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Related Concept Videos

Errors in Global Positioning System01:26

Errors in Global Positioning System

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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Updated: May 29, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Secure and energy-efficient inter- and intra-cluster optimization scheme for smart cities using UAV-assisted wireless

Niayesh Gharaei1, Aliaa M Alabdali2

  • 1Department of Computer Engineering, Faculty of Engineering, OSTİM Technical University, Ankara, Turkey. niayesh.gharaei@ostimteknik.edu.tr.

Scientific Reports
|February 5, 2025
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Summary

This study introduces a secure framework for wireless sensor networks (WSNs) using wireless mobile energy transmitters (WMETs) and UAVs. It optimizes energy balance and data security, significantly extending network lifetime and coverage.

Keywords:
ClusterClusteringEnergySecuritySmart green applicationsWireless rechargeable sensor network

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) face challenges in continuous operation and balanced energy consumption.
  • Existing wireless mobile energy transmitters (WMETs) and clustering methods often fail to optimize charging locations and energy balancing.
  • Security vulnerabilities, like inadequate data encryption, compromise WSN integrity.

Purpose of the Study:

  • To propose a novel secure and energy-efficient inter- and intra-cluster optimization scheme (SEI2) for WSNs.
  • To address limitations in WMET charging optimization and clustering energy balancing.
  • To enhance data security through robust encryption mechanisms.

Main Methods:

  • Implemented a WMET-based framework utilizing Unmanned Aerial Vehicles (UAVs) for dynamic sensor node recharging.
  • Optimized WMET charging locations within clusters to maximize energy efficiency.
  • Applied robust data encryption at cluster head (CH) and base station (BS) levels.

Main Results:

  • Achieved a 35% improvement in network lifetime.
  • Reduced compromised data packets by 19%.
  • Enhanced coverage time by 15% and minimized energy variance by 62% for CHs and 88% for MNs.

Conclusions:

  • The SEI2 scheme offers a comprehensive solution for extending WSN lifetimes, improving energy efficiency, and strengthening data security.
  • The framework is particularly suitable for demanding applications like smart city deployments.
  • Optimized charging and robust security are crucial for advanced WSN performance.