Social Cognitive Heuristics for adaptive data dissemination in Opportunistic Networks

Author(s):  
Matteo Mordacchini ◽  
Andrea Passarella ◽  
Marco Conti
Author(s):  
Radu Ioan Ciobanu ◽  
Ciprian Dobre

When mobile devices are unable to establish direct communication, or when communication should be offloaded to cope with large throughputs, mobile collaboration can be used to facilitate communication through opportunistic networks. These types of networks, formed when mobile devices communicate only using short-range transmission protocols, usually when users are close, can help applications still exchange data. Routes are built dynamically, since each mobile device is acting according to the store-carry-and-forward paradigm. Thus, contacts are seen as opportunities to move data towards the destination. In such networks data dissemination is usually based on a publish/subscribe model. Opportunistic data dissemination also raises questions concerning user privacy and incentives. In this the authors present a motivation of using opportunistic networks in various real life use cases, and then analyze existing relevant work in the area of data dissemination. The authors present the categories of a proposed taxonomy that captures the capabilities of data dissemination techniques used in opportunistic networks. Moreover, the authors survey relevant techniques and analyze them using the proposed taxonomy.


2019 ◽  
Vol 11 (5) ◽  
pp. 113 ◽  
Author(s):  
Vishnupriya Kuppusamy ◽  
Udaya Thanthrige ◽  
Asanga Udugama ◽  
Anna Förster

A variety of applications and forwarding protocols have been proposed for opportunistic networks (OppNets) in the literature. However, the methodology of evaluation, testing and comparing these forwarding protocols are not standardized yet, which leads to large levels of ambiguity in performance evaluation studies. Performance results depend largely on the evaluation environment, and on the used parameters and models. More comparability in evaluation scenarios and methodologies would largely improve also the availability of protocols and the repeatability of studies, and thus would accelerate the development of this research topic. In this survey paper, we focus our attention on how various OppNets data forwarding protocols are evaluated rather than what they actually achieve. We explore the models, parameters and the evaluation environments and make observations about their scalability, realism and comparability. Finally, we deduce some best practices on how to achieve the largest impact of future evaluation studies of OppNets data dissemination/forwarding protocols.


Author(s):  
Sui Yu ◽  
Lichen Zhang ◽  
Peng Li ◽  
Lixia Li ◽  
Bin Yan ◽  
...  

2008 ◽  
Vol 26 (5) ◽  
pp. 761-772 ◽  
Author(s):  
Ling-Jyh Chen ◽  
Chen-Hung Yu ◽  
Cheng-Long Tseng ◽  
Hao-hua Chu ◽  
Cheng-Fu Chou

2019 ◽  
Vol 147 ◽  
pp. 394-399
Author(s):  
Sui Yu ◽  
Lichen Zhang ◽  
Lixia Li ◽  
Bin Yan ◽  
Zhipeng Cai ◽  
...  

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