Abstract
The rapid increase in the usage of the mobile internet has led to a great expansion of cellular data networks in order to provide better quality of service. However, the cost to expand the cellular network is high. One of the solutions to provide affordable wireless connectivity is the deployment of a WiFi access point to offload users’ data usage. Nevertheless, the frequent and inefficient handover process between the WiFi AP and cellular network, especially when the mobile device is on the go, may degrade the network performance. Mobile devices do not have the intelligence to select the optimal network to enhance the quality of service (QoS). This paper presents an enhanced handover mechanism using mobility prediction (eHMP) to assist mobile devices in the handover process so that users can experience seamless connectivity. eHMP is tested in two wireless architectures, homogeneous and heterogeneous networks. The network performance significantly improved when eHMP is used in a homogeneous network, where the network throughput increases by 106% and the rate of retransmission decreases by 85%. When eHMP is used in a heterogeneous network, the network throughput increases by 55% and the retransmission rate decreases by 75%. The findings presented in this paper reveal that mobility prediction coupled with the multipath protocol can improve the QoS for mobile devices. These results will contribute to a better understanding of how the network service provider can offload traffic to the WiFi network without experiencing performance degradation.
Highlights
The growth in mobile and wireless networks has disrupted the way that networks were designed
The increase in the average throughput by 1098% is because the mobile device that is using EOPAPS is still connected to WiFi 2 even when the received signal strength indicator (RSSI) is low, whereas enhanced handover mechanism using mobility prediction (eHMP) predicted that the mobile device is moving towards WiFi 3 coverage, triggering the handover process to WiFi 3 before the signal degrades further
The reason is that there is a blind spot for the WiFi access point (AP), where EOPAPS yields an average of 0.04 MBps throughput, while eHMP yields 0.14 MBps
Summary
The growth in mobile and wireless networks has disrupted the way that networks were designed. The device will select a network based on the RSSI because it is the simplest measurement even when the throughput is not optimal This approach often causes data service session interruption and decreases users’ experience. This protocol discovers the number of available paths available to users, establishes the paths and distributes traffic across these paths through creation of separate subflows based on the lowest RTT and unfilled congestion window This approach in determining the best performing network interface by only considering the RTT may not be able to meet the requirement of the necessary high bandwidth, as the outgoing TCP request client packet is Enhanced handover mechanism using mobility prediction in wireless networks lightweight compared to the real packet containing content.
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