Information epidemics control for data delivery in opportunistic networks

Aung, Cherry Ye; Ali, G. G. Md. Nawaz; Zhao, Ming; Cai, Ruojun; Chong, Peter Han Joo

doi:10.1109/icc.2016.7510978

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…In view of the control of information diffusion process, scholars generally adopt the optimal control method, the pulse control method, the Top-K nodes influence method and so on, to control the spatiotemporal dynamic diffusion process of information in the network [33]. A number of papers [19], [34]- [37] proposed a defensive strategy to disseminate correct messages for combating the spread of malicious information.…”

Section: Related Workmentioning

confidence: 99%

“…Borrowing the idea from the control of infectious disease diffusion, Aung et al [37] presented a method to control the malicious information dissemination in MSNs, and studied the adaptability and extensibility of the SIR model in MSNs. Their results show that the theory of infectious disease spread is effective for modeling and controlling the information diffusion process in MSNs.…”

Section: Related Workmentioning

confidence: 99%

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Dynamic Control of Fraud Information Spreading in Mobile Social Networks

Lin

Wang

Hao

et al. 2021

IEEE Trans. Syst. Man Cybern, Syst.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Dynamic Control of Fraud Information Spreading in Mobile Social Networks

Lin

Wang

Hao

et al. 2021

IEEE Trans. Syst. Man Cybern, Syst.

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“…Moreover, information epidemics (also known as forwarding cost) has become a critical design issue for data delivery in opportunistic networks when delivery efficiency is considered [58]. Due to the information dissemination nature of SCF routing, information epidemics control has become a necessary mechanism in SCF routing to prevent from the epidemics outbreak [83].…”

Section: Introductionmentioning

confidence: 99%

Cooperative opportunistic data delivery solutions for challenging wireless networks

Aung¹

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Advances in wireless communications and networking technologies are rapidly making the anywhere anytime wireless access a reality. Wireless ad hoc networks (WANETs) have been largely deployed due to its several promising benefits over the wired networks. The deployment of WANET is in various forms which include mobile ad hoc network (MANET), vehicular ad hoc network (VANET), opportunistic network or delay tolerant network (DTN), and mobile social networks. Disaster recovery communications, military/tactical communications, mobile social networks, vehicle-to-any (V2X) communications, mobile sensor networks are some major applications of WANET which have been widely deployed today. Data delivery in WANET, especially in mobile and hostile environments, poses great challenges due to the infrastructure-less environment, mobility, unreliable wireless link nature, effect of terrain, and distributed nature of wireless devices. In this thesis, we propose data delivery solutions for challenging wireless networks with major focus on opportunistic networks. We exploit adaptive data forwarding strategies, cooperation opportunities, openair wireless medium nature, communities and ties in social network nature, and multiple network interfaces to tackle such challenges and improve the system performance. Firstly, we study the mobility models in WANET. The synthetic mobility models are widely used in the WANET research for network simulations and performance evaluations. Group mobility model is of particular interest as group motion occurs commonly in scenarios where WANETs are deployed, such as disaster recovery operations, military operations, and mobile social Author's Publications References List of Figures 2.1 Classification of group mobility models. References to these

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