Image Processing Reference
In-Depth Information
11
Wireless Sensor Networks
Testing and Validation
. Introduction .........................................
 -
Testing in the Context of Wireless Sensor Networks ACase
for Coordinated Testing and Validation
. WirelessSensorNetworkValidation..................
 -
Wireless Sensor Network Test Platforms Software Testing
Methodologies
. SensorNetworkTestbeds.............................
 -
Deployment-Support Network
. IntegratedTestingArchitecture.......................
 -
Influence of the Environment Architecture Overview
Continuous Integration Continuous Integration in the
Sensor Network Context Testbed Integration Physical
Parameter Extraction Physical Stimulation Test and
Instrumentation Architecture for Physical Characterization
. Test and Validation for Life on the Glacier—The
PermaSenseCase.....................................
Matthias Woehrle
Swiss Federal Institute of Technology
Zurich
Jan Beutel
Swiss Federal Institute of Technology
Zurich
 -
PermaSense System Architecture PermaSense—Testing
and Evaluation
. Summary ............................................  -
References .................................................  -
Lothar Thiele
Swiss Federal Institute of Technology
Zurich
11.1 Introduction
Since Kahn et al.'s [] vision of “Smart Dust” where minuscule sensors are deployed without particular
effort, e.g., dropped from a plane and instrumenting areas at large scale, wireless sensor networks
(WSNs) have matured into viable systems for sensing the environment for diverse applications.
Nevertheless, the wealth and complexity of issues on the system level often only unraveling to their
full magnitude in practice, have led to substantial efforts being made in areas unanticipated by the
early visionaries. As an example, experience has shown that exact sensor node placement is highly
critical not only for sensing but also for wireless communication and the scavenging of energy from
the environment. Details often deemed trivial such as node placement [], node protection (e.g., to
protect against bird droppings []), or wireless propagation closely over ground [] have rendered sys-
tem design and development an extremely complex and often error-prone process requiring careful
planning.
WSNs are expected to become a radical innovation similar to the internet. For a widespread adop-
tion, the underlying architecture needs to be reliable. Best-effort approaches with superior service
levels as used in mobile telephony need to guarantee basic reliability and quality of service to provide
 
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