Prediction of the Movement of Nodes and Evaluating the Impact of Mobility Model in Underwater Sensor Network for Aquaculture Application

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Underwater sensor networks are designed to measure various water parameters related to aquaculture applications. To monitor water parameters, deployment of underwater sensor plays an important role since it can improve the capability of investigating the water environment. In this paper a mobility model is developed that considers physical movements of underwater sensor nodes with respect to water currents. Optimal placement of sensor nodes to monitor water parameters for aquaculture application is described. Prediction of sensor node movement and impact of proposed mobility model on routing the measured water parameter data is studied. The model also describes the effects on networking protocol, and its impact on the coverage and connectivity of the network under deployment scenarios.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages753-757
Number of pages5
ISBN (Electronic)9781538628423
DOIs
Publication statusPublished - 07-03-2019
Event2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018 - Madurai, India
Duration: 14-06-201815-06-2018

Publication series

NameProceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018

Conference

Conference2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018
Country/TerritoryIndia
CityMadurai
Period14-06-1815-06-18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Control and Optimization

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