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Low-power listening goes multi-channel

Beshr Al Nahas (Institutionen för data- och informationsteknik, Nätverk och system (Chalmers) ) ; S. Duquennoy ; V. Iyer ; T. Voigt
Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2014 p. 2-9. (2014)
[Konferensbidrag, refereegranskat]

Exploiting multiple radio channels for communication has been long known as a practical way to mitigate interference in wireless settings. In Wireless Sensor Networks, however, multi-channel solutions have not reached their full potential: the MAC layers included in TinyOS or the Contiki OS for example are mostly single-channel. The literature offers a number of interesting solutions, but experimental results were often too few to build confidence. We propose a practical extension of low-power listening, MiCMAC, that performs channel hopping, operates in a distributed way, and is independent of upper layers of the protocol stack. The above properties make it easy to deploy in a variety of scenarios, without any extra configuration/scheduling/channel selection hassle. We implement our solution in Contiki and evaluate it in a 97-node~testbed while running a complete, out-of-the-box low-power IPv6 communication stack (UDP/RPL/6LoWPAN). Our experimental results demonstrate increased resilience to emulated WiFi interference (e.g., data yield kept above 90% when Contiki MAC drops in the 40% range). In noiseless environments, MiCMAC keeps the overhead low in comparison to Contiki MAC, achieving performance as high as 99% data yield along with sub-percent duty cycle and sub-second latency for a 1-minute inter-packet interval data collection. © 2014 IEEE.

Nyckelord: 6LoWPAN , Channel Hopping , Contiki , IoT , Low Power , MAC , Multichannel , Wireless Sensor Networks



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Denna post skapades 2015-09-11. Senast ändrad 2016-03-29.
CPL Pubid: 222289

 

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