sMapReduce: a programming pattern for wireless sensor networks

Gupta, Vikram; Tovar, Eduardo; Pinho, Luís Miguel; Kim, Junsung; Lakshmanan, Karthik; Rajkumar, Ragunathan (Raj)

http://hdl.handle.net/10400.22/3802

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Authors

Rajkumar, Ragunathan (Raj)

Abstract(s)

Wireless Sensor Networks (WSNs) are increasingly used in various application domains like home-automation, agriculture, industries and infrastructure monitoring. As applications tend to leverage larger geographical deployments of sensor networks, the availability of an intuitive and user friendly programming abstraction becomes a crucial factor in enabling faster and more efficient development, and reprogramming of applications. We propose a programming pattern named sMapReduce, inspired by the Google MapReduce framework, for mapping application behaviors on to a sensor network and enabling complex data aggregation. The proposed pattern requires a user to create a network-level application in two functions: sMap and Reduce, in order to abstract away from the low-level details without sacrificing the control to develop complex logic. Such a two-fold division of programming logic is a natural-fit to typical sensor networking operation which makes sensing and topological modalities accessible to the user.