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)

1. SensorBench:
Benchmarking Approaches to
Processing Wireless Sensor
Network Data
Alasdair J G Gray
A.J.G.Gray@hw.ac.uk
alasdairjggray.co.uk
@gray_alasdair

2. Example WSN Applications

3. WSN Frameworks

4. Resource Concerns
 Energy
 Running off battery
 Computation Capabilities
 Limited CPU
 Limited memory
 Limited storage
 Radio Transmission
 Limited range
 Energy impact
 Lost transmissions
18 August 2014 SICSA CENSIS Workshop 3

5. SensorBench
 WSN Platform-agnostic benchmark
 Identifies Variables
 Characterises Tasks
 Measures Performance Metrics
 Simulation of platforms
 Enables
 Cross-platform comparison
 Accurate predictions
Available from
http://code.google.com/p/sensorbench
18 August 2014 SICSA CENSIS Workshop 4

6. 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. 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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8. 7: Impact of Task
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9. 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: 10.1145/2618243.2618252
SSDBM 2014: 21
http://code.google.com/p/sensorbench
 www.alasdairjggray.co.uk
 A.J.G.Gray@hw.ac.uk
 @gray_alasdair
18 August 2014 SICSA CENSIS Workshop 11