On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Mirage: a microeconomic resource allocation system for sensornet testbeds
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Investigating a physically-based signal power model for robust low power wireless link simulation
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
The β-factor: measuring wireless link burstiness
Proceedings of the 6th ACM conference on Embedded network sensor systems
Physically-based models of low-power wireless links using signal power simulation
Computer Networks: The International Journal of Computer and Telecommunications Networking
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We study the time-scaling characteristics of low-power wireless communication at the physical and link layers. We observe that links are bursty at many time scales: the packet reception rate (PRR) varies regardless of the length of the time scale considered. Using wavelet analysis, we find that RSSI variations in many wireless sensor network (WSN) links are consistent with statistical self-similarity but not with long range dependence, which can explain burstiness at many scales. We relate RSSI variance to the probability that the physical layer is consistent with self-similarity. Current simulation models and protocols do not take these characteristics into account, leading to inaccurate simulation and sub-optimal protocol performance.