Low-Cost Testbed Development and Its Applications in Cognitive Radio Prototyping

Solc, Tomaz; Fortuna, Carolina; Mohorčič, Mihael

doi:10.1007/978-3-319-01718-1_13

Cited by 14 publications

(16 citation statements)

References 7 publications

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“…In order to illustrate how the multi-level analysis enables powerful insights into wireless network behavior, we consider a ping response time dataset collected over three months from the LOG-a-TEC wireless testbed located outdoors [22]. The considered network has a simple star topology in which the coordinator periodically pings all the nodes.…”

Section: Proof Of Conceptmentioning

confidence: 99%

Data Driven Wireless Network Design: A Multi-level Modeling Approach

Fortuna

Poorter

ŠKraba

et al. 2016

Wireless Pers Commun

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Wireless network technology keeps improving by solving problems detected in current systems and anticipating requirements for future systems. One of the possible approaches to help advancing wireless technology is to develop methods that help researchers understand the less desired behaviors that may occur in a real-world system. One such method is data driven multi-level analysis that uses the monitoring data collected from real-world networks to provide detailed insight, at several levels and/or scales, into the system behavior. This paper discusses data driven multi-level analysis, provides a proof of concept on how it can be applied and identifies challenges. The contributions of this paper are (1) the use of data driven multi-level analysis for understanding the behaviour of wireless networks and (2) the identification of open challenges and directions for future research.

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Section: Proof Of Conceptmentioning

confidence: 99%

Data Driven Wireless Network Design: A Multi-level Modeling Approach

Fortuna

Poorter

ŠKraba

et al. 2016

Wireless Pers Commun

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“…For instance, the starting points for the extension of the already existing LOG-a-TEC testbed was the VESNA sensor node [8] and the ProtoStack tool [9]. The VESNA platform is already being used in the existing testbed for spectrum sensing and cognitive radio experimentation [8] and is the supporting block of most of our research activities. The VESNA core board contains a 32-bit ARM Cortex-M3 microcontroller running at up to 72 MHz CPU clock.…”

Section: A Design Choicesmentioning

confidence: 99%

“…According to a recent survey [5], existing sensor based testbeds are located mostly indoor and nodes are controlled through a wired management network such as USB or Ethernet. A number of sensor based testbeds located outdoor such as SmartSantander [6], CitySense [7] and LOG-a-TEC [8] also exist.…”

Section: Introductionmentioning

confidence: 99%

“…15 management purposes on each node and multihop functionality is achieved using BitCloud 2 . The LOG-a-TEC experimental network uses TI CC1101, CC2500 or NXP TDA18219HN silicon tuner [8].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, when building LOG-a-TEC, our focus was on functionality and we used off-the-shelf components for the wireless management network and custom firmware on the nodes, therefore the system is application specific for spectrum sensing and cognitive radio [8]. As a result, we typically see data rates in the range of 300 bytes/sec.…”

Section: Introductionmentioning

confidence: 99%

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Design trade-offs for the wireless management networks of constrained device testbeds

Činkelj

Sterk

Bekan

et al. 2014

2014 11th International Symposium on Wireless Communications Systems (ISWCS)

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A relatively small number of testbeds based on constrained devices use a wireless management network, mostly because of the unreliable communication it enables. However, in some cases, such management networks are the only option due to the target location of such testbeds: outdoors, on light posts, buildings, etc. In this paper, we analyze the design trade-offs encountered when designing a wireless management network for testbeds based on constrained devices. First, we identify two use cases and the functionality needed by the management network in supporting them. Next, we discuss ways of providing the desired functionality and illustrate the decisions we took for designing and implementing the management network for the extension of the LOG-a-TEC testbed together with an initial evaluation. The analysis and the adopted decisions resulted in a management network that is separated from the experimental network providing improved application throughput, together with smaller application level updates/reconfiguration size that significantly shorten the time required to set up a new experiment.

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