TY - GEN
T1 - JamLab
T2 - 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11
AU - Boano, Carlo Alberto
AU - Voigt, Thiemo
AU - Noda, Claro
AU - Römer, Kay
AU - Zúñiga, Marco
PY - 2011
Y1 - 2011
N2 - Radio interference drastically affects the performance of sensor-net communications, leading to packet loss and reduced energy-efficiency. As an increasing number of wireless devices operates on the same ISM frequencies, there is a strong need for understanding and debugging the performance of existing sensornet protocols under interference. Doing so requires a low-cost flexible testbed infrastructure that allows the repeatable generation of a wide range of interference patterns. Unfortunately, to date, existing sensornet testbeds lack such capabilities, and do not permit to study easily the coexistence problems between devices sharing the same frequencies. This paper addresses the current lack of such an infrastructure by using off-the-shelf sensor motes to record and playback interference patterns as well as to generate customizable and repeat-able interference in real-time. We propose and develop JamLab: a low-cost infrastructure to augment existing sensornet testbeds with accurate interference generation while limiting the overhead to a simple upload of the appropriate software. We explain how we tackle the hardware limitations and get an accurate measurement and regeneration of interference, and we experimentally evaluate the accuracy of JamLab with respect to time, space, and intensity. We further use JamLab to characterize the impact of interference on sensornet MAC protocols.
AB - Radio interference drastically affects the performance of sensor-net communications, leading to packet loss and reduced energy-efficiency. As an increasing number of wireless devices operates on the same ISM frequencies, there is a strong need for understanding and debugging the performance of existing sensornet protocols under interference. Doing so requires a low-cost flexible testbed infrastructure that allows the repeatable generation of a wide range of interference patterns. Unfortunately, to date, existing sensornet testbeds lack such capabilities, and do not permit to study easily the coexistence problems between devices sharing the same frequencies. This paper addresses the current lack of such an infrastructure by using off-the-shelf sensor motes to record and playback interference patterns as well as to generate customizable and repeat-able interference in real-time. We propose and develop JamLab: a low-cost infrastructure to augment existing sensornet testbeds with accurate interference generation while limiting the overhead to a simple upload of the appropriate software. We explain how we tackle the hardware limitations and get an accurate measurement and regeneration of interference, and we experimentally evaluate the accuracy of JamLab with respect to time, space, and intensity. We further use JamLab to characterize the impact of interference on sensornet MAC protocols.
KW - Augmenting Sensornet Testbeds
KW - HandyMote
KW - Interference Generation
KW - JamLab
KW - Wireless Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=79959297978&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:79959297978
SN - 9781612848549
T3 - Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11
SP - 175
EP - 186
BT - Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11
Y2 - 12 April 2011 through 14 April 2011
ER -