Design and performance evaluation of ContentPlace, a social-aware data dissemination system for opportunistic networks

2010 ◽  
Vol 54 (4) ◽  
pp. 589-604 ◽  
Author(s):  
Chiara Boldrini ◽  
Marco Conti ◽  
Andrea Passarella
Keyword(s):  
Performance Evaluation ◽  
Data Dissemination ◽  
Opportunistic Networks ◽  
And Performance ◽  
Dissemination System

scholarly journals Evaluating Forwarding Protocols in Opportunistic Networks: Trends, Advances, Challenges and Best Practices

2019 ◽  
Vol 11 (5) ◽  
pp. 113 ◽  
Author(s):  
Vishnupriya Kuppusamy ◽  
Udaya Thanthrige ◽  
Asanga Udugama ◽  
Anna Förster
Keyword(s):  
Performance Evaluation ◽  
Best Practices ◽  
Data Dissemination ◽  
Evaluation Studies ◽  
Opportunistic Networks ◽  
Research Topic ◽  
Data Forwarding ◽  
Survey Paper ◽  
Future Evaluation ◽  
Performance Results

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.

Implementation and performance evaluation of two fuzzy-based systems for selection of IoT devices in opportunistic networks

2018 ◽  
Vol 10 (2) ◽  
pp. 519-529 ◽  
Author(s):  
Miralda Cuka ◽  
Donald Elmazi ◽  
Kevin Bylykbashi ◽  
Evjola Spaho ◽  
Makoto Ikeda ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Opportunistic Networks ◽  
Iot Devices ◽  
And Performance ◽  
Selection Of

Acumen Message Drop scheme (AMD) in Opportunistic Networks

2020 ◽  
Vol 10 ◽  
Author(s):  
Halikul Lenando ◽  
Aref Hassan Kurd Ali ◽  
Mohamad Alrfaay
Keyword(s):  
Performance Evaluation ◽  
Waiting Time ◽  
Routing Protocol ◽  
Data Dissemination ◽  
Opportunistic Networks ◽  
Transmission Time ◽  
Limited Resources ◽  
Message Transmission ◽  
Epidemic Routing ◽  
The Impact

Background: In traditional networks, nodes drop messages in order to free up enough space for buffer optimization. However, keeping messages alive until it reaches its destination is crucial in Opportunistic Networks. Therefore, this paper proposes an Acumen Message Drop scheme (AMD) that consider the impact of the message drop decision on data dissemination performance. Methods: In order to achieve this goal, AMD drops the message based on the following considerations: the estimated time of message's arrival to its destination, message time to live, message transmission time, and the waiting time of the message in the queue. AMD scheme works as a plug-in in any routing protocol. Results: Performance evaluation shows that the integration of the proposed scheme with the PRoPHET routing protocol may increase efficiency by up to 80%, while if integrated with Epidemic routing protocol, efficiency increases by up to 35%. Moreover, the proposed system significantly increases performance in the case of networks with limited resources. Conclusion: To the best of our knowledge, most of the previous works did not address the issue of formulating the message drop decision in the non-social stateless opportunistic networks without affecting performance.

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