Social relevance of topological communities in ad hoc communication networks

Herbiet, Guillaume-Jean; Bouvry, Pascal; Guinand, Frédéric

doi:10.1109/cason.2011.6085912

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…Second, one community can split into two disconnected subsets, causing the wandering community effect. SandSHARC (Stability And Network Dynamics over a Sharper Heuristic for Assignment of Robust Communities) [11] algorithm approaches the mentioned problems. The algorithm introduces also a concept of community stability based on an edge weight.…”

Section: B Community Detection In Dynamic Networkmentioning

confidence: 99%

Detection of stable mobile communities in vehicular Ad Hoc Networks

Grzybek

Seredynski²,

Danoy

et al. 2014

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

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A vehicular Ad Hoc Network (VANET) is a type of wireless network where nodes represent moving vehicles. Some VANET-based applications might require organising vehicles into groups (communities). However, the high mobility of the vehicles and their tendency to travel in clustered flows makes them a challenging subject for community detection. Communities should be formed on the fly, using only local knowledge about their neighbourhood, and evolve as vehicles move over time. The main goal of this paper is to evaluate if stable community detection is possible in highly dynamic VANETs. To do so, the SandSHARC algorithm is extended with two different stability metrics: link duration and mobility similarity. In order to evaluate the stability of the evolving mobile communities, new quantitative and qualitative metrics are proposed, and run simulations on two different VANET scenarios: highway and urban. We analyse how the two stability metrics improve the stability of the detected communities. The results demonstrate that stability depends on the mobility patterns of the underlying traffic network. The proposed method can be applied in a distributed manner and produces communities with robust communication links between members what makes it viable for VANET applications.

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Section: B Community Detection In Dynamic Networkmentioning

confidence: 99%

Detection of stable mobile communities in vehicular Ad Hoc Networks

Grzybek

Seredynski²,

Danoy

et al. 2014

17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

Self Cite

View full text Add to dashboard Cite

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“…Also, this algorithm minimizes the message delay as compared to other algorithms proposed in this context. While, Grzybeket al in [57] proposed a stable community detection algorithm after considering the vehicle's dynamic motion, where authors evolved the Label Propagation Algorithm(LPA) community detection algorithm [58]with the Stability and Network Dynamics over a Sharper Heuristic for Assignment of Robust Communities (SandSHARC) [59]. Besides that, in [57], the authors evaluated their work by testing the stability of the detected community.…”

Section: Misbehaviour Detection and Revocationmentioning

confidence: 99%

VANET Security and Privacy - An Overview

Mansour¹,

Salama²,

Mohamed³

et al. 2018

IJNSA

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Even though vehicular ad-hoc networks (VANETs) bring tremendous benefits to society, yet they raise many challenges where the security and privacy concerns are the most critical ones. In this paper, we provide a detailed overview of the state-of-the-art security and privacy requirements in VANET. Also, a brief of the approachesthat are proposed in the literature to fulfil these requirements is given in this paper. Besides that, a classification of the various VANET attacks based on the communication system layersisprovided in this paper. In addition, the different types of VANET adversaries and attackers arepresented here.In general, this paper aims to provide a good piece of information about VANET security and privacy, in order to be used as a tool to help researchers in this field in developing secure privacy-preserving approaches for VANET.

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A Survey of Vehicular Ad-Hoc Network Security

Kim

2017

Mobile and Wireless Technologies 2017

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Social relevance of topological communities in ad hoc communication networks

Cited by 4 publications

References 28 publications

Detection of stable mobile communities in vehicular Ad Hoc Networks

Detection of stable mobile communities in vehicular Ad Hoc Networks

VANET Security and Privacy - An Overview

A Survey of Vehicular Ad-Hoc Network Security

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