Chieh-Jan Mike Liang, Nissanka Bodhi Priyantha, Jie Liu, and Andreas Terzis
2 November 2010
Frequency overlap across wireless networks with different
radio technologies can cause severe interference and reduce
communication reliability. The circumstances are particularly
unfavorable for ZigBee networks that share the 2.4
GHz ISM band withWiFi senders capable of 10 to 100 times
higher transmission power. Our work first examines the interference
patterns between ZigBee and WiFi networks at
the bit-level granularity. Under certain conditions, ZigBee
activities can trigger a nearby WiFi transmitter to back off,
in which case the header is often the only part of the Zig-
Bee packet being corrupted. We call this the symmetric interference
regions, in comparison to the asymmetric regions
where the ZigBee signal is too weak to be detected by WiFi
senders, but WiFi activity can uniformly corrupt any bit in a
ZigBee packet. With these observations, we design BuzzBuzz
to mitigateWiFi interference through header and payload redundancy.
Multi-Headers provides header redundancy giving
ZigBee nodes multiple opportunities to detect incoming
packets. Then, TinyRS, a full-featured Reed Solomon
library for resource-constrained devices, helps decoding polluted
packet payload. On a medium-sized testbed, BuzzBuzz
improves the ZigBee network delivery rate by 70%. Furthermore,
BuzzBuzz reduces ZigBee retransmissions by a factor
of three, which increases the WiFi throughput by 10%.
In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys 2010)
Publisher Association for Computing Machinery, Inc.
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