A Seamless Handover Solution for Multi-Access Edge Computing Servers Distributed at the Network Edge Using Metrics Optimization

<p dir="ltr">Multi-access edge computing (MEC) is critical for delivering ultra-low latency services in mobile edge networks, where frequent handovers may degrade service quality or disrupt service continuity. This work validates the Server Search and Selection Algorithm (SSSA), a multi-metric handover strategy designed to optimize server transitions under dynamic edge conditions. It builds on our earlier work, which introduced the SSSA model and its integration into the SSSAP protocol for MEC environments. Here, we extend that foundation through detailed discrete-event network simulations conducted over ten independent runs, capturing key performance metrics, including latency, throughput, packet delivery ratio, and signal strength. The SSSA outcomes presented in this paper consistently maintain below 10-ms latency and robust throughput, under random mobility and frequent handovers. Unlike traditional Received Signal Strength or fixed-threshold schemes, SSSA applies a dynamic scoring mechanism that considers server load, signal conditions, and path quality in real-time. These findings confirm SSSA’s practical suitability for real-time MEC deployments, offering a scalable and low-disruption alternative to legacy handover mechanisms.</p>