Wireless sensor networks require communication protocols for efficiently maintaining data in a distributed fashion. The Trickle algorithm is a popular protocol serving as the basis for many of the current standard communication protocols. In this paper we develop a mathematical model describing how Trickle maintains data, establish a relationship with a class of spatial stochastic models known as Cooperative Sequential Adsorption (CSA). We derive asymptotic results for the coverage ratio for a specific class of CSA models and investigate the scalability of the Trickle algorithm.
|Titel||32nd International Symposium on Computer Performance, Modeling, Measurement, and Evaluation (IFIP WG 7.3 Performance 2014, Torino, Italy, October 7-9, 2014)|
|Status||Gepubliceerd - 2014|
|Naam||ACM SIGMETRICS Performance Evaluation Review|
|ISSN van geprinte versie||0163-5999|