2009
DOI: 10.1109/tvt.2008.923669
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Enhanced Markov Chain Model and Throughput Analysis of the Slotted CSMA/CA for IEEE 802.15.4 Under Unsaturated Traffic Conditions

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Cited by 113 publications
(67 citation statements)
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References 8 publications
(6 reference statements)
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“…al. [14] made an exhaustive study about the CSMA/CA protocol in beaconenabled PANs. Each study described a Markov model to understand its possible operation states and temporal aspects of this protocol.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…al. [14] made an exhaustive study about the CSMA/CA protocol in beaconenabled PANs. Each study described a Markov model to understand its possible operation states and temporal aspects of this protocol.…”
Section: Resultsmentioning
confidence: 99%
“…al. [14] analyze the performance of CSMA/CA protocol under unsaturated traffic conditions. Although the initial assumptions about the topology and the transmission range of the nodes, the authors consider that there are no transmission errors and no channel sense errors.…”
Section: Resultsmentioning
confidence: 99%
“…In [19], the authors proposed to employ renewal theory for analysis of the slotted non-persistent IEEE 802.15.4 MAC. The authors in [20] invented another analytical Markov chain (MC) model for the unsaturated slotted carrier sense multiple access with collision avoidance (CSMA/CA) of the IEEE 802.15.4 MAC considering the superframe structure. The MC model for throughput analysis of saturated and unsaturated IEEE 802.15.4 networks was developed in [21].…”
Section: Introductionmentioning
confidence: 99%
“…The first approach is inspired from the seminal work of Bianchi on the analysis of IEEE 802.11 [4], and is based on modelling the behavior of a sensing node using a Markov chain. The most relevant contributions along this approach are [5], which adapts Bianchi's model to the specific contention access procedure of the slotted IEEE 802.15.4 CAP under unacknowledged saturated traffic conditions, [6] which corrects the analysis in [5] and extends it to include acknowledgment transmission, and [7] which proposes a more complex model reflecting additionally the superframe structure under unsaturated traffic conditions. A final relevant contribution, upon which our work is based, is the work of Ramachandran et al [8] which develops a framework based on two Markov chains; the Node-State chain to determine the frac-tion of time a node spends in different states and the Channel-State chain to calculate the throughput of the network.…”
Section: Introductionmentioning
confidence: 99%