Using SensLAB as a First Class Scientific Tool for Large Scale Wireless Sensor Network Experiments

Roziers, C. Burin des; Chelius, Guillaume; Ducrocq, Thierry; Fleury, Éric; Fraboulet, Antoine; Gallais, Antoine; Mitton, Nathalie; Noël, Thomas; Vandaële, Julien

doi:10.1007/978-3-642-20757-0_12

Cited by 36 publications

(26 citation statements)

References 10 publications

(9 reference statements)

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“…As noted earlier, a WSN testbed can completely overcome negative influences of the SOFT-BARRIER type which degrade the fulfillment level to either Level-1 or Level-2. Apparently, large-scale WSN testbeds built on a large volume of elaboration such as SensLAB [40] possess higher fulfillment levels in practice. Nevertheless, architectural merits and demerits of design approaches identified by our fulfillment assessment are clearly useful for systematic improvements of the current WSN testbeds.…”

Section: Fulfillment Assessment Of Wsn Testbedsmentioning

confidence: 99%

Experimental Research Testbeds for Large-Scale WSNs: A Survey from the Architectural Perspective

Kim

Hong

Yoo

et al. 2015

International Journal of Distributed Sensor Networks

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Wireless sensor networks (WSNs) have a significant potential in diverse applications. In contrast to WSNs in a small-scale setting, the real-world adoption of large-scale WSNs is quite slow particularly due to the lack of robustness of protocols at all levels. Upon the demanding need for their experimental verification and evaluation, researchers have developed numerous WSN testbeds. While each individual WSN testbed contributes to the progress with its own unique innovation, still a missing element is an analysis on the overall system architecture and methodologies that can lead to systematic advances. This paper seeks to provide a framework to reason about the evolving WSN testbeds from the architectural perspective. We define three core requirements for WSN testbeds, which are scalability, flexibility, and efficiency. Then, we establish a taxonomy of WSN testbeds that represents the architectural design space by a hierarchy of design domains and associated design approaches. Through a comprehensive literature survey of existing prominent WSN testbeds, we examine their best practices for each design approach in our taxonomy. Finally, we qualitatively evaluate WSN testbeds for their responsiveness to the aforementioned core requirements by assessing the influence by each design approach on the core requirements and suggest future directions of research.

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Section: Fulfillment Assessment Of Wsn Testbedsmentioning

confidence: 99%

Experimental Research Testbeds for Large-Scale WSNs: A Survey from the Architectural Perspective

Kim

Hong

Yoo

et al. 2015

International Journal of Distributed Sensor Networks

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“…A notable exception is SensLab [12], which also uses OAR, and was actually inspired by our work on Grid'5000 (as both testbeds are mainly located in France).…”

Section: Related Workmentioning

confidence: 99%

Resources Description, Selection, Reservation and Verification on a Large-Scale Testbed

Margery

Morel

Nussbaum

et al. 2014

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. The management of resources on testbeds, including their description, reservation and verification, is a challenging issue, especially on of large scale testbeds such as those used for research on High Performance Computing or Clouds. In this paper, we present the solution designed for the Grid'5000 testbed in order to: (1) provide users with an in-depth and machine-parsable description of the testbed's resources; (2) enable multi-criteria selection and reservation of resources using a HPC resource manager; (3) ensure that the description of the resources remains accurate.

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“…The above difficulties in running real experiments, and the importance of these experiments for evaluation, are both key arguments that support the recent efforts made to develop shared wireless testbeds [26,28], an evolution that should provide critical feedback to researchers and practitioners working with wireless distributed networks.…”

Section: Conclusion and Lessons Learntmentioning

confidence: 99%

PAMPA in the wild: a real-life evaluation of a lightweight ad-hoc broadcasting family

Winstanley

Ramdhany

Taı̈ani

et al. 2014

J Internet Serv Appl

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Broadcast is one of the core building blocks of many services deployed on ad-hoc wireless networks, such as Mobile Ad-Hoc Networks (MANETs) or Wireless Sensor Networks (WSNs). Most broadcast protocols are however only ever evaluated using simulations, which have repeatedly been shown to be unreliable, and potentially misleading. In this paper, we seek to go beyond simulations, and consider the particular case of PAMPA, a promising family of wireless broadcast algorithms for ad-hoc and wireless networks. We report on our efforts to further our experimental understanding of PAMPA, and present the first ever characterisation of the PAMPA family on a real deployment. Here it has to deal with real network problems such as node, message and sending failure. Our experiments show that the standard PAMPA algorithm out-performs all other protocols in the family, with a delivery ratio consistently around 75%, and a retransmission ratio as low as 44%, for a failure-free run. We use this opportunity to reflect on our findings and lessons learnt when moving from simulations to actual experiments ab .

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Using SensLAB as a First Class Scientific Tool for Large Scale Wireless Sensor Network Experiments

Cited by 36 publications

References 10 publications

Experimental Research Testbeds for Large-Scale WSNs: A Survey from the Architectural Perspective

Experimental Research Testbeds for Large-Scale WSNs: A Survey from the Architectural Perspective

Resources Description, Selection, Reservation and Verification on a Large-Scale Testbed

PAMPA in the wild: a real-life evaluation of a lightweight ad-hoc broadcasting family

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