COMPARATIVE ANALYSIS OF M-IPV4 AND M-IPV6 FOR IMPROVED HANDOFF PERFORMANCE USING FUZZY LOGIC-BASED ACCESS POINT SELECTION

Abstract

The increased demand of continuous connectivity in mobile communication systems driven by latency sensitive procedures that include Voice over IP (VoIP), video streaming and online games, has demonstrated the need of complex mobility management protocols. Since the handoff process is critical to continuity as mobile devices pass between wireless networks, it often causes discernible errors, especially delays, loss of packets, and poor transmission rates. The current research shows the contrast between Mobile IPv4 (M-IPv4) and Mobile IPv6 (M-IPv6) in a multi-parametric fuzzy decision-making model to suggest the best AP to choose to perform handoffs in terms of latency and service rate. With the introduction of network variables such as signal strength, latency, available bandwidth and jitter, the fuzzy logic formulation aims at halting handoff induced disturbance and increasing Quality of Service (QoS). The results show that with the intelligent decisions of M-IPv6, it will one-up M-IPv4 in circumventing such problems and thus providing more constant and dependable connections. This relative merit of M-IPv6 compared with jitter, throughput, packet losses, and end-to-end duration in 5G networks is supported by the simulation results produced in Python Colab. The outcomes highlight the high necessity of implementing high-level mobility management mechanisms in ensuring a smooth transition of services in the current and future wireless communication networks.