Abstract
In recent years, modern technology has been increasing, and this has grown a derivate in big challenges related to the network and application infrastructures. New devices have been providing more high functionalities to users than ever before; however, these devices depend on a high functionality of network in order to ensure a correct functioning ability over applications. This is essential for mobile networking systems to evolve in order to meet the future requirements of capacity, coverage, and data rate. In addition, when a network problem happens, it could be converted into somethingmore disastrous and difficult to solve. A crucial point is the network physical change and the difficulties, such as loss continuity of services and the decision to select the future network to be connected. In this article, a new framework is proposed to forecast a future network to be connected through a mobile node in WLAN environments. The proposed framework considers a decision-making process based on five classifiers and the user’s position and acceleration data in order to anticipate the network change, reaching up to 96.75% accuracy in predicting the connection of this future network. In this way, an early change of network is obtained without packet and time loss during the network change.
Highlights
Mobile devices have acquired greater capacity for computing, storage, and connectivity to heterogeneous networks
The data that was correctly classified is very close to the access point to which it belonged
This section describes the discussion of handover decision, whichis divided into p6a. rDtsis:c(uAss)ioTnhe mobility forecast part, in which usually the articles consulted use te niqueTshifsosreectsitoinmdaetsicnrgibeths ethpeodsisitciuosnsioonf oafShLan, daonvder(Bd)ecTishioenp, warhticohfiscldaisvsiidfeicdaitnitoontwteochnique dpeatretsr:m(Ain) eThwe hmiocbhilcithyafroarecctaesrtisptaircts, ibnewlohnicghtuosuaaclllyasthse. articles consulted use techniques for esWtimitahtinrgegthaerpdostoitiomnoobf ailSitLy, apnrdo(gBn) oThsiesp, atrhteoftcelcashsnifiiqcautieosn utescehdniqinuesthtoisdethteermsisineare Kalm fwiltheicrh(KchFa)r,apctaerrtisictilces fbieltloenrg(PtoFa),calansds. artificial neural networks (ANN)
Summary
Mobile devices have acquired greater capacity for computing, storage, and connectivity to heterogeneous networks. A critical point of mobility is the network physical change, and the problems inherent to the loss of continuity of services, as well as the decision to change, that is, select the future network to be connected [1]. The handover or handoff in IP networks is the physical transition from one network to another. The handover is typified by two types of transition: (A) horizontal handover and (B) vertical handover [2]. When a mobile node (MN) changes network in the same technology, it performs a horizontal handoff. If the change of network is to a different kind of technology, it is called a vertical handoff
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
