Adaptive Vertical Mobility Decision in Heterogeneous Networks

Horrich, S.; Jamaa, S. Ben; Godlewski, Philippe

doi:10.1109/icwmc.2007.16

Cited by 27 publications

(7 citation statements)

References 3 publications

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“…But it gives high latency during the handover execution due to the large data size of neural packages, which could become an issue when implementing such a system in real time. Similarly, Horrich et al [24] propose neural networks and fuzzy-based technique for the handover decision. They propose to use RSS, velocity, and network load as the decision parameters.…”

Section: Mobility Management: a Literature Reviewmentioning

confidence: 98%

An intelligent agent-based scheme for vertical handover management across heterogeneous networks

2011

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Advances in technology have enabled a proliferation of mobile devices and a broad spectrum of novel and outbreaking solutions for new applications and services. The increasing demand for all time and everywhere services requires the network operators to integrate different kinds of wireless and cellular networks. To enable this integration, it is important that users can roam freely across networks. As different technologies are involved in the current infrastructure, the problem of vertical handover needs to be addressed. To cope with the problem of seamless connectivity, several solutions have been presented. But most of them either lack intelligence or are not adaptable for reducing the packet loss and delay involved in the handover procedure. An intelligent technique is needed in order to perform the service continuity in the heterogeneous environment. This paper presents a cooperative agent based approach for the vertical handover using a knowledge plane. We propose to introduce the agents in the mobile nodes and access points to collect the necessary information from the environment. Based on this information, agents take a handover decision. A selection function is also introduced in this work which helps in choosing a best network from the available ones for handover. Finally, the proposed approach is validated with the help of simulations.

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Section: Mobility Management: a Literature Reviewmentioning

confidence: 98%

An intelligent agent-based scheme for vertical handover management across heterogeneous networks

2011

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“…Whereas the Artificial Neural Networks (ANNs) make a handover decision based on choosing an appropriate time and a most suitable access network, some related to the user preferences and network preferences [45], [46,47] which have been surveyed in [36] and [22], respectively. On the other hand, it is possible to use FL and NNs methods with the same VHO approach (e.g., [48,49]). However, the NNs are difficult to implement in practice due to increasing complexity of VHO algorithm [2].…”

Section: Neural Network (Nns)mentioning

confidence: 99%

An Overview on ANS Methods: Who Is a Dominant for the Seamless Vertical Handover Decision through Heterogeneous Networks

Khattab¹

2016

IJETT

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The Next Generation Wireless Systems (NGWSs) consists of heterogeneous wireless access networks such as UMTS, Wi-Fi, WiMAX and LTE where Mobile Users (MUs) can access these technologies and services using a single device. This device is equipped with multiple radio interfaces include devices capable of supporting multiple Radio Access Technologies (RATs) by incorporating several interface cards and appropriate software for switching between multiple access systems (Vertical Handover (VHO)). The Access Network Selection (ANS) regarding the transferring between different RATs is based on network conditions, mobile conditions, user preferences, Quality of Service (QoS) requirements and service cost. This paper overviews VHO approaches proposed in the literature and classify them into three categories based on ANS methods for which their characteristics are presented. Finally, a conclusion about who is a dominant ANS method for seamless VHO is given.

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“…The second stage is described in [17]. In [18] Horrich et al proposed a fuzzy multi criteria VHO algorithm. The algorithm is based on fuzzy logic control(FLC) which taken into account multiple relevant criteria like the received energy per chip divided by the power density in the band (CPICH E c /N0) for UMTS and RSS for WLAN, load information and mobile terminal velocity.…”

Section: Fuzzy Logic and Neural Network Based Strategies (Fl/nn)mentioning

confidence: 99%

A Review of Mobility Management in Integrated UMTS and WLAN Networks

Barooah¹,

Pathak²,

Karmakar³

2015

JACN

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Abstract-In today's age of Next Generation Internet there have been a plethora of diversified overlapping networks where each of these communication technologies are optimized to provide user specific services and Quality of Service(QoS) parameters. The main objective of next generation networks focus at high bandwidth and high mobility. There are WiFi hotspots (WLAN) providing high data rates within smaller areas and UMTS networks providing larger coverage areas with low data rates. These two complementary networks can be combined to quench the thirst for ubiquitous communication enabling the smart mobile user to roam seamlessly between these technologies for best possible services. To ensure Always Best Connectivity, one of the main short comings to be addressed is efficient handoff management and there are a lot of works already published addressing various issues of efficient handoff management till date. This paper provides a comprehensive detail of different handoff management strategies reported so far in a systematic manner and also throws light on a particular scheme of handoff management between UMTS and WLAN providing QoS to the mobile users.Index Terms-RSSI, SINR, VHO.

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Adaptive Vertical Mobility Decision in Heterogeneous Networks

Cited by 27 publications

References 3 publications

An intelligent agent-based scheme for vertical handover management across heterogeneous networks

An intelligent agent-based scheme for vertical handover management across heterogeneous networks

An Overview on ANS Methods: Who Is a Dominant for the Seamless Vertical Handover Decision through Heterogeneous Networks

A Review of Mobility Management in Integrated UMTS and WLAN Networks

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