Tags: IEEE OMNeT++ Projects

Recent cluster architectures include dozens of cores per node, with all cores sharing the network resources. To program such architectures, hybrid models mixing MPI+threads, and in particular MPI+OpenMP are gaining popularity. This imposes new requirements on communication libraries, such as the need for MPI_THREAD_MULTIPLE level of multi-threading support. Moreover, the high number of cores brings new opportunities…

Major problems in diffusion based molecular communication are Inter Symbol Interference (ISI), low data rates and limited range of communication. Keeping symbol duration as long as possible leads to avoid ISI may be a solution, but this leads to even further reduced data rates. In order to cope with limited range of communication, using relays is one of the…

In typical Opportunistic Networking (OppNets) scenarios, mobile devices collaborate to cooperatively disseminate data toward interested nodes. However, the limited resources and knowledge available at each node, compared to possibly vast amounts of data to be delivered, makes it difficult to devise efficient dissemination schemes. Recent solutions propose to use data dissemination algorithms built on human information processing…

The opportunistic spectrum access technology is one of the most promising methods for alleviating the spectrum scarcity problem, which enables a secondary user (SU) to utilise a primary user spectrum band that is detected idle. However, the throughput achieved by cognitive radios is limited by the interference constraint imposing on the SU. Multiple input single output antenna techniques…

Internet of Things (IoT) enables various applications (crop growth monitoring and selection, irrigation decision support, etc) in Digital Agriculture domain. Semantic enhancements to IoT platforms address challenges of interoperability, data fusion, integration of heterogeneous IoT silos, annotation of data streams, just to name a few. This paper discusses the recently developed OpenIoT platform which demonstrated its applicability and efficiency…

Management of bulk sensor data is one of the challenging problems in the development of Internet of Things (IoT) applications. High volume of sensor data induces for optimal implementation of appropriate sensor data compression technique to deal with the problem of energy-efficient transmission, storage space optimization for tiny sensor devices, and cost-effective sensor analytics. The…

An underlay cognitive multisource multirelay cooperative network is proposed and an analytical framework to evaluate the system performance is formulated. Under both maximum transmission power and interference power constraints, exact and asymptotic outage probabilities for proactive decode-and-forward relaying over Rayleigh fading channels are derived. Both multiuser diversity and cooperative diversity can be achieved with direct secondary links.

The robustness to uncertainty of noise power is one of main challenges to spectrum sensing technique. Since the occurrence of noise power uncertainty causes the detection performance of spectrum sensing techniques significantly degrade. In this paper, we propose two novel schemes of two-stage spectrum sensing for cognitive radio under environment as noise power uncertainty. The two-stage spectrum sensing…

This article describes one of many possible paradigms for future wireless applications. The spectrum in which Wi-Fi operates these days is overcrowded and currently applied rules for Wi-Fi operation are not up-to-date. By adopting a new set of rules for Wi-Fi, it is possible to eliminate some of the currently defined constraints such as Equivalent…

Billions of user-shared images are generated by individuals in many social networks today, and this particular form of user data is widely accessible to others due to the nature of online social sharing. When user social graphs are only accessible to exclusive parties, these user-shared images are proved to be an easier and effective alternative to discover…