Abstract
In this paper, a novel combination of cross-layer strategies for addressing timeliness, handling latency times on a data-centred way, and improving energy management in a non-mobile WSN scenario, is proposed.In this way, a set of performance metrics (for timeliness, latencies and energy management) are introduced and used for evaluating Periodic Scheduling and Simplified Forwarding strategies. The WSN is modelled as an four states Asynchronous Cellular Automaton with irregular neighbourhoods. Therefore, only information from local neighbourhood is needed for communication between nodes. Our results show that the proposed strategies and performance metrics are useful for sensing data accurately, without excessive oversampling. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Silva-Lopez, L. S. D. C., & Gomez, J. (2011). Data-centered scheduling for addressing performance metrics on WSN. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6625 LNCS, pp. 71–80). https://doi.org/10.1007/978-3-642-20520-0_8
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