The strength of vicinity annexation in opportunistic networking

Phe-Neau, Tiphaine; Amorim, Marcelo Dias de; Conan, Vania

doi:10.1109/infcom.2013.6567166

Cited by 10 publications

(14 citation statements)

References 15 publications

(7 reference statements)

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“…First the efficient content dissemination is mostly due to high contact rate nodes [26]. Second setting a device's neighbourhood view more than 2 hops does not improve the forwarding efficiency and even dramatically increases data redundancy [27]. Therefore, for evaluating a device 's possibility of contacting a destination, the device also stores its adjacent clusters , besides storing its transient cluster .…”

Section: Transient Cluster Detection Methodmentioning

confidence: 99%

An Efficient Forwarding Capability Evaluation Method for Opportunistic Offloading in Mobile Edge Computing

Wang

Gao

Niu

et al. 2018

Wireless Communications and Mobile Computing

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Opportunistic offloading can be utilized to offload computing tasks and traffic data in Mobile Edge Computing (MEC). To improve the ratio of successful data offloading and reduce unnecessary data redundancy in opportunistic forwarding process, some methods of evaluating a device’s forwarding capability are proposed. However, most of these methods do not consider the temporal impact from device mobility and the efficiency influence from the capability computation process. To settle these problems, we proposed a Transient-cluster-based Capability Evaluation Method (TCEM) to evaluate a device’s data forwarding capability. The TCEM can be divided into two steps. The first step aims to reduce computational complexity by evaluating a device’s possibility of contacting the destination within a time constraint based on the transient cluster generated by our proposed Transient Cluster Detection Method (TCDM). The second step is to calculate a device’s probability of directly and indirectly forwarding data to the destination. The probability as a metric of evaluating a device’s forwarding capability can be used in different data forwarding strategies. Simulation results demonstrate that the TCEM-based data forwarding strategy outperforms other data forwarding strategies from the aspect of the proportion of the data delivery ratio to the data redundancy.

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Section: Transient Cluster Detection Methodmentioning

confidence: 99%

An Efficient Forwarding Capability Evaluation Method for Opportunistic Offloading in Mobile Edge Computing

Wang

Gao

Niu

et al. 2018

Wireless Communications and Mobile Computing

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“…Simplicity of the metric is the main advantage, which requires only information about existence of a path. This metric is motivated by the fact that nodes information beyond one-hop contacts, i.e., kvicinity knowledge, has been shown to be a key ingredient to improve opportunistic network forwarding [30].…”

Section: Global Metricsmentioning

confidence: 99%

Design and Analysis of an Efficient Friend-to-Friend Content Dissemination System

Thilakarathna

Viana

Seneviratne

et al. 2017

IEEE Trans. on Mobile Comput.

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Opportunistic communication, off-loading and decentrlaized distribution have been proposed as a means of cost efficient disseminating content when users are geographically clustered into communities. Despite its promise, none of the proposed systems have not been widely adopted due to unbounded high content delivery latency, security and privacy concerns. This paper, presents a novel hybrid content storage and distribution system addressing the trust and privacy concerns of users, lowering the cost of content distribution and storage, and shows how they can be combined uniquely to develop mobile social networking services. The system exploit the fact that users will trust their friends, and by replicating content on friends' devices who are likely to consume that content it will be possible to disseminate it to other friends when connected to low cost networks. The paper provides a formal definition of this content replication problem, and show that it is NP hard. Then, it presents a community based greedy heuristic algorithm with novel dynamic centrality metrics that replicates the content on a minimum number of friends' devices, to maximize availability. Then using both real world and synthetic datasets, the effectiveness of the proposed scheme is demonstrated. The practicality of the the proposed system, is demonstrated through an implementation on Android smartphones.

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“…Thus, protocols may either be enhanced or unenhanced. The enhanced category mainly comprises of two forms: (i) resource management, which constitutes methods to conserve and optimize the use of node and network resources (e.g., coding-based approaches [78], resource allocation [23], delivery acknowledgements [79], and preference according to the age of messages [23]); and (ii) performance optimization, which includes approaches aimed at achieving optimal performance of the protocol (e.g., k-vicinity awareness [80], improved spraying heuristics based on certain qualities presented by the next-hop; for instance a hop that is likely to encounter even better forwarders may be given more quota [17]). …”

Section: Taxonomies For Psn Routing Protocolsmentioning

confidence: 99%