Network Selection Using TOPSIS in Vertical Handover Decision Schemes for Heterogeneous Wireless Networks
K.Savitha, DR.C.Chandrasekar

TL;DR
This paper applies the TOPSIS decision-making method to improve vertical handover in heterogeneous wireless networks, aiming to reduce processing delay and enhance service continuity during network transitions.
Contribution
It introduces a TOPSIS-based distributed scheme for vertical handover decision-making, focusing on minimizing delay and optimizing network selection in 4G wireless environments.
Findings
TOPSIS effectively selects the optimal network for handover
The proposed scheme reduces handover processing delay
Improves service continuity in heterogeneous networks
Abstract
"Handover" is one of the techniques used to achieve the service continuity in Fourth generation wireless networks (FGWNs). Seamless continuity is the main goal in fourth generation Wireless networks (FGWNs), when a mobile terminal (MT) is in overlapping area for service continuity Handover mechanism are mainly used While moving in the heterogeneous wireless networks continual connection is the main challenge. Vertical handover is used as a technique to minimize the processing delay in heterogeneous wireless networks this paper, Vertical handover decision schemes are compared and Technique of order preference by similarity to ideal solution (TOPSIS) in a distributed manner. TOPSIS is used to choose the best network from the available Visitor networks (VTs) for the continuous connection by the mobile terminal. In our work we mainly concentrated to the handover decision Phase and to reduce…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIPv6, Mobility, Handover, Networks, Security · Wireless Networks and Protocols · Advanced Wireless Network Optimization
