Vertical Handoff in Heterogeneous Wireless Mobile Networks

Hebbi, Chandravva; Saboji, Shivakumar V.

doi:10.1109/netcom.2009.52

Cited by 4 publications

(2 citation statements)

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“…Different handover algorithms based on signal strength, interface type, cost, and different thresholds have already been defined. Hebbi and Saboji (2009) proposed a VHO algorithm based on the SMD's movement speed among heterogeneous wireless networks. Kumar and Tyagi (2010), implemented the media-independent handover between WLAN and UMTS using IEEE 802.21 events.…”

Section: Related Literature Reviewmentioning

confidence: 99%

An integrated-multi-RAT framework for multipath-computing in heterogeneous-wireless network

Kumar

Tyagi

2021

Journal of Information and Telecommunication

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The bandwidth-intensive applications on Smart-Mobile-Devices (SMDs) are increasing with SMD's colossal growth. The overlapped cellular and non-cellular networks, in hot-spot-places, and SMDs capabilities are significant reasons for this growth. SMD's interfaces-RAT (Radio-Access-Technology) can have complementary link characteristics. The end-users can avail always-best-connectivity (ABC) on their SMDs with complementary RAT characteristics. This paper proposes an Integrated-multi-RAT-utilization (Im-Ru) framework for multipathcomputing support to realize ABC for the end-users. The Im-Ru framework has two approaches. The First is a hybrid-RATdiscovery model based on SMD's interfaces, current-location, and identification using ANDSF and MIIS servers. The second is the user's preference-based RAT-selection using weighted-RATparameters. We observe that the Im-Ru framework for multipathcomputing is useful in future 5G-NR networks. We analyzed the Im-Ru's performance related to average-throughput improvement over the existing approaches for SMD's different speeds and observed a significant improvement. The experimental results show that Im-Ru is more reliable by realizing lower packet-loss and delay than existing work.

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Section: Related Literature Reviewmentioning

confidence: 99%

An integrated-multi-RAT framework for multipath-computing in heterogeneous-wireless network

Kumar

Tyagi

2021

Journal of Information and Telecommunication

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“…Load balance is also essential as unbalanced load may cause congestion in one network while excess network resources in other networks are unused [28]. By creating a balanced network, more mobile users may be served and the network will have a higher throughput and lower packet delay [29].…”

Section: Multicriteria Vertical Handover Decision Algorithmmentioning

confidence: 99%

Vertical Handover Decision Algorithm Using Multicriteria Metrics in Heterogeneous Wireless Network

Mahardhika

Ismail

Nordin

2015

Journal of Computer Networks and Communications

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Heterogeneous network concept was introduced to satisfy the demands of network’s traffic capacity and data rate. It consists of multiplatform networks with various radio access technologies. Conventionally, a mobile user may roam and accomplish the vertical handover using single criteria, such as received signal strength (RSS). Single criteria vertical handover decision, however, may cause inefficient handoff, unbalanced network load, and service interruption. This paper proposed an improved vertical handover decision using multicriteria metrics in the environment of heterogeneous network consisting of three network interfaces: (i) wireless local area network (WLAN), (ii) wideband code division multiple access (WCDMA), and (iii) worldwide interoperability for microwave access (WiMAX). In the vertical handover decision, four metrics are considered: (i) RSS, (ii) mobile speed, (iii) traffic class, and (iv) network occupancy. There are three types of the vertical handover decision algorithm: (i) equal priority, (ii) mobile priority, and (iii) network priority. Equal priority multicriteria handover algorithm improved the number of handoffs by 46.60 while mobile priority multicriteria algorithm improved the number of handoffs by 90.41% and improved the balance index by 0.09%. Network priority multicriteria method improved the number of handoffs by 84.60%, balance index by 18.03%, and average blocking probability by 20.23%.

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