Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896860021> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2896860021 abstract "As a promising technology in the context of m-health and e-medical, wireless body area networks (WBANs) have a stringent requirement in terms of transmission reliability. Meanwhile, the wireless channel in WBANs is prone to deep fading due to multiple reasons, such as shadowing by the body, reflection, diffraction, and interference. To meet the challenge in transmission reliability, the dynamic slot scheduling (DSS) methods have attracted considerable interest in recent years. DSS method does not require extra hardware or software overhead on the sensor side. Instead, the hub optimizes the time-division multiple access slots by selecting the best permutation at the beginning of each superframe to improve the transmission reliability. However, most existing DSS works optimize the time slot scheduling based on a two-state (“good” or “bad”) Markov channel model, which is insufficient for human daily life scenarios with a variety of irregular activities. In this paper, we first collect the channel gain data in the real human daily scenarios and analyze the autocorrelation of wireless channels based on this real database. Motivated by the significant temporal autocorrelation, we then propose a new DSS method, which applies a temporal autocorrelation model to predict the channel condition for future time slots. The new method is designed to be compatible with IEEE 802.15.6 standard. Compared to the classical Markov model-based methods, simulation results show that the newly proposed DSS method achieves up to 12.9% reduction in terms of packet loss ratios." @default.
- W2896860021 created "2018-10-26" @default.
- W2896860021 creator A5038383353 @default.
- W2896860021 creator A5045728009 @default.
- W2896860021 creator A5082959326 @default.
- W2896860021 date "2018-10-20" @default.
- W2896860021 modified "2023-09-26" @default.
- W2896860021 title "Channel autocorrelation-based dynamic slot scheduling for body area networks" @default.
- W2896860021 cites W1977340837 @default.
- W2896860021 cites W1994887992 @default.
- W2896860021 cites W2007893093 @default.
- W2896860021 cites W2024445160 @default.
- W2896860021 cites W2032875633 @default.
- W2896860021 cites W2039762653 @default.
- W2896860021 cites W2054380376 @default.
- W2896860021 cites W2063142364 @default.
- W2896860021 cites W2101893000 @default.
- W2896860021 cites W2122901290 @default.
- W2896860021 cites W2132781907 @default.
- W2896860021 cites W2134353644 @default.
- W2896860021 cites W2150675028 @default.
- W2896860021 cites W2222512263 @default.
- W2896860021 cites W2273113005 @default.
- W2896860021 cites W2318059334 @default.
- W2896860021 cites W2338046886 @default.
- W2896860021 cites W2345240545 @default.
- W2896860021 cites W2523691217 @default.
- W2896860021 cites W2564560052 @default.
- W2896860021 cites W2567412747 @default.
- W2896860021 cites W1892577571 @default.
- W2896860021 doi "https://doi.org/10.1186/s13638-018-1261-8" @default.
- W2896860021 hasPublicationYear "2018" @default.
- W2896860021 type Work @default.
- W2896860021 sameAs 2896860021 @default.
- W2896860021 citedByCount "9" @default.
- W2896860021 countsByYear W28968600212018 @default.
- W2896860021 countsByYear W28968600212021 @default.
- W2896860021 countsByYear W28968600212022 @default.
- W2896860021 countsByYear W28968600212023 @default.
- W2896860021 crossrefType "journal-article" @default.
- W2896860021 hasAuthorship W2896860021A5038383353 @default.
- W2896860021 hasAuthorship W2896860021A5045728009 @default.
- W2896860021 hasAuthorship W2896860021A5082959326 @default.
- W2896860021 hasBestOaLocation W28968600211 @default.
- W2896860021 hasConcept C105795698 @default.
- W2896860021 hasConcept C126255220 @default.
- W2896860021 hasConcept C127162648 @default.
- W2896860021 hasConcept C206729178 @default.
- W2896860021 hasConcept C31258907 @default.
- W2896860021 hasConcept C33923547 @default.
- W2896860021 hasConcept C41008148 @default.
- W2896860021 hasConcept C5297727 @default.
- W2896860021 hasConceptScore W2896860021C105795698 @default.
- W2896860021 hasConceptScore W2896860021C126255220 @default.
- W2896860021 hasConceptScore W2896860021C127162648 @default.
- W2896860021 hasConceptScore W2896860021C206729178 @default.
- W2896860021 hasConceptScore W2896860021C31258907 @default.
- W2896860021 hasConceptScore W2896860021C33923547 @default.
- W2896860021 hasConceptScore W2896860021C41008148 @default.
- W2896860021 hasConceptScore W2896860021C5297727 @default.
- W2896860021 hasIssue "1" @default.
- W2896860021 hasLocation W28968600211 @default.
- W2896860021 hasLocation W28968600212 @default.
- W2896860021 hasOpenAccess W2896860021 @default.
- W2896860021 hasPrimaryLocation W28968600211 @default.
- W2896860021 hasRelatedWork W1507894569 @default.
- W2896860021 hasRelatedWork W1882733036 @default.
- W2896860021 hasRelatedWork W2111476129 @default.
- W2896860021 hasRelatedWork W2130966263 @default.
- W2896860021 hasRelatedWork W2359317704 @default.
- W2896860021 hasRelatedWork W2371870591 @default.
- W2896860021 hasRelatedWork W2460185273 @default.
- W2896860021 hasRelatedWork W2546696010 @default.
- W2896860021 hasRelatedWork W2997221951 @default.
- W2896860021 hasRelatedWork W3174582865 @default.
- W2896860021 hasVolume "2018" @default.
- W2896860021 isParatext "false" @default.
- W2896860021 isRetracted "false" @default.
- W2896860021 magId "2896860021" @default.
- W2896860021 workType "article" @default.