An Optimized Network Selection and Handover Triggering Scheme for Heterogeneous Self-Organized Wireless Networks

Khan, Murad; Han, Kijun

doi:10.1155/2014/173068

Cited by 33 publications

(19 citation statements)

References 29 publications

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“…The application of WLAN is restricted to static or pedestrian navigation environment [27]. For example, authors in [21,[28][29][30] predefined the speed threshold for WLAN at 10m/s and below (depending on the radius of WLAN). In addition, Fuzzy MADM based handover algorithm presented by [25] and [31] set the fuzzy if-else rule, "if MT velocity is low then the probability of rejecting WLAN is low; else the probability of rejecting WLAN is high".…”

Section: Vertical Handover In Heterogeneous Networkmentioning

confidence: 99%

A Vertical Handover Management for Mobile Telemedicine System using Heterogeneous Wireless Networks

Yew¹,

Supriyanto²,

Satria³

et al. 2016

ijacsa

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Abstract-Application of existing mobile telemedicine system is restricted by the imperfection of network coverage, network capacity, and mobility. In this paper, a novel telemedicine based handover decision making (THODM) algorithm is proposed for mobile telemedicine system using heterogeneous wireless networks. The proposed algorithm select the best network based on the services requirement to ensure the connected or targeted network candidate has sufficient capacity for supporting the telemedicine services. The simulation results show that the proposed algorithm minimizes the number of unnecessary handover to WLAN in high speed environment. The throughput achieved by the proposed algorithm is up to 75% and 205% higher than Cellular and RSS based schemes, respectively. Moreover, the average data transmission cost of THODM algorithm is 24% and 69.2% lower than the Cellular and RSS schemes. The proposed algorithm minimizes the average transmission cost while maintaining the telemedicine service quality at the highest level in high speed environment.

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Section: Vertical Handover In Heterogeneous Networkmentioning

confidence: 99%

A Vertical Handover Management for Mobile Telemedicine System using Heterogeneous Wireless Networks

Yew¹,

Supriyanto²,

Satria³

et al. 2016

ijacsa

View full text Add to dashboard Cite

show abstract

“…These decision schemes include the well-known and famous decision modelling such as TOSPSIS [12], grey relational analysis (GRA) [13], Vlsekriterijumska optimizacija I KOmpromisno Resenje (VIKOR) [14], and ELimination Et Choix Traduisantla REalite (ELECTRE) [15], and analytical hierarchy process (AHP) [16]. In the case of TOPSIS, an optimal network is selected for handover if it is closer to the ideal situation from other networks.…”

Section: Related Workmentioning

confidence: 99%

A Vertical Handover Management Scheme based on Decision Modelling in Heterogeneous Wireless Networks

Khan

Han

2015

IETE Technical Review

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Providing a continuous connection in heterogeneous wireless networks is a challenging job. Traditional approaches are mainly concerned to specific scenarios. These approaches are also suffering from different problems like ping-pong effect, inappropriate handover triggering, etc. Therefore, to provide a generic connectivity in heterogeneous wireless networks, we proposed a vertical handover decision scheme. The proposed scheme performs handover triggering using simple additive weighting on the data rate of a point of attachment (PoA). The user calculates the data rate required by different applications and then compares it with a predefined threshold. Similarly, the network selection is performed using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) decision model on different parameters such as delay, jitter, bit error rate, packet loss ratio, communication cost, response time, and network load. The PoA of a network calculates its rank using TOPSIS and sends it to the user. The user then selects the network with the highest rank. The proposed vertical handover decision scheme is compared with grey relational analysis and analytical hierarchy process in the context of handover rate, failed handovers, packet loss ratio, and throughput. The proposed scheme is tested in different mobility scenarios, and it is shown that our scheme provides superior performance over the existing schemes.

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“…Moreover, the core network of heterogeneous wireless access networks, e.g. WLAN [1], WiMAX [2,3], and 3GPP (WCDMA, LTE); they are evolving into all-IP based network.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient MIH based Independent and Heterogeneous Vertical Handover Algorithm

Avinash¹

2018

IJCA

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In recent years wireless technologies are most popular in modern world; similarly in communication field also essential for multi-mode wireless devices in heterogeneous wireless network environments. To make a seamless handover among heterogeneous networks, the optimal selection of a network is a challenging task. The main issue in RAT is to manage the handover efficiency between one region to other region communication. Handover is the process of communicating from one region to other region without any interruptions; we apply Media Independent Handover (MIH) method with global access point services. Through this we can show the communication can be carried out by the Access point associated with Base station, so that the Source can efficiently communicate with any mobile users (nodes) presented in any regions with full independent support. So that the handover based communication is achieved via MIH methodology. Quality of Service (QOS) is the main concern over wireless communications, so that the successful route establishments will be achieved via Route Request and Route Response methodologies. Source and destinations are communicated via route requesting and response methodology, if any neighbor node fails to send response back to request that will be considered as the Malicious or abnormal node, as well as I will not be a part for further precedence in communications. In simulation environment, apart from the paper implementations we can show multicasting routing methodology to show our results are best with more destinations as well. For all the proposed results should prove the energy efficiency is more, delay is reduced, performance and network lifetime is improved, we show these details via graphical results. KeywordsEnergy efficiency, vertical handover, handover decision algorithm, Energy efficiency

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An Optimized Network Selection and Handover Triggering Scheme for Heterogeneous Self-Organized Wireless Networks

Cited by 33 publications

References 29 publications

A Vertical Handover Management for Mobile Telemedicine System using Heterogeneous Wireless Networks

A Vertical Handover Management for Mobile Telemedicine System using Heterogeneous Wireless Networks

A Vertical Handover Management Scheme based on Decision Modelling in Heterogeneous Wireless Networks

Energy Efficient MIH based Independent and Heterogeneous Vertical Handover Algorithm

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