Macroprogramming Spatio-temporal Event Detection and Data Collection in Wireless Sensor Networks: An Implementation and Evaluation Study
2014 47th Hawaii International Conference on System Sciences (2008)
Waikoloa, Big Island, Hawaii
Jan. 7, 2008 to Jan. 10, 2008
This paper proposes and evaluates a spatio-temporal macroprogramming paradigm for wireless sensor networks (WSNs). The proposed paradigm, called SpaceTime Oriented Programming (STOP), is designed to reduce the complexity to program event detection and data collection by specify- ing them from a global viewpoint as a whole rather than a viewpoint of sensor nodes as individuals. STOP treats space and time as first-class citizens and combines them as space- time continuum. A spacetime is a three dimensional object that consists of a two spatial dimensions and a time playing the role of the third dimension. STOP allows application de- velopers to program event detection and data collection to spacetime, and abstracts away the details in WSNs. The no- tion of spacetime provides an integrated abstraction to seam- lessly express event detection and data collection for both the past and future in arbitrary spatio-temporal resolutions. This paper describes the implementation of STOP, and evaluates the performance of applications built with STOP.
Hiroshi Wada, Pruet Boonma, Junichi Suzuki, "Macroprogramming Spatio-temporal Event Detection and Data Collection in Wireless Sensor Networks: An Implementation and Evaluation Study", 2014 47th Hawaii International Conference on System Sciences, vol. 00, no. , pp. 499, 2008, doi:10.1109/HICSS.2008.237