Energy Efficient Adaptive LTE Selection Model for Improved QoS Performance in Wireless Networks

Abstract

Presence of LTE (Long Term Evolution) devices in modern networks supports higher QoS achievements. The QoS of any modern network is about achieving higher throughput performance. In this case, number of approaches available, but providing seamless transmission in urban network where there is poor network connectivity is a challenging task. Number of approaches is presented in literature, which involve in handover when there is poor connectivity which works according to the signal strength and other factors. The methods suffer to achieve higher performance in QoS in wireless networks. To handle this issue, an Energy Efficient Adaptive LTE Selection Model (EEA-LTE-SM) is presented in this paper. The proposed method monitors the data rate currently available and identifies the list of LTE available around the corner. At each time stamp, the method computes the value of Data Rate Support (DRS) available. Based on the value of DRS, the method performs LTE selection to maintain the QoS of WSN. For each LTE identified, the method computes Future Data Support (FDS) according to the data rate available, energy, mobility speed. According to the FDS value, the method discovers the list of LTE around the node and selects a optimal LTE to perform further transmission. The proposed method improves the QoS performance of wireless networks.