English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper mainly discusses a vertical handoff algorithm based on differential pre-decision and DFT (Discrete Fourier Transform)-based trend detection method in heterogeneous power networks. We have employed Fourier Transform based signal trend detection to detect the unavailability and the decay of the WLAN signal. Then, we propose the differential prediction algorithm that has sufficiently accurate of the further RSS prediction to determine whether to switch to the new WLAN. Finally, we apply the MATLAB software to gain the simulated analysis based on this algorithm. Simulation results demonstrate the proposed algorithm can significantly reduce the impact of the ping-pong effect. Introduction In recent years, with the rapid development of mobile communication systems, wireless Internet consist of different types of wireless networks. What’s more, with the great application of the power acquisition system, especially the gradual promotion of the "multi-meter integration" project, the acquisition system can not only satisfy the acquisition of electricity information data, but also constitute a multi-source data fusion management system. Given various communication techniques including 4G, GPRS, CDMA, RF, Lora, Ethernet, and PLC, the next generation communication system would be an open heterogeneous network which can organically combine existing and future access systems. However, different access networks differ in coverage, user experience and service type, how to ensure the mobile users to move freely across heterogeneous networks with needed quality-of-service (QoS) requirement, has become one of the research hotspots in academia [1]. There has been several works focusing on vertical handoff decision algorithm. In [2], Gustafsson et al. proposed the “always best connected (ABC)” concept that offered connectivity over multipleaccess technologies to enhance user experience. This work provided the framework of ABC; but mobility management was not discussed. In Ref [3,4], by using Fuzzy Inference System (FIS) or neural network for processing to calculate the sample values of network parameters to describe the vertical handoff decision. Simple weighting method (SAW) and close to the ideal solution for ordinal preference methods (TOPSIS) are proved and proposed [5]. In [6], a neural network-based approach was proposed to detect the received signal decay and make handoff decision. Because of the complicated neural network topology, the above algorithm is difficult to implement in practice. In this paper propose a vertical handoff algorithm based on differential pre-decision and DFT-based trend detection method in heterogeneous power networks. We employed the Fourier Transform based approach to detect the signal trend. We use the forward differential prediction method to carry out the decision by predicting the next time received signal strength of the network. The main contribution of this paper is significantly reducing the impact of the ping-pong effect. The paper is organized as follows: in Section 2 we introduce the signal trend detection method. The Differential Prediction Algorithm presented in Section 3. Evaluation of the proposed method using simulations is explained in section Section 4. Section 5 ends this paper with a summary.

A Vertical Handoff Algorithm Based on DFT-based Trend Detection and Differential Pre-Decision Method