SensLAB Very Large Scale Open Wireless Sensor Network Testbed

International audienceThis paper presents a precise description of SensLAB: Very Large Scale Open Wireless Sensor Network Testbed that has been developed and deployed in order to allow the evaluation of scalable wireless sensor network protocols and applications. SensLAB's main and most important goal is to o er an accurate open access multi-users scienti c tool to support the design, development, tuning, and experimentation of real large-scale sensor network applications. The SensLAB testbed is composed of 1024 nodes and it is distributed among 4 sites. Two sites o er access to mobile nodes. Every sensor node is also able to be con gured as a sink node and can exchange data with any other sink node of the whole SensLAB testbed (locally or remotely) or any computer on the Internet. The hardware designed on purpose and software architectures that allow to reserve, con gure, deploy embedded software, boot wireless sensor nodes and gather experimental data and monitoring information are described in details. We also present short demonstration examples to illustrate the use of the SensLAB testbed

Properties and topology of the DES-Testbed

The Distributed Embedded Systems Testbed (DES-Testbed) is a hybrid wireless mesh and wireless sensor network that has been deployed at Freie Universität Berlin and was successively extended from November 2007 to December 2010. This technical report gives an overview of the current topology and the properties of the IEEE 802.11 wireless mesh network that is part of the DES-Testbed. The information that was gathered from an experimental study shall enable researchers to optimize their experiment scenarios, to support the evaluation of experiments, and to derive improved models of real world deployments. The differences of testbeds compared with simulation models and how to evaluate and filter the raw data are addressed. The focus of our study is an up-to-date description of the testbed state and to highlight particular issues. We show that the node degree, link ranges, and packet delivery ratios are not normal distributed and that simple means are not sufficient to describe the properties of a real world wireless network. Significant differences of the results from three channels are discussed. As last, the technical report shows that the DES-Testbed is an overall well connected network that is suited for studies of wireless mesh network and wireless mobile ad-hoc network problems.09.03.201

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

International audienceThis paper presents a description of SensLAB(Very Large Scale Open Wireless Sensor Network Testbed) that has been developed and deployed in order to allow the evaluation through experimentations of scalable wireless sensor network protocols and applications. SensLAB's main and most important goal is to o er an accurate open access multiusers scienti c tool to support the design, the development tuning, and the experimentation of real large-scale sensor network applications. The SensLAB testbed is composed of 1024 nodes over 4 sites. Each site hosts 256 sensor nodes with speci c characteristics in order to o er a wide spectrum of possibilities and heterogeneity. Within a given site, each one of the 256 nodes is able both to communicate via its radio interface to its neighbors and to be con gured as a sink node to exchange data with any other "sink node". The hardware and software architectures that allow to reserve, con gure, deploy rmwares and gather experimental data and monitoring information are described. We also present demonstration examples to illustrate the use of the SensLAB testbed and encourage researchers to test and benchmark their applications/protocols on a large scale WSN testbed

Sensornet checkpointing: enabling repeatability in testbeds and realism in simulations

When developing sensor network applications, the shift from simulation to testbed causes application failures, resulting in additional time-consuming iterations between simulation and testbed. We propose transferring sensor network checkpoints between simulation and testbed to reduce the gap between simulation and testbed. Sensornet checkpointing combines the best of both simulation and testbeds: the nonintrusiveness and repeatability of simulation, and the realism of testbeds