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Energy Efficient Static Node Selection in Underwater Acoustic Wireless Sensor Network

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Abstract

Energy is the significant limitation in underwater sensor arrangement. In Underwater sensor organization, the sink node uses high energy in charge of sending information from nodes that are more remote away. The battery depleted in a brief span. The suggested technique productively diminishes the energy utilization in Mobicast steering convention in Underwater Sensor Networks (USN). Underwater Sensor Network is broadly utilized for checking and assembling information in a self-sufficient form. Since sensors are little and power obliged gadgets, it is the most vital to reduce the energy utilization. The autonomous Underwater vehicle (AUV) goes along a way that has been characterized by the client to bring the detecting information from a Underwater sensor node. The Mobicast Routing Protocol for Underwater Sensor Networks is utilized to manage the cost of a spatiotemporal answer for the Underwater Sensor Networks and furthermore it gives an effective information gathering and a energy sparing directing convention for the USN. The researchers suggest Node Degree Algorithm for improving life span of varied Under Water Sensor systems with Time Differential on Arrival (TDOA), the TDOA saves the energy use of sensor nodes. A considerable measure of particularly, TDOA decreases energy utilization and will expand network life time, as contrasted and existing calculations. To discover mobility the GaussMarkov versatility model is utilized. The suggested techniques utilize a static sensor node which gathers the accumulated information from different nodes in its Zone of Reference (ZOR) area and send this gathered information to AUV while it enters 3-D ZOR, in this way lessening the energy utilized for transmission. Once the static node losses the energy in the bunch another node in the ZOR group which has high energy with fewer portability as well as higher node degree would be selected as a static node. Simulation results and data analysis shows the performance of proposed protocol is more efficient in terms of overall performance as compared to other existing routing protocols for Underwater Wireless Sensor Networks and it was simulated in NS2 simulation software environment. This research achieves to minimize power consumption, response time and avoid overload finally it increases the throughput and Network lifetime.

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Acknowledgements

We are thankful to the management of Sathyabama Institute of Science and Technology for providing us all the necessary facilities required for this research work.

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Authors and Affiliations

  1. Department of IT, School of Computing, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

    R. M. Gomathi

  2. Department of ECE, St. Joseph’s College of Engineering, Chennai, Tamil Nadu, India

    J. Martin Leo Manickam

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  1. R. M. Gomathi
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  2. J. Martin Leo Manickam
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Correspondence to R. M. Gomathi.

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Gomathi, R.M., Manickam, J.M.L. Energy Efficient Static Node Selection in Underwater Acoustic Wireless Sensor Network. Wireless Pers Commun 107, 709–727 (2019). https://doi.org/10.1007/s11277-019-06277-2

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  • DOI: https://doi.org/10.1007/s11277-019-06277-2

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