Hierarchical averaging over wireless sensor networks

Published

Journal Article

We introduce an approach to gossip algorithms that exploits three aspects of the wireless medium: superposition, broadcast, and power control. Instead of sending pairwise messages between neighbors on a fixed network topology, we construct gossip algorithms in which nodes can simultaneously recover multiple neighbors' messages and in which nodes can adjust the set of their neighbors by adjusting transmit power. We present two averaging algorithms, each based on a hierarchical clustering of the network. In the first algorithm, clusters of nodes transmit their estimates locally and randomly select a representative node for communications at the next level. In the second, each cluster mutually averages and then cooperatively transmits at the next level. For path-loss environments, these schemes achieve order-optimal or near order-optimal performance. © 2012 IEEE.

Full Text

Duke Authors

Cited Authors

  • Nokleby, M; Bajwa, WU; Calderbank, R; Aazhang, B

Published Date

  • October 23, 2012

Published In

Start / End Page

  • 3121 - 3124

International Standard Serial Number (ISSN)

  • 1520-6149

Digital Object Identifier (DOI)

  • 10.1109/ICASSP.2012.6288576

Citation Source

  • Scopus