Device and Method for Vertical Handover Management in Multimedia-Based Heterogeneous Wireless Networks

Vertical Handover in Heterogeneous Wireless Networks Based on Application-Specific Data Rate Triggering and Artificial Bee Colony Optimization

This technology is a vertical handover management device that determines whether to initiate a handover based on the data rate required by running applications. It selects the optimal network by evaluating end-to-end latency, jitter, bit error rate, and packet loss rate received from an MIIS server using an optimization algorithm.

Mobile nodes such as smartphones are equipped with multiple heterogeneous network interfaces like Wi-Fi and cellular, but existing methods have failed to adequately reflect the actual requirements of running multimedia applications. This leads to unnecessarily frequent or failed handovers and long delays in selecting a target network.

This technology sets a threshold based on the sum of the minimum required data rates of running applications, adjusts the inspection cycle, and uses the Artificial Bee Colony (ABC) algorithm to select the network with the minimum fitness function. This reduces target network selection time and ensures handovers occur only at appropriate times. It can be applied to multi-radio access management for smartphones, vehicle communication terminals, and IoT gateways, maintaining seamless mobility during video calls or streaming.

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Key Features:

• A handover triggering module that determines whether to initiate a handover based on the data rate required by running applications
• A threshold calculation unit that calculates the sum of the minimum required data rates of all running applications as a first threshold
• An inspection time adjustment unit that reduces or increases the data rate inspection time by comparing the required data rate with a second threshold
• A network selection module that constructs a fitness function using end-to-end latency, jitter, bit error rate, and packet loss rate from an MIIS server and selects the optimal network using the Artificial Bee Colony algorithm

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