Exploiting Interference for Efficient Distributed Computation in Cluster-based Wireless Sensor Networks
Distributed, Parallel, and Cluster Computing
2014-09-04 v3 Information Theory
math.IT
Abstract
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.
Cite
@article{arxiv.1309.3139,
title = {Exploiting Interference for Efficient Distributed Computation in Cluster-based Wireless Sensor Networks},
author = {Steffen Limmer and Slawomir Stanczak and Mario Goldenbaum and Renato L. G. Cavalcante},
journal= {arXiv preprint arXiv:1309.3139},
year = {2014}
}
Comments
Accepted for publication at IEEE Global Conference on Signal and Information Processing (GlobalSIP 2013)