Please use this identifier to cite or link to this item: https://doi.org/10.3390/s150407434
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dc.titleA distributed transmission rate adjustment algorithm in heterogeneous CSMA/CA networks
dc.contributor.authorXie, S
dc.contributor.authorLow, K.S
dc.contributor.authorGunawan, E
dc.date.accessioned2020-10-26T06:50:26Z
dc.date.available2020-10-26T06:50:26Z
dc.date.issued2015
dc.identifier.citationXie, S, Low, K.S, Gunawan, E (2015). A distributed transmission rate adjustment algorithm in heterogeneous CSMA/CA networks. Sensors (Switzerland) 15 (4) : 7434-7453. ScholarBank@NUS Repository. https://doi.org/10.3390/s150407434
dc.identifier.issn1424-8220
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/180083
dc.description.abstractDistributed transmission rate tuning is important for a wide variety of IEEE 802.15.4 network applications such as industrial network control systems. Such systems often require each node to sustain certain throughput demand in order to guarantee the system performance. It is thus essential to determine a proper transmission rate that can meet the application requirement and compensate for network imperfections (e.g., packet loss). Such a tuning in a heterogeneous network is difficult due to the lack of modeling techniques that can deal with the heterogeneity of the network as well as the network traffic changes. In this paper, a distributed transmission rate tuning algorithm in a heterogeneous IEEE 802.15.4 CSMA/CA network is proposed. Each node uses the results of clear channel assessment (CCA) to estimate the busy channel probability. Then a mathematical framework is developed to estimate the on-going heterogeneous traffics using the busy channel probability at runtime. Finally a distributed algorithm is derived to tune the transmission rate of each node to accurately meet the throughput requirement. The algorithm does not require modifications on IEEE 802.15.4 MAC layer and it has been experimentally implemented and extensively tested using TelosB nodes with the TinyOS protocol stack. The results reveal that the algorithm is accurate and can satisfy the throughput demand. Compared with existing techniques, the algorithm is fully distributed and thus does not require any central coordination. With this property, it is able to adapt to traffic changes and re-adjust the transmission rate to the desired level, which cannot be achieved using the traditional modeling techniques. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
dc.publisherMDPI AG
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectAlgorithms
dc.subjectCarrier sense multiple access
dc.subjectEstimation
dc.subjectHeterogeneous networks
dc.subjectSensor nodes
dc.subjectStandards
dc.subjectThroughput
dc.subjectApplication requirements
dc.subjectCSMA/CA
dc.subjectDistributed processing
dc.subjectDistributed transmissions
dc.subjectIeee 802.15.4 csma/ca
dc.subjectIEEE 802.15.4 networks
dc.subjectMathematical frameworks
dc.subjectTransmission rates
dc.subjectWireless sensor networks
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.3390/s150407434
dc.description.sourcetitleSensors (Switzerland)
dc.description.volume15
dc.description.issue4
dc.description.page7434-7453
dc.published.statePublished
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