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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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An Efficient and Reliable Algorithm for Wireless Sensor Network.

Faheem Khan1, Shabir Ahmad1, Hüseyin Gürüler2

  • 1Department of Computer Engineering, Gachon University, Seongnam 13120, Korea.

Sensors (Basel, Switzerland)
|December 28, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new protocol for wireless sensor networks (WSN) that reduces overhead by using unicasting and multicasting. This approach enhances network efficiency and prolongs node and battery life by avoiding energy-intensive flooding.

Keywords:
floodingmulticastingns-2sensor networksunicasting

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Flooding in wireless sensor networks (WSN) enhances packet transmission reliability but incurs significant overhead.
  • This overhead rapidly depletes network resources, impacting node, network, and battery lifetimes, particularly in mobile ad-hoc and vehicular networks.

Purpose of the Study:

  • To develop an efficient and reliable protocol for WSNs that mitigates the high overhead associated with flooding.
  • To improve network efficiency, energy conservation, and throughput.

Main Methods:

  • Implemented a hybrid protocol combining unicasting for short-distance transmissions and multicasting for long-distance transmissions.
  • Evaluated the protocol's performance using Network Simulator-2 (NS-2) and practical implementation at Bacha Khan University Charsadda (BKUC).

Main Results:

  • The proposed protocol demonstrated improved performance compared to benchmark schemes like PUMA and ERASCA.
  • Key performance metrics such as overhead, throughput, and packet delivery fraction were significantly enhanced.

Conclusions:

  • The hybrid unicasting and multicasting approach effectively reduces flooding overhead in WSNs.
  • This strategy leads to substantial improvements in network efficiency, reliability, and overall performance, conserving critical resources.