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

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

doi:10.1002/dac.5118

Cited by 3 publications

(9 citation statements)

References 22 publications

(54 reference statements)

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“…The stochastic network calculus model is not yet developed for underwater data link layer protocols. 20 The comparative study of existing protocols related to data link layer is listed in the Table 2. This proposed model investigates and analysis the performances with stochastic network calculus.…”

Section: Results Analysis and Discussionmentioning

confidence: 99%

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Applying stochastic network calculus to logical link control layer in underwater wireless communication: Underwater fish farming perspective

Saravanan

Sukumaran

2022

Int J Communication

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In recent days, research in underwater fish farming has been seen as a sustainable method to land-based fish farming due to the increasing global population and limitations in land-based farming areas worldwide.The fish farming cage installations are usually operated in the depth area of seawater and are ideal circumstances for fish farming. Monitoring sensor-based data collection from fish farming is highly efficient and more innovative. Due to the unique properties of seawater, the substantial challenge of an Underwater Wireless Sensor Network (UWSN) is guaranteeing reliable data communication between the underwater sensor nodes and surface nodes. To ensure reliable communication, the mathematical approach Stochastic Network Calculus (SNC) is considered for modeling the reliable data flow control in the logical link control layer to satisfy the requirements of the underwater fish farming application. This paper presents the SNC mathematical model construction of stochastic bounds for frame flow, window size, service element analysis, feedback loop analysis, delay, and backlog bounds derived in the proposed model. The proposed model produces the better frame delivery and throughput in an incremental order with respect to the simulation model. There is significant difference (4 to 12 percentage) between the stochastic and simulation model. Thus, the reliable frame flow can be adopted with the dynamic changes in the feedback loop to avoid the overflow by repeated requests.

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Section: Results Analysis and Discussionmentioning

confidence: 99%

“…The deterministic analysis has been done in the following surveyed application. The stochastic network calculus model is not yet developed for underwater data link layer protocols 20 . The comparative study of existing protocols related to data link layer is listed in the Table 2.…”

Section: Related Workmentioning

confidence: 99%

Applying stochastic network calculus to logical link control layer in underwater wireless communication: Underwater fish farming perspective

Saravanan

Sukumaran

2022

Int J Communication

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“…In addition, the coral farm facilities are often located in deep and provide optimal conditions for coral farming. However, physically supervising coral farms is a time-consuming operation for humans [4], [5]. Therefore, coral farming may be more effective and inventive by using remote control, such as a UWAN acoustic communication system to track the growth rate [5].…”

Section: Introductionmentioning

confidence: 99%

“…However, physically supervising coral farms is a time-consuming operation for humans [4], [5]. Therefore, coral farming may be more effective and inventive by using remote control, such as a UWAN acoustic communication system to track the growth rate [5]. The buoy is used to periodical monitoring of coral farming using wireless acoustic communications.…”

Section: Introductionmentioning

confidence: 99%

Underwater Cross Layer Protocol Design for Data Link Layer: Stochastic Network Calculus

Saravanan,

Sukumaran

2023

IJC

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Nowadays, the research in underwater coral farming development is increasing due to the incremental demand for a source of medicines. The coral farms are located in the depth of the seabed and physically monitoring the coral farms is not an easy task in an underwater environment. At the same time, wired communication makes massive deployment and maintenance costs. The terrestrial wireless communication protocols in air and their approaches cannot be directly implemented in underwater communication scenarios as seawater is a highly saline medium. The protocol design in underwater acoustic communication for coral farms is a challenging research domain. This paper proposes the Scheduled Process Cross Layer Medium Access Control (SPCL-MAC) protocol design using stochastic network calculus. The fundamental idea of this protocol is to schedule the handshaking communication during the reserved process cycle and coordinate the process among the physical and network layer in underwater wireless communication. Performance analyses for frame delivery ratio, end-to-end delay, and energy consumption of both transmission and reception are carried out. The proposed mathematical models are also evaluated for its accuracy using discrete event simulation studies.

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“…represents the corresponding code bit, and the decoding formula obtained at this time PHE as shown in(3).…”

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confidence: 99%

Protocol consistency vulnerability detection of UAV wireless communication network in power transmission and transformation project based on improved genetic algorithm

Jiang,

Wang,

Zhuo

et al. 2023

Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023)

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The drone wireless communication network protocol is susceptible to the influence of URL (Unified Resource Locator) encoding conditions, resulting in a low vulnerability detection rate. Therefore, it is necessary to design a new protocol consistency vulnerability detection method for unmanned aerial vehicle wireless communication network based on improved genetic algorithm in power transmission and transformation engineering. A drone wireless communication network consistency vulnerability detection environment was configured, and an improved genetic algorithm was used to generate a protocol consistency vulnerability detection objective function for the wireless communication network. The objective function was solved and consistency vulnerability detection was completed. The experimental results show that this method has a high vulnerability detection rate, good detection effect, reliability, and certain application value in power transmission and transformation engineering.

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

Cited by 3 publications

References 22 publications

Applying stochastic network calculus to logical link control layer in underwater wireless communication: Underwater fish farming perspective

Applying stochastic network calculus to logical link control layer in underwater wireless communication: Underwater fish farming perspective

Underwater Cross Layer Protocol Design for Data Link Layer: Stochastic Network Calculus

Protocol consistency vulnerability detection of UAV wireless communication network in power transmission and transformation project based on improved genetic algorithm

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