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Related Experiment Videos

A double herd krill based algorithm for location area optimization in mobile wireless cellular network.

F Vincylloyd1, B Anand2

  • 1RVS Technical Campus, Coimbatore 641 402, India.

Thescientificworldjournal
|April 17, 2015
PubMed
Summary

This study introduces a novel hybrid method using a krill herd algorithm to optimize location areas (LA) in wireless networks. The approach minimizes total network costs for location updating (LU) and paging without compromising performance.

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Area of Science:

  • Wireless Communication Systems
  • Network Optimization
  • Mobile Computing

Background:

  • Mobility tracking in wireless systems relies on location updating (LU) and paging.
  • Optimizing location areas (LA) is crucial for efficient network operation and cost management.

Purpose of the Study:

  • To present a novel hybrid method for optimizing location area (LA) design.
  • To minimize total network costs, including location update (LU) and paging costs.
  • To achieve this optimization without compromising network performance.

Main Methods:

  • A krill herd algorithm is employed as a hybrid method for optimization.
  • The design of the location area (LA) is formulated as a combinatorial optimization problem.
  • Consideration is given to diverse user mobility patterns and network architectures.

Main Results:

  • The proposed model optimizes location area (LA) boundaries more accurately in real environments compared to hexagonal cell configurations.
  • Numerical results demonstrate the effectiveness of the krill herd algorithm in this optimization task.
  • The model balances processing load from location updates and radio bandwidth for paging.

Conclusions:

  • The novel hybrid method effectively optimizes location area (LA) design in wireless networks.
  • The krill herd algorithm provides a superior approach for minimizing network costs.
  • The model enhances the balance between location update processing and paging bandwidth utilization.