Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

Storage Capabilities in Underwater Wireless Sensor Networks for Energy Balancing and Channel Alignment

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  • @INPROCEEDINGS{10.4108/eai.7-6-2021.2308763,
        author={K  Sureshkumar and Murugananth Gopal Raj and M  Selvi and D  Karunkuzhali and B  Meenakshi},
        title={Storage Capabilities in Underwater Wireless Sensor Networks for Energy Balancing and Channel Alignment},
        proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India},
        publisher={EAI},
        proceedings_a={I3CAC},
        year={2021},
        month={6},
        keywords={underwater sensor node storage capacity bayesian network energy cost},
        doi={10.4108/eai.7-6-2021.2308763}
    }
    
  • K Sureshkumar
    Murugananth Gopal Raj
    M Selvi
    D Karunkuzhali
    B Meenakshi
    Year: 2021
    Storage Capabilities in Underwater Wireless Sensor Networks for Energy Balancing and Channel Alignment
    I3CAC
    EAI
    DOI: 10.4108/eai.7-6-2021.2308763
K Sureshkumar1,*, Murugananth Gopal Raj2, M Selvi3, D Karunkuzhali4, B Meenakshi5
  • 1: Assistant Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India
  • 2: Professor & Head, Department of Electrical and Electronics Engineering, Ahalia School of Engineering and Technology, Palakkad, Kerala, India
  • 3: Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India
  • 4: Professor, Department of Information Technology, Panimalar Engineering College, Chennai, Tamilnadu, India
  • 5: Professor, Department of Electrical and Electronics Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India.
*Contact email: m.k.sureshkumar@kluniversity.in

Abstract

Underwater sensor node overflow occurs when large amount of sensory data is already stored and it is unavailable to obtain new data when an event happens. This misalignment tends to partitioning of individual node from networks in reporting information to sink. Resilience of individual node to recover from overflow considering channel and storage capabilities is needed. This work tries to avoid unnecessary transmission of the overloaded node. The contemporaneous work of storage and transmission is stated to improve energy efficiency in the desired work using DBR Bayesian network. Two slice Bayesian network is constructed for every node for calculating conditional probability distribution to resurrect links. Number of transmission is being improved considering the facilitation of nodes storage and transit duration reducing the overall energy consumption of a node by constraining unnecessary transmissions.