SimANet – A Large Scalable, Distributed Simulation Framework for Ambient Networks

Vodel, Matthias; Sauppe, Matthias; Caspar, Mirko; Hardt, Wolf‐Dietrich

doi:10.4304/jcm.3.7.11-19

Cited by 9 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…K-dimensional trees [8] are data structures that are used to partition data and thus have a better distribution of nodes to limit the number of operations when the searching for nearest neighbors is required. K-dimensional trees are especially used for the nearest neighbor search by the ambient network simulator SimANet [20]. Figure 11 shows the data partitioning with a k-dimensional tree for the set of points (6,3), (5,5), (3,2), (4,8), (8,7) and (7,1).…”

Section: Use Of Binaries Treesmentioning

confidence: 99%

Large Scale Experiments of Multihop Networks in Mobile Scenarios

Benchaïb¹,

Chaudet²

2015

Proceedings of the 10th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks &

View full text Add to dashboard Cite

This paper presents the latest advances in our research work focused on VIRMANEL and SILUMOD, a couple of tools developed for research in wireless mobile multihop networks. SILUMOD is a domain specific language dedicated to the definition of mobility models. This language contains keywords and special operators that make it easy to define a mobility model and calculate the positions of a trajectory. These positions are sent to VIRMANEL, a tool that manages virtual machines corresponding to mobile nodes, emulates their movements and the resulting connections and disconnections, and displays the network evolution to the user, thanks to its graphical user interface. The virtualization approach we take here allows to run real code and to test real protocol implementations without deploying an important experimental platform. For the experimentation of a large number of virtual mobile nodes, we defined and implemented a new algorithm for the nearest neighbor search to find the nodes that are within communication range. We then carried out a considerable measurement campaign in order to evaluate the performance of this algorithm. The results show that even with an experiment using a large number of mobile nodes, our algorithm make it possible to evaluate the state of connectivity between mobile nodes within a reasonable time and number of operations.

show abstract

Section: Use Of Binaries Treesmentioning

confidence: 99%

Large Scale Experiments of Multihop Networks in Mobile Scenarios

Benchaïb¹,

Chaudet²

2015

Proceedings of the 10th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks &

View full text Add to dashboard Cite

show abstract

“…In a first step, we simulate the influences of the main critical parameters. For this purpose, we use the SimANet framework [17] [18], which provides a lot of features for a functional analysis in the context of mobile ad hoc and sensor networks. SimANet allows the abstract modelling of wireless communication standards and interfaces.…”

Section: Simulation and Analysismentioning

confidence: 99%

Wake-Up-Receiver Concepts - Capabilities and Limitations

Vodel¹,

Caspar²,

Hardt³

2012

JNW

Self Cite

View full text Add to dashboard Cite

A promising idea for optimising the power consumption of mobile communication devices represents the usage of an additional ultra-low-power receiver unit, which is able to control the main transceiver in order to reduce the standby power consumption of the overall system. Such a Wake-Up-Receiver (WuRx) unit senses the medium and switches on the communication interfaces in case of an external request. Otherwise, all system components for the network communication are completely switched off. Especially in the domain of resource-limited and embedded devices, WuRx technologies enable novel communication paradigms.

But on the application layer, not all scenarios allow the efficient usage of such WuRx technologies. Dependent on environmental parameters, technological limitations and conceptual requirements, different strategies are necessary to ensure energy-efficient system operation.

In this article, we present a critical analysis of the capabilities and the conceptual limitations of WuRx approaches. Therefore, we identify critical parameters for WuRx concepts, which limit the efficiency in real world scenarios. Our goal is to classify sufficient fields of application. Furthermore we evaluate the influences of these parameters on the system behaviour. In addition, we introduce heterogeneous energy harvesting approaches as an efficient way for the system optimisation. The proposed technologies are capable to be integrated into small-sized wireless sensor platforms and prolong the system uptime significantly.

The presented simulation results are focusing on actual smart metering scenarios and wireless sensor networks. Based on these measurements, we were able to apply further optimisation steps within the system configuration on the application layer. In this context, we focus on application-specific key issues, like the trade-off between measurement quality and quantity, the usage of data buffering approaches and QoS capabilities.

show abstract

Data Mining with Digital Fingerprinting - Challenges, Chances, and Novel Application Domains

Vodel

Ritter

2018

Advances in Data Mining. Applications and Theoretical Aspects

View full text Add to dashboard Cite

SimANet – A Large Scalable, Distributed Simulation Framework for Ambient Networks

Cited by 9 publications

References 14 publications

Large Scale Experiments of Multihop Networks in Mobile Scenarios

Large Scale Experiments of Multihop Networks in Mobile Scenarios

Wake-Up-Receiver Concepts - Capabilities and Limitations

Data Mining with Digital Fingerprinting - Challenges, Chances, and Novel Application Domains

Contact Info

Product

Resources

About