Matches in SemOpenAlex for { <https://semopenalex.org/work/W2782986898> ?p ?o ?g. }
- W2782986898 endingPage "133" @default.
- W2782986898 startingPage "133" @default.
- W2782986898 abstract "Energy Harvesting techniques are increasingly seen as the solution for freeing the wireless sensor nodes from their battery dependency. However, it remains evident that network performance features, such as network size, packet length, and duty cycle, are influenced by the sum of recovered energy. This paper proposes a new approach to defining the specifications of a stand-alone wireless node based on a Radio-frequency Energy Harvesting System (REHS). To achieve adequate performance regarding the range of the Wireless Sensor Network (WSN), techniques for minimizing the energy consumed by the sensor node are combined with methods for optimizing the performance of the REHS. For more rigor in the design of the autonomous node, a comprehensive energy model of the node in a wireless network is established. For an equitable distribution of network charges between the different nodes that compose it, the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is used for this purpose. The model considers five energy-consumption sources, most of which are ignored in recently used models. By using the hardware parameters of commercial off-the-shelf components (Mica2 Motes and CC2520 of Texas Instruments), the energy requirement of a sensor node is quantified. A miniature REHS based on a judicious choice of rectifying diodes is then designed and developed to achieve optimal performance in the Industrial Scientific and Medical (ISM) band centralized at 2.45 GHz . Due to the mismatch between the REHS and the antenna, a band pass filter is designed to reduce reflection losses. A gradient method search is used to optimize the output characteristics of the adapted REHS. At 1 mW of input RF power, the REHS provides an output DC power of 0.57 mW and a comparison with the energy requirement of the node allows the Base Station (BS) to be located at 310 m from the wireless nodes when the Wireless Sensor Network (WSN) has 100 nodes evenly spread over an area of 300 × 300 m 2 and when each round lasts 10 min . The result shows that the range of the autonomous WSN increases when the controlled physical phenomenon varies very slowly. Having taken into account all the dissipation sources coexisting in a sensor node and using actual measurements of an REHS, this work provides the guidelines for the design of autonomous nodes based on REHS." @default.
- W2782986898 created "2018-01-26" @default.
- W2782986898 creator A5018712158 @default.
- W2782986898 creator A5031142467 @default.
- W2782986898 date "2018-01-05" @default.
- W2782986898 modified "2023-10-16" @default.
- W2782986898 title "A New Approach to Design Autonomous Wireless Sensor Node Based on RF Energy Harvesting System" @default.
- W2782986898 cites W1995804731 @default.
- W2782986898 cites W2000247701 @default.
- W2782986898 cites W2011379925 @default.
- W2782986898 cites W2018215034 @default.
- W2782986898 cites W2046672513 @default.
- W2782986898 cites W2061720025 @default.
- W2782986898 cites W2094117776 @default.
- W2782986898 cites W2104846640 @default.
- W2782986898 cites W2111075016 @default.
- W2782986898 cites W2113425337 @default.
- W2782986898 cites W2120345201 @default.
- W2782986898 cites W2122432011 @default.
- W2782986898 cites W2132417948 @default.
- W2782986898 cites W2138536318 @default.
- W2782986898 cites W2147939666 @default.
- W2782986898 cites W2154988220 @default.
- W2782986898 cites W2156627912 @default.
- W2782986898 cites W2160623272 @default.
- W2782986898 cites W2199158181 @default.
- W2782986898 cites W2213665056 @default.
- W2782986898 cites W2249563042 @default.
- W2782986898 cites W2334568393 @default.
- W2782986898 cites W2474565435 @default.
- W2782986898 cites W2503998346 @default.
- W2782986898 cites W2508281230 @default.
- W2782986898 cites W2522269162 @default.
- W2782986898 cites W2560095788 @default.
- W2782986898 cites W2563098469 @default.
- W2782986898 cites W2583813690 @default.
- W2782986898 cites W2588951930 @default.
- W2782986898 cites W2596541372 @default.
- W2782986898 cites W2605997107 @default.
- W2782986898 cites W2607480849 @default.
- W2782986898 cites W2610374000 @default.
- W2782986898 cites W2611652166 @default.
- W2782986898 cites W2621089800 @default.
- W2782986898 cites W2622592333 @default.
- W2782986898 cites W2701627121 @default.
- W2782986898 cites W2726608022 @default.
- W2782986898 doi "https://doi.org/10.3390/s18010133" @default.
- W2782986898 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5796551" @default.
- W2782986898 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29304002" @default.
- W2782986898 hasPublicationYear "2018" @default.
- W2782986898 type Work @default.
- W2782986898 sameAs 2782986898 @default.
- W2782986898 citedByCount "31" @default.
- W2782986898 countsByYear W27829868982018 @default.
- W2782986898 countsByYear W27829868982019 @default.
- W2782986898 countsByYear W27829868982020 @default.
- W2782986898 countsByYear W27829868982021 @default.
- W2782986898 countsByYear W27829868982022 @default.
- W2782986898 countsByYear W27829868982023 @default.
- W2782986898 crossrefType "journal-article" @default.
- W2782986898 hasAuthorship W2782986898A5018712158 @default.
- W2782986898 hasAuthorship W2782986898A5031142467 @default.
- W2782986898 hasBestOaLocation W27829868981 @default.
- W2782986898 hasConcept C101518730 @default.
- W2782986898 hasConcept C105795698 @default.
- W2782986898 hasConcept C108037233 @default.
- W2782986898 hasConcept C111185680 @default.
- W2782986898 hasConcept C119599485 @default.
- W2782986898 hasConcept C127413603 @default.
- W2782986898 hasConcept C158379750 @default.
- W2782986898 hasConcept C165801399 @default.
- W2782986898 hasConcept C186370098 @default.
- W2782986898 hasConcept C187713609 @default.
- W2782986898 hasConcept C199822604 @default.
- W2782986898 hasConcept C24590314 @default.
- W2782986898 hasConcept C2780165032 @default.
- W2782986898 hasConcept C31258907 @default.
- W2782986898 hasConcept C33923547 @default.
- W2782986898 hasConcept C41008148 @default.
- W2782986898 hasConcept C41971633 @default.
- W2782986898 hasConcept C555944384 @default.
- W2782986898 hasConcept C62611344 @default.
- W2782986898 hasConcept C66938386 @default.
- W2782986898 hasConcept C76155785 @default.
- W2782986898 hasConcept C79403827 @default.
- W2782986898 hasConceptScore W2782986898C101518730 @default.
- W2782986898 hasConceptScore W2782986898C105795698 @default.
- W2782986898 hasConceptScore W2782986898C108037233 @default.
- W2782986898 hasConceptScore W2782986898C111185680 @default.
- W2782986898 hasConceptScore W2782986898C119599485 @default.
- W2782986898 hasConceptScore W2782986898C127413603 @default.
- W2782986898 hasConceptScore W2782986898C158379750 @default.
- W2782986898 hasConceptScore W2782986898C165801399 @default.
- W2782986898 hasConceptScore W2782986898C186370098 @default.
- W2782986898 hasConceptScore W2782986898C187713609 @default.
- W2782986898 hasConceptScore W2782986898C199822604 @default.
- W2782986898 hasConceptScore W2782986898C24590314 @default.
- W2782986898 hasConceptScore W2782986898C2780165032 @default.