Sensorlab / Publications


Maria Porcius
Topology Design and Accessibility Provision in Large Scale Wireless Mesh Networks
MSc thesis, MPS, Ljubljana, Slovenia.

Wireless communication is widely used in many applications and systems that require scalability. These are characterized by complex mesh topologies which can be influenced by many controllable (i.e. network settings) as well as hard to predict and control factors (i.e. external influences). For such networks, topology design can be approached within a simulation process before the deployment of the network in the real environment.

Our goal is to provide an appropriate software tool for topology design and accessibility provision that can (i) reduce the cost of deployment by finding the most appropriate topology for considered settings of these networks, (ii) define the optimal positioning of gateways so as to maximize network accessibility, (iii) support comparison of topology designs corresponding to different network settings, in near real time.

In order to achieve these we developed and implemented a software tool for topology design by combining the mathematical approach based on graph theory with a physical model of operating environment and of signal propagation. The mathematical approach means that we address the problem through a clustering algorithm which assigns nodes to gateways and thus constructs the topology. Such approach is supposed to converge to a solution even when a large number of nodes are considered. The algorithm we propose determines the minimum number of gateways that are needed (if not defined) and optimally positions the gateways in order to provide coverage and external connections for the nodes while maximizing network accessibility. Moreover, since in real environment different obstacles can impact the signal propagation and signal propagation in turn influences the topology and connectivity within the network, we take into account also the physical model of the environment where the network is to be deployed.

The tool provides large flexibility in terms of simulation parameters and scenarios. By allowing a user friendly visualization of the generated topology and change of network settings we can compare different topologies and help designers/users of the tool to choose a solution that best meets their requirements.

We demonstrate the functionality of the simulation tool by showing and analyzing the results it generates in different scenarios. We obtain good simulation time when run on a network with hundreds or thousands of nodes.

Topic: software
Type: thesis
Keywords: mesh networks, topology design, accessibility provisioning



As part of activities in the FP7 CREW project the Department of Communication Systems at JSI installed two VESNA SNE-ESTHER devices in London. SNE-ESHTER is a radio receiver for the UHF band designed at JSI based on the VESNA sensor platform. Installed devices will be used for advanced spectrum sensing, contributing to the large scale Ofcom TV White Spaces pilot. One device was installed on the roof of a building in the King's College London Strand campus and the other on the roof of Queen Mary University London. Long term measurements will be used to support the experimentation with advanced, so called cognitive radio devices, as secondary users in currently unused parts of the spectrum.

Marko Pesko, Miha Smolnikar, Matevz Vucnik, Tomaz Javornik, Milica Pejanovic-Djurisic and Mihael Mohorcic published a paper titled "Smartphone with augmented gateway functionality as opportunistic WSN gateway device" in Wireless Personal Communications journal. They described how a Samsung phone connected via Bluetooth to a VESNA sensor node can act as a gateway to a wireless sensor network.

Chapter "Low-cost testbed development and its applications in cognitive radio prototyping" written by our colleagues Tomaž Šolc, Carolina Fortuna and Mihael Mohorcic has been published by Springer in the book  "Cognitive Radio and Networking for Heterogeneous Wireless Networks" from the Recent Advances and Visions for the Future series.

Jernej and Klemen talked with Nickola Naous about our new VESNA sensor node design. Read about The engineers behind the WSN Vesna on the IoTMonkey blog.

The CREW project entered a continuous open access phase. You can test your cognitive radio networking solution on 5 differrent testbed islands and advanced radio components, including our LOG-a-TEC testbed and the VESNA sensor network platform.

In cooperation with Adria Mobil we are developing a motorhome for the future. Adria Moving Lab is equipped with intelligent sensors that allow the vehicle to adapt to its user. This way we can optimize the use of consumables like fuel and water and exploit renewable sources of energy like solar power. The prototype has been unveiled at the Institute Jožef Stefan open days in April 2014.

Our paper "Trends in the development of communication networks: Cognitive networks" is the 10th among the 25th most cited articles published since 2009, extracted from Scopus, see all on the Elsevier web site.

Check the "Cognitive radio experimentation with VESNA platform" presentation by Miha Smolnikar at the School on Applications of Open Spectrum and White Spaces Technologies.

We are looking for a C programmers that would join the team developing the VESNA platform. Candidates that have previous experience with electronic circuit design, operating systems or open source projects will have priority.


We are constantly open for talented, open minded and hard working undergraduate students, interns and MSc/PhD candidates. Read more.

[ more highlights ]


Dynamic composition of communication services

Carolina Fortuna

Orchestrating Virtual Wireless Networks from Shared Resource Pools
Luiz DaSilva

VESNA in Kognitivni Radio

Tomaž Šolc

[ more videolectures ]


SensorNetwork testbed
Mash-up demo.


GSN demo

[ more demos ]

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