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Exploiting interference for efficient distributed computation in cluster-based wireless sensor networks

: Limmer, S.; Stanczak, S.; Goldenbaum, M.; Cavalcante, R.L.G.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013. Proceedings. Vol.2 : Austin, Texas, USA, 3 - 5 December 2013
Piscataway, NJ: IEEE, 2013
ISBN: 978-1-4799-0246-0
ISBN: 978-1-4799-0248-4
Global Conference on Signal and Information Processing (GlobalSIP) <1, 2013, Austin/Tex.>
Fraunhofer HHI ()

This invited paper presents some novel ideas on how to enhance the performance of consensus algorithms in distributed wireless sensor networks, when communication costs are considered. Of particular interest are consensus algorithms that exploit the broadcast property of the wireless channel to boost the performance in terms of convergence speeds. To this end, we propose a novel clustering based consensus algorithm that exploits interference for computation, while reducing the energy consumption in the network. The resulting optimization problem is a semidefinite program, which can be solved offline prior to system startup.