Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - The Impact of Decreasing Transmit Power Levels on FlockLab To Achieve a Sparse Network
AU - Bradbury, Matthew
AU - Jhumka, Arshad
AU - Maple, Carsten
PY - 2019/4/1
Y1 - 2019/4/1
N2 - For research in Wireless Sensor Networks (WSNs) and the Internet of Things (IoT), while many protocols are either analysed mathematically or simulated to assess performance, it has become necessary that they are tested on hardware in real world environments. Algorithms are often validated in either (i) a densely connected network or (ii) a sparsely connected network. The majority of existing testbeds have implemented dense networks, making evaluation and validation of certain protocols, such as spatially-redundant source location privacy (SLP) protocols, challenging. We explore the use of transmission power to achieve network sparsity and present the results of such experiments performed on the FlockLab testbed. Based upon our experience in using FlockLab, we also identify additional aspects of testbed performance that need to be monitored to ensure reliable and reproducible results.
AB - For research in Wireless Sensor Networks (WSNs) and the Internet of Things (IoT), while many protocols are either analysed mathematically or simulated to assess performance, it has become necessary that they are tested on hardware in real world environments. Algorithms are often validated in either (i) a densely connected network or (ii) a sparsely connected network. The majority of existing testbeds have implemented dense networks, making evaluation and validation of certain protocols, such as spatially-redundant source location privacy (SLP) protocols, challenging. We explore the use of transmission power to achieve network sparsity and present the results of such experiments performed on the FlockLab testbed. Based upon our experience in using FlockLab, we also identify additional aspects of testbed performance that need to be monitored to ensure reliable and reproducible results.
KW - FlockLab
KW - IoT
KW - benchmark
KW - wireless sensor networks
U2 - 10.1145/3312480.3313171
DO - 10.1145/3312480.3313171
M3 - Conference contribution/Paper
SN - 9781450366939
SP - 7
EP - 12
BT - CPS-IoTBench '19
PB - ACM
CY - New York
ER -