Adopting Stochastic Network Calculus as Mathematical Theory for Performance Analysis of Underwater Wireless Communication Networks

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

doi:10.1109/iccmc48092.2020.iccmc-000082

Cited by 6 publications

(1 citation statement)

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“…Also, some of the stochastic models which are already available only focused on the analysis of channel characteristics of UWSN. Analytical models for network layer operations are important 9 for analyzing the dynamic behavior of underwater communication. So to fill this gap, the stochastic model is proposed for accessing the performance of DBR.…”

Section: Network Layer Design For Underwater Agriculture Farmingmentioning

confidence: 99%

Network layer communication protocol design for underwater agriculture farming

Manikandan

Sukumaran

Radhakrishnan

et al. 2022

Int J Communication

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Summary In recent times, underwater agriculture farming is seen as a viable alternative to land‐based farming by agricultural scientists due to increasing limitations in land‐based farming areas around the world. But farming underwater is not as easy as it is said. Continuous monitoring of different parameters of the water inside the biosphere where the herbs, crops, and plants are cultivated is one of the highest priorities for the effective outcome in underwater farming. To achieve such precise monitoring, sensor‐based data collection from the underwater biosphere is the only way. Employing human divers for monitoring of water parameters has many limitations such as diving time, accidents due to harsh underwater environment. Alternatively, adopting sensor‐based monitoring provides spatial and temporal flexibility. But one of the significant challenges of such an underwater wireless sensor network (UWSN) is ensuring reliable communication between the underwater sensors and surface station. To ensure reliable delivery of sensed information network layer operation is vital. The underwater environment has unique challenges such as high interference, harsh environment, limited lifetime, and short network lifetime the network layer protocols of terrestrial networks can't be adopted into the underwater environment. So this research focuses on the development of a mathematical model for network layer communication using stochastic network calculus (SNC) taking into consideration the requirements of underwater agriculture farming application. In this research, the delay and backlog bounds of the proposed model are derived. The proposed mathematical model is also evaluated for its correctness using the discrete event simulation.

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Section: Network Layer Design For Underwater Agriculture Farmingmentioning

confidence: 99%