Data-centered scheduling for addressing performance metrics on WSN

Authors:
Lia Susana D. C. Silva-Lopez;Jonatan Gomez
Affiliations:
Universidad Nacional de Colombia, Bogota, Department of Systems Engineering, ALIFE Research Group;Universidad Nacional de Colombia, Bogota, Department of Systems Engineering, ALIFE Research Group
Venue:
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Year:
2011

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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.