Social-connectivity-aware vertical handover for heterogeneous wireless networks

Haider, Ammar; Gondal, Iqbal

doi:10.1016/j.jnca.2013.01.010

Cited by 9 publications

(6 citation statements)

References 27 publications

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“…We analysed the degree centrality, closeness centrality, and eigenvector centrality of supply chain system. We used the modified sigmoid functions [19] to calculate these values. To transform the calculated values ranging from 0 to 1, the vulnerability score of the nodes is assigned to constant k (used in sigmoid functions).…”

Section: Resultsmentioning

confidence: 99%

Vulnerability Modelling for Hybrid IT Systems

Ur-Rehman

Gondal

Kamruzzuman

et al. 2019

2019 IEEE International Conference on Industrial Technology (ICIT)

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Common vulnerability scoring system (CVSS) is an industry standard that can assess the vulnerability of nodes in traditional computer systems. The metrics computed by CVSS would determine critical nodes and attack paths. However, traditional IT security models would not fit IoT embedded networks due to distinct nature and unique characteristics of IoT systems. This paper analyses the application of CVSS for IoT embedded systems and proposes an improved vulnerability scoring system based on CVSS v3 framework. The proposed framework, named CVSS IoT , is applied to a realistic IT supply chain system and the results are compared with the actual vulnerabilities from the national vulnerability database. The comparison result validates the proposed model. CVSS IoT is not only effective, simple and capable of vulnerability evaluation for traditional IT system, but also exploits unique characteristics of IoT devices.

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Section: Resultsmentioning

confidence: 99%

Vulnerability Modelling for Hybrid IT Systems

Ur-Rehman

Gondal

Kamruzzuman

et al. 2019

2019 IEEE International Conference on Industrial Technology (ICIT)

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“…The presented calculation used the metrics of non-functional and functional for choosing the high satisfaction valued access point. Haider et al (2013) have presented the admission control in WLAN which utilises the social network setting of users in their scope field to characterise the traffic in both global and local. They acquainted another social connectivity-aware vertical handover (SCVH) strategy which with the help of data of connectivity graph from the administrations of online social systems administration, executed control of admission.…”

Section: Literature Surveymentioning

confidence: 99%

Enhanced media independent handover for vertical handover decision in MANET

Nath

Aggarwal

Singh

2020

IJIE

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In heterogeneous mobile ad hoc network (MANET), seamless connectivity of a mobile node is the important challenge. Due to the mobility of the node, it may loss seamless connection. So, vertical handover techniques were presented to solve this issue. However, communication might get cancelled when handover takes place. This results in call drop and some other issues. So as to overcome these issues, an enhanced media independent handover/IEEE802.21 (EMIH) for vertical handover decision is presented in this paper. In this standard, adaptive neuro-fuzzy inference system (ANFIS) is included to select optimal network for vertical handover. Simulation results show that performance of the proposed approach outperforms that of the existing approach in terms of handover probability, drop, etc.

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“…Moreover, recent efforts concentrate on taking advantage of the knowledge extracted from SNs and confront problems in wireless communications. In particular, the authors in [ 13 ] present a social-connectivity-aware vertical handover (SCVH) scheme, which uses connectivity graph data from OSNs in order to perform admission control in wireless local area networks (WLANs). Similarly in [ 14 ], the authors take into account the social interactions among users and present a methodology to deal with network disruption in opportunistic networking solutions.…”

Section: Related Workmentioning

confidence: 99%

Socially Aware Heterogeneous Wireless Networks

Kosmides

Adamopoulou

Demestichas

et al. 2015

Sensors

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The development of smart cities has been the epicentre of many researchers’ efforts during the past decade. One of the key requirements for smart city networks is mobility and this is the reason stable, reliable and high-quality wireless communications are needed in order to connect people and devices. Most research efforts so far, have used different kinds of wireless and sensor networks, making interoperability rather difficult to accomplish in smart cities. One common solution proposed in the recent literature is the use of software defined networks (SDNs), in order to enhance interoperability among the various heterogeneous wireless networks. In addition, SDNs can take advantage of the data retrieved from available sensors and use them as part of the intelligent decision making process contacted during the resource allocation procedure. In this paper, we propose an architecture combining heterogeneous wireless networks with social networks using SDNs. Specifically, we exploit the information retrieved from location based social networks regarding users’ locations and we attempt to predict areas that will be crowded by using specially-designed machine learning techniques. By recognizing possible crowded areas, we can provide mobile operators with recommendations about areas requiring datacell activation or deactivation.

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Social-connectivity-aware vertical handover for heterogeneous wireless networks

Cited by 9 publications

References 27 publications

Vulnerability Modelling for Hybrid IT Systems

Vulnerability Modelling for Hybrid IT Systems

Enhanced media independent handover for vertical handover decision in MANET

Socially Aware Heterogeneous Wireless Networks

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