4 results
Now showing1 - 4 of 4
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , A beginner's guide to infrastructure-less networking conceptsInfrastructure-less networks connect communication devices end-to-end by managing links and routes independent of fixed networking facilities, relying on dedicated protocols running on end-user devices. The large variety of infrastructure-less concepts and related aspects can be confusing both for beginning Ph.D. students as well as experienced researchers who wish to get an overview of neighbouring areas to their own research foci. Frequently discussed topics such as different types of sensor-, vehicular-, or opportunistic networks are covered. The authors describe different networking concepts by looking at aspects such as the main properties, common applications, and ongoing research. Furthermore, the concepts by common characteristics such as node mobility, network density, or power consumption are compared. The authors also discuss network performance evaluation by describing commonly used metrics, different evaluation techniques, and software tools for simulation-based evaluation. The references given in each section help obtain in-depth information about the presented topics and give hints about open research questions, which can be a starting point for own investigations.Publicationtype: Journal ArticleScopus© Citations 1 39 170 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , My smartphone tattles: considering popularity of messages in opportunistic data dissemination(Multidisciplinary Digital Publishing Institute (MDPI), 2019-01-29); ; ; ; 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.Publicationtype: Journal ArticleScopus© Citations 9 617 507 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Simulating Opportunistic Networks: Survey and Future DirectionsSimulation is one of the most powerful tools we have for evaluating the performance of Opportunistic Networks. In this survey, we focus on available tools and models, compare their performance and precision and experimentally show the scalability of different simulators. We also perform a gap analysis of state-of-the-art Opportunistic Network simulations and sketch out possible further development and lines of research. This survey is targeted at students starting work and research in this area while also serving as a valuable source of information for experienced researchers.Publicationtype: Journal Article250 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Application case studies for opportunistic networksIn this last technical chapter, we finally present concrete application scenarios for opportunistic networks. We have waited with this discussion until the end so that the properties, advantages, and limitations of opportunistic networks become clear in detail first. Even if many different application cases have been proposed in the literature, not all of them are equally well suited to be implemented with opportunistic networks. Here, we focus only on the most promising examples where also concrete implementations already exist.Publicationtype: Book Part52