Matches in SemOpenAlex for { <https://semopenalex.org/work/W4361732949> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W4361732949 abstract "Low-power wide-area networks (LPWANs) have become ubiquitous in the Internet of Things (IoT) applications due to their ability to connect sensors across large geographic areas over a single hop. It is, however, very challenging to achieve massive scalability in LPWANs where numerous sensors can transmit data energy efficiently and with low latency, which may be required by the emerging IoT applications. In this paper, we address the above challenges by significantly advancing an LPWAN technology called SNOW (sensor network over white spaces). SNOW exploits D-OFDM (distributed orthogonal frequency division multiplexing) to enable parallel reception of data to a base station (BS) from multiple asynchronous sensors, each sensor using a different D-OFDM subcarrier. In this paper, we achieve massive scalability in SNOW by enabling the BS to decode parallel data from multiple asynchronous sensors on the same subcarrier while concurrently decoding from other subcarriers as well. To do this, we develop a set of pseudorandom noise (PN) sequences that are mutually non-interfering within and across the DOFDM subcarriers. Each sensor uses its own PN sequence (from the set) for modulating data on its subcarriers, enabling massive concurrency in SNOW. Our simulation results show that we can achieve approximately 9x more scalability in SNOW while being both energy efficient at the sensors and timely in data collection at the BS, thereby enabling emerging IoT applications that require longer sensor battery life as well as make time-critical, data-driven decisions." @default.
- W4361732949 created "2023-04-04" @default.
- W4361732949 creator A5010146553 @default.
- W4361732949 creator A5021382142 @default.
- W4361732949 date "2022-12-01" @default.
- W4361732949 modified "2023-09-26" @default.
- W4361732949 title "Enabling Massive Scalability in Low-Power Wide-Area Networks" @default.
- W4361732949 cites W1984386576 @default.
- W4361732949 cites W2024483577 @default.
- W4361732949 cites W2067096554 @default.
- W4361732949 cites W2105749254 @default.
- W4361732949 cites W2129690209 @default.
- W4361732949 cites W2140947457 @default.
- W4361732949 cites W2168452204 @default.
- W4361732949 cites W2171910546 @default.
- W4361732949 cites W2180368011 @default.
- W4361732949 cites W2499400668 @default.
- W4361732949 cites W2525332113 @default.
- W4361732949 cites W2546932245 @default.
- W4361732949 cites W2599147577 @default.
- W4361732949 cites W2765310706 @default.
- W4361732949 cites W2771152181 @default.
- W4361732949 cites W2794022528 @default.
- W4361732949 cites W2806216193 @default.
- W4361732949 cites W2806901199 @default.
- W4361732949 cites W2807125837 @default.
- W4361732949 cites W2887280345 @default.
- W4361732949 cites W2903076712 @default.
- W4361732949 cites W2917931339 @default.
- W4361732949 cites W2925629227 @default.
- W4361732949 cites W2998218219 @default.
- W4361732949 cites W3049049716 @default.
- W4361732949 cites W3098622292 @default.
- W4361732949 cites W3105124082 @default.
- W4361732949 cites W3110502668 @default.
- W4361732949 cites W3162449130 @default.
- W4361732949 cites W3182207866 @default.
- W4361732949 doi "https://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00291" @default.
- W4361732949 hasPublicationYear "2022" @default.
- W4361732949 type Work @default.
- W4361732949 citedByCount "1" @default.
- W4361732949 countsByYear W43617329492023 @default.
- W4361732949 crossrefType "proceedings-article" @default.
- W4361732949 hasAuthorship W4361732949A5010146553 @default.
- W4361732949 hasAuthorship W4361732949A5021382142 @default.
- W4361732949 hasConcept C151319957 @default.
- W4361732949 hasConcept C158379750 @default.
- W4361732949 hasConcept C24590314 @default.
- W4361732949 hasConcept C2776238582 @default.
- W4361732949 hasConcept C2776445043 @default.
- W4361732949 hasConcept C31258907 @default.
- W4361732949 hasConcept C41008148 @default.
- W4361732949 hasConcept C48044578 @default.
- W4361732949 hasConcept C77088390 @default.
- W4361732949 hasConcept C79403827 @default.
- W4361732949 hasConceptScore W4361732949C151319957 @default.
- W4361732949 hasConceptScore W4361732949C158379750 @default.
- W4361732949 hasConceptScore W4361732949C24590314 @default.
- W4361732949 hasConceptScore W4361732949C2776238582 @default.
- W4361732949 hasConceptScore W4361732949C2776445043 @default.
- W4361732949 hasConceptScore W4361732949C31258907 @default.
- W4361732949 hasConceptScore W4361732949C41008148 @default.
- W4361732949 hasConceptScore W4361732949C48044578 @default.
- W4361732949 hasConceptScore W4361732949C77088390 @default.
- W4361732949 hasConceptScore W4361732949C79403827 @default.
- W4361732949 hasLocation W43617329491 @default.
- W4361732949 hasOpenAccess W4361732949 @default.
- W4361732949 hasPrimaryLocation W43617329491 @default.
- W4361732949 hasRelatedWork W1993766952 @default.
- W4361732949 hasRelatedWork W2038592428 @default.
- W4361732949 hasRelatedWork W2078600672 @default.
- W4361732949 hasRelatedWork W2111277886 @default.
- W4361732949 hasRelatedWork W2364921833 @default.
- W4361732949 hasRelatedWork W2373443955 @default.
- W4361732949 hasRelatedWork W3098845345 @default.
- W4361732949 hasRelatedWork W17611330 @default.
- W4361732949 hasRelatedWork W185677139 @default.
- W4361732949 hasRelatedWork W2611314012 @default.
- W4361732949 isParatext "false" @default.
- W4361732949 isRetracted "false" @default.
- W4361732949 workType "article" @default.