SensorBench
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SensorBench: Benchmarking Approaches to Processing Wireless Sensor Network Data Alasdair J G Gray [email protected] alasdairjggray.co.uk @gray_alasdair
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SensorBench is a benchmark suite for wireless sensor networks. The design of wireless sensor network systems sits within a multi-dimensional design space, where it can be difficult to understand the implications of specific decisions and to identify optimal solutions. SensorBench enables the systematic analysis and comparison of different techniques and platforms, enabling both development and user communities to make well informed choices. The benchmark identifies key variables and performance metrics, and specifies experiments that explore how different types of task perform under different metrics for the controlled variables. The benchmark is demonstrated by its application on representative platforms. Full details of the benchmark are available from http://dl.acm.org/citation.cfm?id=2618252 (DOI: 10.1145/2618243.2618252)
Transcript of SensorBench
SensorBench: Benchmarking Approaches to Processing Wireless Sensor Network Data
Alasdair J G [email protected]@gray_alasdair
Example WSN Applications
WSN Frameworks
How do we
compare different
systems?
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Resource Concerns Energy
Running off battery Computation Capabilities
Limited CPU Limited memory Limited storage
Radio Transmission Limited range Energy impact Lost transmissions
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SensorBench WSN Platform-agnostic benchmark
Identifies Variables Characterises Tasks Measures Performance Metrics
Simulation of platforms Enables
Cross-platform comparison Accurate predictions
Available fromhttp://code.google.com/p/sensorbench
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Benchmark Experiments
1. Impact of network size
2. Impact of node layout
3. Impact of node density
4. Impact of acquisition interval
5. Impact of proportion of source nodes
6. Impact of packet loss
7. Impact of task
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7: Impact of Task
Variable Value
Tasks {Select, aggregation, join, LR, Outlier}
Acquisition Intervals (s)
{1, 2, 4, 8, 16, 32, 64, 128}
Network Size 25
Node Layout irregular
Node Density 3
Proportion of Sources 80
Radio Loss Rate 0
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7: Impact of Task
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Thank you
SensorBench: benchmarking approaches to processing wireless sensor network data. Ixent Galpin, Alan B. Stokes, George Valkanas, Alasdair J. G. Gray, Norman W. Paton, Alvaro A. A. Fernandes, Kai-Uwe Sattler, and Dimitrios Gunopulos DOI: 10.1145/2618243.2618252SSDBM 2014: 21http://code.google.com/p/sensorbench
www.alasdairjggray.co.uk [email protected] @gray_alasdair
18 August 2014 SICSA CENSIS Workshop
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