Aparna Sasidharan’s research while affiliated with Birla Institute of Technology and Science, Pilani and other places

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Publications (2)


Fig 1: N-Tier Architecture with the projection of a single grid 
A Location-Based Clustering Algorithm for Data Gathering in 3D Underwater Wireless Sensor Networks
  • Conference Paper
  • Full-text available

September 2008

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826 Reads

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66 Citations

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Aparna Sasidharan

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Supriya Vadlamani

Wireless sensor networks, whether terrestrial or underwater, usually contain hundreds or in some cases thousands of micro-sensor nodes, that are randomly and densely deployed. In this paper we propose a clustering algorithm based on the geographical location of the sensor nodes for a 3-D hierarchical network architecture called LCAD. An energy model has been proposed and used to analyze the performance of the algorithm.

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Multi-parameter ocean monitoring system using Underwater Wireless Sensor Networks

March 2008

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103 Reads

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2 Citations

The deployment of sensor networks in an aquatic environment has been severely limited because of the unpredictable nature of the underwater environment. Building a low-cost, energy and resource efficient Underwater Wireless Sensor Network (UWSN) will open new vistas in the areas of ocean, river and lake monitoring and exploration. In this paper we present a novel architecture for a hypothetical UWSN that could be deployed in the Bay-of-Bengal. This UWSN is an N-tier model with sensor nodes deployed at varying depths along the ocean column. The network can be re-configured based on the deployment scenario and the application. This paper also discusses various issues involved in developing a cross-layer protocol for the architecture proposed.

Citations (2)


... Underwater sensor networks have a wide variety of applications in real world. They can be used in Ocean Sampling Networks, Pollution, chemical, biological, environmental Monitoring, alerting swimmers about dangerous bacteria levels, disaster prevention, assisted navigation, distributed tactical surveillance, mine reconnaissance, etc [1]. ...

Reference:

A new Algorithm Based on Discrete Fourier Transform to Improve the Lifetime of Underwater Wireless Sensor Networks Communications
Multi-parameter ocean monitoring system using Underwater Wireless Sensor Networks
  • Citing Article
  • March 2008

... 10,11 In fact, our proposed algorithm improves the energy efficiency for accurate localization as well as efficient clustering of sensor nodes. 12,13 Due to the severe hostile underwater conditions such as multipath fading, attenuation, noise, salinity, and the presence of marine life, the radio signals are absorbed and attenuated underwater as compared to that of acoustic waves. 9,14 In order to localize the randomly deployed sensor nodes in the hostile underwater environment. ...

A Location-Based Clustering Algorithm for Data Gathering in 3D Underwater Wireless Sensor Networks