TWIST: a scalable and reconfigurable testbed for wireless indoor experiments with sensor networks
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Dozer: ultra-low power data gathering in sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
The FlockLab testbed architecture
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Comparative performance analysis of the PermaDozer protocol in diverse deployments
LCN '11 Proceedings of the 2011 IEEE 36th Conference on Local Computer Networks
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In the context of low-power wireless sensor networks, this paper presents multi-hop network tomography (MNT), a novel, non-intrusive algorithm for reconstructing the path, the per-hop arrival order, and the per-hop arrival time of individual packets at runtime. While explicitly transmitting this information over the radio would negatively impact the performance of the system under investigation, information is instead reconstructed after packets have been received at the sink.