Improved Vertical Handoff Decision Scheme in Heterogeneous Wireless Network Based on SCS

Naresh, M.; Reddy, D. Venkat; Reddy, K. Ramalinga

doi:10.1007/978-981-10-8681-6_66

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2020

2024

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Cited by 3 publications

(1 citation statement)

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“…Here, mobility managed cross‐layer model of IEEE 802.21 is integrated with various real‐time transport protocols to reduce VH duration. Scatter cuckoo search algorithm was used by Naresh et al ., [22] as an advanced decision‐making scheme for VH management. SCS worked well using delay mitigation and fitness enhancement to achieve better quality of service (QoS).…”

Section: Literature Surveymentioning

confidence: 99%

Multi‐objective emperor penguin handover optimisation for IEEE 802.21 in heterogeneous networks

Naresh¹,

Reddy²,

Reddy³

2020

IET Communications

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Section: Literature Surveymentioning

confidence: 99%

Multi‐objective emperor penguin handover optimisation for IEEE 802.21 in heterogeneous networks

Naresh¹,

Reddy²,

Reddy³

2020

IET Communications

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Vertical handover in heterogeneous networks using WDWWO algorithm with NN

Naresh¹,

Reddy

Reddy³

2021

International Journal of Electronics

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WDWWO Combined NN and Its Application to Handover in Heterogeneous Networks

Muddamalla,

Satyanarayana,

Suresh Varma

2024

Bio-Inspired Intelligence for Smart Decision-Making

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In heterogeneous networks, vertical handover (VH) has a significant impact on networking performance including delay, throughput, and call block probability. VH management involves technique complexity, network modelling challenges, and inaccurate handover despite several prior efforts. This chapter discusses hybrid methodology that aims to provide accurate VH maintaining less complexity. Deep residual neural (DRN) and wind-driven water wave optimisation (WDWWO) are combined to perform VH. To address this situation, the use of DRN is combined with WDWWO for weight optimisation, resulting in optimised DRN (ODRN). ODRN modelling encompasses a wide range of networking parameters, viz., bandwidth, delay, throughput, velocity, BER, SNR, energy consumption, monetary cost, and data traffic. Performance analysis is carried out based on various parameters such as energy consumption, RSS, throughput, packet delivery ratio, packet loss, handover failure rate, algorithm convergence, and latency are compared with D-TOPSIS, FIS-ENN, and F-AHP.

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Improved Vertical Handoff Decision Scheme in Heterogeneous Wireless Network Based on SCS

Cited by 3 publications

References 6 publications

Multi‐objective emperor penguin handover optimisation for IEEE 802.21 in heterogeneous networks

Multi‐objective emperor penguin handover optimisation for IEEE 802.21 in heterogeneous networks

Vertical handover in heterogeneous networks using WDWWO algorithm with NN

WDWWO Combined NN and Its Application to Handover in Heterogeneous Networks

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