Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100363886> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3100363886 endingPage "15919" @default.
- W3100363886 startingPage "15908" @default.
- W3100363886 abstract "Future Internet of Things (IoTs) networks will consist of a Hybrid Access Point (HAP) that powers devices via Radio Frequency (RF) signals. These devices harvest RF-energy and are tasked with monitoring target(s) such as vehicles at key locations. In order to maximize their expected targets monitoring time, this paper considers the problem of optimizing the HAP's transmit power, and the active time of devices. We formulate a Stochastic Program (SP) and solve it using the Sample Average Approximation method. We also present a sequential Monte-Carlo based reinforcement learning method or SMC-L to learn sensor activation time. Our results show that (i) the confidence interval upper bound of the solution derived by the SP is affected by the number of samples that represent targets appearance time, (ii) increasing the sensing range of devices affects the total expected target monitoring time, (iii) the learning speed of SMC-L is affected by its exploration rate, and (iv) SMC-L does not utilize the energy of devices fully under poor channel conditions." @default.
- W3100363886 created "2020-11-23" @default.
- W3100363886 creator A5017437002 @default.
- W3100363886 creator A5034008140 @default.
- W3100363886 creator A5040120584 @default.
- W3100363886 creator A5090189499 @default.
- W3100363886 date "2020-12-01" @default.
- W3100363886 modified "2023-09-26" @default.
- W3100363886 title "Stochastic Targets Monitoring in Wireless Powered Sensor Networks" @default.
- W3100363886 cites W1966000877 @default.
- W3100363886 cites W1967687113 @default.
- W3100363886 cites W1975772623 @default.
- W3100363886 cites W2004901160 @default.
- W3100363886 cites W2012233114 @default.
- W3100363886 cites W2044195080 @default.
- W3100363886 cites W2077217589 @default.
- W3100363886 cites W2078760323 @default.
- W3100363886 cites W2165118610 @default.
- W3100363886 cites W2177372563 @default.
- W3100363886 cites W2275246626 @default.
- W3100363886 cites W2334782222 @default.
- W3100363886 cites W2339130236 @default.
- W3100363886 cites W2520624197 @default.
- W3100363886 cites W2792872568 @default.
- W3100363886 cites W2809747090 @default.
- W3100363886 cites W2902603116 @default.
- W3100363886 cites W2907186756 @default.
- W3100363886 cites W2916569954 @default.
- W3100363886 cites W2931162415 @default.
- W3100363886 cites W2941491473 @default.
- W3100363886 cites W2962697507 @default.
- W3100363886 cites W2963333795 @default.
- W3100363886 cites W3020832721 @default.
- W3100363886 cites W3099258132 @default.
- W3100363886 doi "https://doi.org/10.1109/tvt.2020.3037555" @default.
- W3100363886 hasPublicationYear "2020" @default.
- W3100363886 type Work @default.
- W3100363886 sameAs 3100363886 @default.
- W3100363886 citedByCount "0" @default.
- W3100363886 crossrefType "journal-article" @default.
- W3100363886 hasAuthorship W3100363886A5017437002 @default.
- W3100363886 hasAuthorship W3100363886A5034008140 @default.
- W3100363886 hasAuthorship W3100363886A5040120584 @default.
- W3100363886 hasAuthorship W3100363886A5090189499 @default.
- W3100363886 hasConcept C105795698 @default.
- W3100363886 hasConcept C24590314 @default.
- W3100363886 hasConcept C31258907 @default.
- W3100363886 hasConcept C33923547 @default.
- W3100363886 hasConcept C41008148 @default.
- W3100363886 hasConcept C555944384 @default.
- W3100363886 hasConcept C76155785 @default.
- W3100363886 hasConcept C8272713 @default.
- W3100363886 hasConceptScore W3100363886C105795698 @default.
- W3100363886 hasConceptScore W3100363886C24590314 @default.
- W3100363886 hasConceptScore W3100363886C31258907 @default.
- W3100363886 hasConceptScore W3100363886C33923547 @default.
- W3100363886 hasConceptScore W3100363886C41008148 @default.
- W3100363886 hasConceptScore W3100363886C555944384 @default.
- W3100363886 hasConceptScore W3100363886C76155785 @default.
- W3100363886 hasConceptScore W3100363886C8272713 @default.
- W3100363886 hasFunder F4320321001 @default.
- W3100363886 hasIssue "12" @default.
- W3100363886 hasLocation W31003638861 @default.
- W3100363886 hasOpenAccess W3100363886 @default.
- W3100363886 hasPrimaryLocation W31003638861 @default.
- W3100363886 hasRelatedWork W1548040509 @default.
- W3100363886 hasRelatedWork W1781058469 @default.
- W3100363886 hasRelatedWork W1965229852 @default.
- W3100363886 hasRelatedWork W2078600672 @default.
- W3100363886 hasRelatedWork W2113861813 @default.
- W3100363886 hasRelatedWork W2130966263 @default.
- W3100363886 hasRelatedWork W2146200980 @default.
- W3100363886 hasRelatedWork W2378314110 @default.
- W3100363886 hasRelatedWork W2396046112 @default.
- W3100363886 hasRelatedWork W2510217115 @default.
- W3100363886 hasVolume "69" @default.
- W3100363886 isParatext "false" @default.
- W3100363886 isRetracted "false" @default.
- W3100363886 magId "3100363886" @default.
- W3100363886 workType "article" @default.