2014
DOI: 10.1109/tvt.2014.2354475
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Analysis of Queuing Delay and Medium Access Distribution over Wireless Multihop PANs

Abstract: This paper proposes a novel analytical approach to analyse the queuing delay and medium access distribution of CSMA-CA protocols over Multihop Personal Area Networks (MPANs). The proposed approach considers a general case without restrictions on the topology, traffic generation patterns or multipath routing policy and accounts for heterogeneous traffic patterns, all possible packet loss scenarios and the effect of the length of the back-off on the channel assessment. This work uses statistical theorems to deri… Show more

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Cited by 14 publications
(12 citation statements)
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“…and φ(k, m) is the probability of assessing the channel at slot k in sensing stage m. The value of φ(k, m) is also recursively computed as a cumulative probability of sensing the channel at slot j in the previous sensing stage, finding the channel as busy in either the first or second slot and accordingly, backing off for k − j slots with probability 1 Wm in the current sensing stage m [38]. In other words, φ(k, m) can be calculated as…”
Section: ) Queuing Delaymentioning
confidence: 99%
“…and φ(k, m) is the probability of assessing the channel at slot k in sensing stage m. The value of φ(k, m) is also recursively computed as a cumulative probability of sensing the channel at slot j in the previous sensing stage, finding the channel as busy in either the first or second slot and accordingly, backing off for k − j slots with probability 1 Wm in the current sensing stage m [38]. In other words, φ(k, m) can be calculated as…”
Section: ) Queuing Delaymentioning
confidence: 99%
“…For an opportunistic multi-hop cognitive radio network, the average end-to-end latency in the secondary network was studied in [10] by applying queuing theoretic techniques and a diffusion approximation. In [11], the queuing delay and medium access distribution over multi-hop personal area networks was investigated.…”
Section: B Related Workmentioning
confidence: 99%
“…In spite of many significant achievements in multi-hop networks with buffers, e.g., [11], [17], [21], [22], the research on traffic allocation to achieve low-latency schemes is rather limited. In our recent work [23], two low-latency schemes for mm-wave communications, namely traffic dispersion and network densification, were investigated in the framework of network calculus and effective capacity.…”
Section: B Related Workmentioning
confidence: 99%
“…Based on the inter-arrival time and service time obtained above, average end-to-end delay Li,j and jitter Ji,j over link(i,j) can be approximated as below [32]:  Li,j=E(SDi,j)+E(ADi)D(SDi,j)+E(SDi,j)D(ADi)2[1E(ADi)E(SDi,j)]  Ji,j=E(ADi)2D(SDi,j)+D(ADi)E(SDi,j)24E(ADi)E(SDi,j)+D(ADi)2D(SDi,j)+D(ADi)D(SDi,j)2[D(ADi)+D(SDi,j)]2…”
Section: Design Of the Cldo Schemementioning
confidence: 99%