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

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.

2019 ◽  
Vol 11 (2) ◽  
pp. 29 ◽  
Author(s):  
Asanga Udugama ◽  
Jens Dede ◽  
Anna Förster ◽  
Vishnupriya Kuppusamy ◽  
Koojana Kuladinithi ◽  
...  

Opportunistic networks have recently seen increasing interest in the networking community. They can serve a range of application scenarios, most of them being destination-less, i.e., without a-priori knowledge of who is the final destination of a message. In this paper, we explore the usage of data popularity for improving the efficiency of data forwarding in opportunistic networks. Whether a message will become popular or not is not known before disseminating it to users. Thus, popularity needs to be estimated in a distributed manner considering a local context. We propose Keetchi, a data forwarding protocol based on Q-Learning to give more preference to popular data rather than less popular data. Our extensive simulation comparison between Keetchi and the well known Epidemic protocol shows that the network overhead of data forwarding can be significantly reduced while keeping the delivery rate the same.


Author(s):  
Halikul Lenando ◽  
Aref Hassan Kurd Ali ◽  
Mohamad Alrfaay

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.


IMA Fungus ◽  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
M. Catherine Aime ◽  
Andrew N. Miller ◽  
Takayuki Aoki ◽  
Konstanze Bensch ◽  
Lei Cai ◽  
...  

AbstractIt is now a decade since The International Commission on the Taxonomy of Fungi (ICTF) produced an overview of requirements and best practices for describing a new fungal species. In the meantime the International Code of Nomenclature for algae, fungi, and plants (ICNafp) has changed from its former name (the International Code of Botanical Nomenclature) and introduced new formal requirements for valid publication of species scientific names, including the separation of provisions specific to Fungi and organisms treated as fungi in a new Chapter F. Equally transformative have been changes in the data collection, data dissemination, and analytical tools available to mycologists. This paper provides an updated and expanded discussion of current publication requirements along with best practices for the description of new fungal species and publication of new names and for improving accessibility of their associated metadata that have developed over the last 10 years. Additionally, we provide: (1) model papers for different fungal groups and circumstances; (2) a checklist to simplify meeting (i) the requirements of the ICNafp to ensure the effective, valid and legitimate publication of names of new taxa, and (ii) minimally accepted standards for description; and, (3) templates for preparing standardized species descriptions.


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