Stanislav Rost, Hari Balakrishnan
IEEE SECON, Reston, VA, September 2006
Wireless sensor networks are deployed today to monitor the environment, but
their own health status is relatively opaque to network administrators, in most cases. Our system, Memento, provides failure detection and symptom alerts, while being frugal in the use of energy and bandwidth. Memento has two parts: an energy-efficient protocol to deliver state summaries, and a distributed failure detector module. The failure detector is robust to packet
losses, and attempts to ensure that reports of failure will not exceed a specified false positive rate. We show that distributed monitoring of a subset of well-connected neighbors using a variance-bound based failure detector achieves
the lowest rate of false positives, suitable
for use in practice. We evaluate our findings using an
implementation for the TinyOS platform on the Mica2 motes on a 55-node
network, and find that Memento achieves a 80-90% reduction in bandwidth use
compared to standard data collection methods.
[PDF (777KB)] [PostScript (2355KB)]
Bibtex Entry:
@inproceedings{rost2006memento,
author = "Stanislav Rost and Hari Balakrishnan",
title = "{Memento: A Health Monitoring System for Wireless Sensor Networks}",
booktitle = {IEEE SECON},
year = {2006},
month = {September},
address = {Reston, VA}
}