sMapReduce: A Programming Pattern for Wireless Sensor Networks

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 re-programming of applications. The authors 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.