Vertical handoff algorithm for different wireless technologies
- Published
- Accepted
- Subject Areas
- Computer Networks and Communications, Mobile and Ubiquitous Computing, Network Science and Online Social Networks
- Keywords
- Vertical handover, Decision algorithm, Handover operation, Mobility management, Performance analysis
- Copyright
- © 2017 Abdullah et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Vertical handoff algorithm for different wireless technologies. PeerJ Preprints 5:e2970v1 https://doi.org/10.7287/peerj.preprints.2970v1
Abstract
Transferring a huge amount of data between different network locations over the network links depends on the heterogeneous wireless network. Such a network consists of several networks with different access technologies. Traditionally, a mobile device may be moved to achieve the operations of vertical handover, considering only one criterion, that is, the received signal strength (RSS). The use of a single criterion may cause service interruption, an unbalanced network load, and an inefficient vertical handover. In this paper, we propose enhanced vertical handover decision algorithm based on multiple criteria in the heterogeneous wireless network. The algorithm consists of three technology interfaces: Long-Term Evolution (LTE), Worldwide interoperability for Microwave Access (WiMAX), and Wireless Local Area Network (WLAN). It also employs three types of the vertical handover decision algorithms: equal priority, mobile priority, and network priority. The simulation results illustrate that the proposed handover decision algorithm outperforms the traditional network decision algorithm in terms of handover number probability and the handover failure probability. In addition, it is noticed that the network priority handover decision algorithm produces better results compared to equal priority and mobile priority handover decision algorithm. Finally, the simulation results are validated by the analytical model.
Author Comment
This is a preprint submission to PeerJ Preprints.