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A Semantic and Knowledge-Based Approach for Handover Management.

Fulvio Yesid Vivas1, Oscar Mauricio Caicedo1, Juan Carlos Nieves2

  • 1Departamento de Telemática, Universidad del Cauca, Popayán, Cauca 190002, Colombia.

Sensors (Basel, Switzerland)
|July 2, 2021
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Summary

SIM-Know enhances wireless handover management (HM) by using a Semantic Information Model (SIM) for context-aware decisions. It improves performance, especially at high speeds, by reducing handovers and packet loss.

Keywords:
handover managementknowledge base profilesemantic information modelwireless networks

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Area of Science:

  • Wireless Communications
  • Network Engineering
  • Computer Science

Background:

  • Current handover management (HM) methods often rely on single criteria, leading to suboptimal decisions and network performance issues.
  • Multicriteria HM approaches can also fail, causing throughput degradation and increased packet loss.
  • Effective HM is crucial for service continuity, reliability, low latency, and high data rates in wireless networks.

Purpose of the Study:

  • To propose SIM-Know, an improved approach for handover management in wireless communications.
  • To enable context-aware and proactive handover decisions using a Semantic Information Model (SIM) and a distributed Knowledge Base Profile (KBP).
  • To evaluate the performance of SIM-Know against existing methods in an emulated wireless network.

Main Methods:

  • Developed SIM-Know, incorporating a Semantic Information Model (SIM) for intelligent handover decision-making.
  • Implemented a SIM-based distributed Knowledge Base Profile (KBP) for enhanced network intelligence.
  • Evaluated SIM-Know in an emulated wireless network, comparing it with Signal Strong First (SSF) and AHP-TOPSIS.

Main Results:

  • At low and moderate speeds, SIM-Know showed comparable performance to AHP-TOPSIS in handovers and throughput drops, outperforming SSF.
  • SSF had lower handover latency due to its simpler process.
  • At high speeds, SIM-Know significantly outperformed SSF and AHP-TOPSIS in reducing handovers, improving throughput, delay, jitter, and packet loss.

Conclusions:

  • SIM-Know offers a practical and effective solution for cognitive handover management.
  • The approach demonstrates significant advantages, particularly in high-speed mobile scenarios.
  • Context-aware, multicriteria decisions enabled by SIM-Know enhance overall wireless network performance.