScore W1113963C149635348 @default.
• W1113963 hasConceptScore W1113963C24590314 @default.
• W1113963 hasConceptScore W1113963C31258907 @default.
• W1113963 hasConceptScore W1113963C41008148 @default.
• W1113963 hasConceptScore W1113963C41971633 @default.
• W1113963 hasConceptScore W1113963C48044578 @default.
• W1113963 hasConceptScore W1113963C555944384 @default.
• W1113963 hasConceptScore W1113963C62611344 @default.
• W1113963 hasConceptScore W1113963C66938386 @default.
• W1113963 hasConceptScore W1113963C76155785 @default.
• W1113963 hasConceptScore W1113963C77088390 @default.
• W1113963 hasConceptScore W1113963C79403827 @default.
• W1113963 hasLocation W11139631 @default.
• W1113963 hasOpenAccess W1113963 @default.
• W1113963 hasPrimaryLocation W11139631 @default.
• W1113963 hasRelatedWork W129269979 @default.
• W1113963 hasRelatedWork W151391742 @default.
• W1113963 hasRelatedWork W1550202551 @default.
• W1113963 hasRelatedWork W166551971 @default.
• W1113963 hasRelatedWork W1725056955 @default.
• W1113963 hasRelatedWork W2019494485 @default.
• W1113963 hasRelatedWork W2104301819 @default.
• W1113963 hasRelatedWork W2111850772 @default.
• W1113963 hasRelatedWork W2116521985 @default.
• W1113963 hasRelatedWork W2124197530 @default.
• W1113963 hasRelatedWork W2124785988 @default.
• W1113963 hasRelatedWork W2155361910 @default.
• W1113963 hasRelatedWork W2551033207 @default.
• W1113963 hasRelatedWork W2580787302 @default.
• W1113963 hasRelatedWork W2906748114 @default.
• W1113963 hasRelatedWork W2920532826 @default.
• W1113963 hasRelatedWork W312889217 @default.
• W1113963 hasRelatedWork W63069167 @default.
• W1113963 hasRelatedWork W95278313 @default.
• W1113963 hasRelatedWork W2184106201 @default.
• W1113963 isParatext "false" @default.
• W1113963 isRetracted "false" @default.
• W1113963 magId "1113963" @default.
• W1113963 workType "article" @default.