63
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Performance tradeoffs among percolation-based broadcast protocols in wireless sensor networks

&
Pages 509-530 | Received 09 Sep 2009, Accepted 12 Sep 2009, Published online: 12 Feb 2010
 

Abstract

Broadcast of information in wireless sensor networks is an important operation, for example, for code updates, queries and membership information. In this paper, we analyse and experimentally compare the performance of vanilla versions of several well-known broadcast mechanisms: flooding, site percolation, bond percolation and modified bond percolation. While flooding and some percolation-based approaches have been compared in the literature, there is no all-to-all comparison among all schemes. We carry out our comparison for several network topologies defined by node locations: random, grid and clustered. Our analysis is performed at the link layer level, where we use a propagation model based on real experiments from the literature. The link model used is independent of the medium access control (MAC) layer and, therefore, helps us in arriving at the best possible values for the metrics that we compare in our analysis. Our main metrics are bandwidth, energy usage and broadcast latency. Our analytical and experimental results show that, given a desired high reliability for all topologies, flooding has the lowest latency but consumes the most energy per broadcast. For dense networks, site percolation achieves comparable latency and reliability to flooding, while lowering energy consumption. Modified bond percolation further lowers energy consumption compared to site percolation, while basic bond percolation leads to a latency increase. For sparse networks, results are similar to a dense network except that site percolation consumes lower energy than modified bond percolation. We briefly discuss implications for different broadcast applications.

Acknowledgements

The authors would like to acknowledge NSF for supporting this work in part by the CAREER grant CNS 04-48246, in part by NSF ITR grant CMS 04-27089 and in part by the grant CNS 05-19817.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 763.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.