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A Novel Approach for Improving XML Querying over Wireless Broadcast Channels.

Vinay Kumar Ahlawat1, Gaurav Agarwal1, Vikas Goel2

  • 1Department of CSE, Invertis University, Bareilly 243123, India.

Sensors (Basel, Switzerland)
|November 27, 2024
PubMed
Summary

This study introduces an improved scheme for querying large XML data on wireless broadcast channels, significantly reducing access times. The approach optimizes bandwidth, latency, and energy efficiency for mobile data access.

Keywords:
XMLaccess timecachingload balancingpartitioningquery routingqueryingresult aggregationwireless broadcast channels

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Area of Science:

  • Computer Science
  • Wireless Communication
  • Database Management

Background:

  • Querying large XML data over wireless broadcast channels presents challenges including high latency, bandwidth limitations, and inefficient energy consumption.
  • Existing methods struggle to balance these competing demands effectively.
  • Optimizing data retrieval in mobile environments is crucial for efficient information access.

Purpose of the Study:

  • To propose and evaluate a novel scheme for enhancing XML data querying over wireless broadcast channels.
  • To address and mitigate issues of bandwidth utilization, latency, and energy inefficiency.
  • To improve the overall performance of XML data access in wireless environments.

Main Methods:

  • A scheme combining data partitioning, load balancing, and query routing was developed.
  • XML data streams are partitioned based on size, type, or content.
  • A query routing mechanism directs requests to appropriate channels holding relevant data partitions.

Main Results:

  • The proposed scheme demonstrated a considerable reduction in access time compared to existing methods.
  • Simulations and evaluations confirmed the effectiveness of the integrated approach.
  • Performance metrics indicate significant improvements in efficiency.

Conclusions:

  • The developed scheme effectively optimizes XML querying over wireless broadcast channels.
  • The integration of partitioning, load balancing, and query routing addresses key performance bottlenecks.
  • This approach offers a viable solution for efficient data access in mobile computing scenarios.