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The Journal of Supercomputing

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24-03-2021

EDVWDD: Event-Driven Virtual Wheel-based Data Dissemination for Mobile Sink-Enabled Wireless Sensor Networks

Authors: Shubhra Jain, K. K. Pattanaik, Rahul Kumar Verma, Anupam Shukla

Published in: The Journal of Supercomputing | Issue 10/2021

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Abstract

Despite the several advantages of mobile sink-enabled wireless sensor networks, the data dissemination to mobile sink is challenging for resource-constrained sensor nodes due to sink mobility. Sensor nodes need to be aware of current location of the mobile sink to successfully transmit their data. However, network-wide updation of mobile sink’s location would cause high communication overhead and undermine the energy conservation goal. In this paper, we propose an event-driven virtual wheel-based data dissemination (EDVWDD) scheme that constructs multiple wheels in the sensor field with the aim of reducing the cost of updating the mobile sink location. Furthermore, EDVWDD provides easy-accessibility of wheel to each sensor node in order to reduce the delay while transmitting the data to mobile sink. Simulation results reveal improved performance of EDVWDD in terms of energy consumption, and data delivery delay as compared to state-of-the-art mechanisms at varying node density and sink speed.

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Title: EDVWDD: Event-Driven Virtual Wheel-based Data Dissemination for Mobile Sink-Enabled Wireless Sensor Networks
Authors: Shubhra Jain
K. K. Pattanaik
Rahul Kumar Verma
Anupam Shukla
Publication date: 24-03-2021
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 10/2021
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-021-03714-7

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