Stochastic Network Calculus Model for Delay Distribution of Time Division Multiple Access and Carrier Sense Multiple Access in Underwater Acoustic Wireless Communication

Saravanan, M.; Sukumaran, Rajeev; Christhuraj, M.R.; Manikandan, T.

doi:10.47059/revistageintec.v11i4.2325

Cited by 1 publication

(4 citation statements)

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“…The probability of mass function (PMF) denotes the delay distribution for underwater U‐TDMA 14 . The flow of data ends at the destination D , so PMF calculates the delay distribution at D .…”

Section: Delay Distribution For Underwater U‐tdma Modelmentioning

confidence: 99%

“…Then the distribution function f and negative distribution function are

\overset{f}{true}

denoted by the following.

\begin{matrix} f = ({}, fun false(. false) : \forall 0 \leq x_{1} \leq y_{1}, 0 \leq fun ((), x_{1}) \leq fun ((), y_{1})) \\ \overset{f}{true} = ({}, fun false(. false) : \forall 0 \leq x_{1} \leq y_{1}, 0 \leq fun ((), y_{1}) \leq fun ((), x_{1})) \end{matrix}

The min‐plus functions have been categorized under

((), \min \oplus .)

, the exertion of f and g has been symbolized as follows 14,21

false(f \oplus g false) ((), x_{1}) = Inf . ([], f ((), y_{1}) + g ((), x_{1} - y_{1}))

\min

plus Fun.…”

Section: Snc For Traffic Model Of Underwater U‐tdmamentioning

confidence: 99%

“…The probability of mass function (PMF) denotes the delay distribution for underwater U-TDMA. 14 The flow of data ends at the destination D, so PMF calculates the delay distribution at D. The PMF is calculated from the probability of P D j ¼delay d ð Þ Â Ã , d belongs to the positive values, and the network allows the calculation of the PMF for all flows between nodes. The worst-case stochastic delay calculated at the flow ending node denoted as ðdÞ wc for P½D j ≥ delay d ð Þ is expressed as follows.…”

Section: Delay Distribution For Underwater U-tdma Modelmentioning

confidence: 99%

“…The min-plus functions have been categorized under min L : ð Þ , the exertion of f and g has been symbolized as follows. 14,21 ðf M gÞ x 1 ð Þ¼Inf:…”

Section: Snc For Traffic Model Of Underwater U-tdmamentioning

confidence: 99%

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Medium Access Control layer protocol design based on stochastic network calculus for underwater wireless communication in open‐ocean fish farming

Saravanan

Sukumaran

Radhakrishnan

et al. 2022

Int J Communication

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Summary The usage of the underwater communication channel and medium access control (MAC) layer protocol architecture is the most problematic aspect of a seawater wireless communication network. The underwater acoustic wireless communication is a highly appealing choice for information transfer in the communication medium. However, calculating the deferral rate for transmitting real‐time traffic is a challenging task in the underwater environment. Therefore, it introduces the research challenges related to underwater communication, especially throughput and transmission deferral. This research work investigates an MAC protocol U‐TDMA with multi‐hop worst‐case delay analysis for different flow and relays. This research intended to compare the execution of the U‐TDMA protocol with stochastic network calculus (SNC) and without SNC. The U‐TDMA‐wireless protocol establishes the connection and forwards the fish‐mandated information to the mobile sink with the help of upper layers. Also, it improves interface efficiency by taking account of the lengthy delay time of the underwater acoustic channel and addressing difficulties connected to the terminal.

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Section: Delay Distribution For Underwater U‐tdma Modelmentioning

confidence: 99%

“…Then the distribution function f and negative distribution function are

\overset{f}{true}

denoted by the following.

\begin{matrix} f = ({}, fun false(. false) : \forall 0 \leq x_{1} \leq y_{1}, 0 \leq fun ((), x_{1}) \leq fun ((), y_{1})) \\ \overset{f}{true} = ({}, fun false(. false) : \forall 0 \leq x_{1} \leq y_{1}, 0 \leq fun ((), y_{1}) \leq fun ((), x_{1})) \end{matrix}

The min‐plus functions have been categorized under

((), \min \oplus .)

, the exertion of f and g has been symbolized as follows 14,21

false(f \oplus g false) ((), x_{1}) = Inf . ([], f ((), y_{1}) + g ((), x_{1} - y_{1}))

\min

plus Fun.…”

Section: Snc For Traffic Model Of Underwater U‐tdmamentioning

confidence: 99%

Section: Delay Distribution For Underwater U-tdma Modelmentioning

confidence: 99%

“…The min-plus functions have been categorized under min L : ð Þ , the exertion of f and g has been symbolized as follows. 14,21 ðf M gÞ x 1 ð Þ¼Inf:…”

Section: Snc For Traffic Model Of Underwater U-tdmamentioning

confidence: 99%

See 2 more Smart Citations