Design and implementation of a framework for efficient and programmable sensor networks

By Athanassios Boulis, Chih-Chieh Han, Mani B. Srivastava. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2003

328 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Contiki - a lightweight and flexible operating system for tiny networked sensors (2004, methodology): “One of the drawbacks is the increased energy spent in interpreting the code—for long running programs the energy saved during the transport of the binary code is instead spent in the overhead of executing the code.”
Macro-programming Wireless Sensor Networks Using Kairos (2005, methodology): “Such systems enable high-level composition of sensor network applications (Sensorware [21] and SNACK [22]), efficient distribution of code (Deluge [23]), support for sandboxed application execution (Maté [24]), and techniques for automatic performance adaptation (Impala [25]).”
Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications (2005, unknown): “Two technologies that allow this are Mat´e [20], and SensorWare [6].”
Information fusion for wireless sensor networks: Methods, models, and classifications (2007, methodology): “Among other things, the global process can be used to: (i) specify an aggregation algorithm [Madden et al. 2002; Boulis et al. 2003a; Hellerstein et al.”