Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289130145> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4289130145 endingPage "1880" @default.
- W4289130145 startingPage "1869" @default.
- W4289130145 abstract "The conventional hospital environment is transformed into digital transformation that focuses on patient centric remote approach through advanced technologies. Early diagnosis of many diseases will improve the patient life. The cost of health care systems is reduced due to the use of advanced technologies such as Internet of Things (IoT), Wireless Sensor Networks (WSN), Embedded systems, Deep learning approaches and Optimization and aggregation methods. The data generated through these technologies will demand the bandwidth, data rate, latency of the network. In this proposed work, efficient discrete grey wolf optimization (DGWO) based data aggregation scheme using Elliptic curve Elgamal with Message Authentication code (ECEMAC) has been used to aggregate the parameters generated from the wearable sensor devices of the patient. The nodes that are far away from edge node will forward the data to its neighbor cluster head using DGWO. Aggregation scheme will reduce the number of transmissions over the network. The aggregated data are preprocessed at edge node to remove the noise for better diagnosis. Edge node will reduce the overhead of cloud server. The aggregated data are forward to cloud server for central storage and diagnosis. This proposed smart diagnosis will reduce the transmission cost through aggregation scheme which will reduce the energy of the system. Energy cost for proposed system for 300 nodes is 0.34μJ. Various energy cost of existing approaches such as secure privacy preserving data aggregation scheme (SPPDA), concealed data aggregation scheme for multiple application (CDAMA) and secure aggregation scheme (ASAS) are 1.3 μJ, 0.81 μJ and 0.51 μJ respectively. The optimization approaches and encryption method will ensure the data privacy." @default.
- W4289130145 created "2022-08-01" @default.
- W4289130145 creator A5008484597 @default.
- W4289130145 creator A5056024500 @default.
- W4289130145 creator A5068555962 @default.
- W4289130145 creator A5073834872 @default.
- W4289130145 date "2023-01-01" @default.
- W4289130145 modified "2023-09-25" @default.
- W4289130145 title "Discrete GWO Optimized Data Aggregation for Reducing Transmission Rate in IoT" @default.
- W4289130145 cites W1965385472 @default.
- W4289130145 cites W2003085167 @default.
- W4289130145 cites W2036484559 @default.
- W4289130145 cites W2146471895 @default.
- W4289130145 cites W2273107707 @default.
- W4289130145 cites W2529226091 @default.
- W4289130145 cites W2589526368 @default.
- W4289130145 cites W2619568410 @default.
- W4289130145 cites W2777543632 @default.
- W4289130145 cites W2804175422 @default.
- W4289130145 cites W2809674292 @default.
- W4289130145 cites W2890583810 @default.
- W4289130145 cites W2921008479 @default.
- W4289130145 cites W2931023587 @default.
- W4289130145 cites W2973074011 @default.
- W4289130145 cites W2978615250 @default.
- W4289130145 cites W3015269186 @default.
- W4289130145 cites W3021008856 @default.
- W4289130145 cites W3093374737 @default.
- W4289130145 cites W3119518653 @default.
- W4289130145 cites W3126450618 @default.
- W4289130145 cites W3129894253 @default.
- W4289130145 cites W3129937919 @default.
- W4289130145 cites W3129951689 @default.
- W4289130145 cites W3130560848 @default.
- W4289130145 cites W3153108575 @default.
- W4289130145 cites W3157494138 @default.
- W4289130145 cites W3189219008 @default.
- W4289130145 doi "https://doi.org/10.32604/csse.2023.025505" @default.
- W4289130145 hasPublicationYear "2023" @default.
- W4289130145 type Work @default.
- W4289130145 citedByCount "0" @default.
- W4289130145 crossrefType "journal-article" @default.
- W4289130145 hasAuthorship W4289130145A5008484597 @default.
- W4289130145 hasAuthorship W4289130145A5056024500 @default.
- W4289130145 hasAuthorship W4289130145A5068555962 @default.
- W4289130145 hasAuthorship W4289130145A5073834872 @default.
- W4289130145 hasBestOaLocation W42891301451 @default.
- W4289130145 hasConcept C111919701 @default.
- W4289130145 hasConcept C120314980 @default.
- W4289130145 hasConcept C24590314 @default.
- W4289130145 hasConcept C2779960059 @default.
- W4289130145 hasConcept C31258907 @default.
- W4289130145 hasConcept C41008148 @default.
- W4289130145 hasConcept C557945733 @default.
- W4289130145 hasConcept C79403827 @default.
- W4289130145 hasConcept C79974875 @default.
- W4289130145 hasConcept C82578977 @default.
- W4289130145 hasConceptScore W4289130145C111919701 @default.
- W4289130145 hasConceptScore W4289130145C120314980 @default.
- W4289130145 hasConceptScore W4289130145C24590314 @default.
- W4289130145 hasConceptScore W4289130145C2779960059 @default.
- W4289130145 hasConceptScore W4289130145C31258907 @default.
- W4289130145 hasConceptScore W4289130145C41008148 @default.
- W4289130145 hasConceptScore W4289130145C557945733 @default.
- W4289130145 hasConceptScore W4289130145C79403827 @default.
- W4289130145 hasConceptScore W4289130145C79974875 @default.
- W4289130145 hasConceptScore W4289130145C82578977 @default.
- W4289130145 hasIssue "3" @default.
- W4289130145 hasLocation W42891301451 @default.
- W4289130145 hasOpenAccess W4289130145 @default.
- W4289130145 hasPrimaryLocation W42891301451 @default.
- W4289130145 hasRelatedWork W2015855483 @default.
- W4289130145 hasRelatedWork W2073598738 @default.
- W4289130145 hasRelatedWork W2076572834 @default.
- W4289130145 hasRelatedWork W2092071486 @default.
- W4289130145 hasRelatedWork W2097225874 @default.
- W4289130145 hasRelatedWork W2391167130 @default.
- W4289130145 hasRelatedWork W2475198316 @default.
- W4289130145 hasRelatedWork W3124662540 @default.
- W4289130145 hasRelatedWork W4283067488 @default.
- W4289130145 hasRelatedWork W2460246254 @default.
- W4289130145 hasVolume "44" @default.
- W4289130145 isParatext "false" @default.
- W4289130145 isRetracted "false" @default.
- W4289130145 workType "article" @default.