Jeremy Elson, Solomon Bien, Naim Busek, Vladimir Bychkovskiy, Alberto Cerpa, Deepak Ganesan, Lewis Girod, Ben Greenstein, Tom Schoellhammer, Thanos Stathopoulos, Deborah Estrin
Recently, increasing research attention has been directed toward wireless sensor networks: collections of small, low-power nodes, physically situated in the environment, that can intelligently deliver high-level sensing results to the user. As the community has moved into more complex design efforts --large-scale, long-lived systems that truly require self-organization and adaptivity to the environment-- a number of important software design is- sues have arisen. The data reduction process is critical for meeting energy and channel capacity constraints by preventing raw sensor time-series from being delivered. However, the lack of raw data prevents the data reduction process itself from being evaluated. Simulation is difficult to apply; the network's physical situatedness makes it sensitive to subtleties of sensors and wireless communication channels that are difficult to model. A second problem that arises is that the traditional layered protocol stack, designed to emphasize conceptual abstraction and reusability, has too high of an efficiency cost in this domain where efficiency is paramount.
Jeremy Elson, Solomon Bien, Naim Busek, Vladimir Bychkovskiy, Alberto Cerpa, Deepak Ganesan, Lewis Girod, Ben Greenstein, Tom Schoellhammer, Thanos Stathopoulos, Deborah Estrin, "EmStar: An Environment for Developing Wireless Embedded Systems Software," CENS Technical Report 0009, pp. 1--13, Center of Embedded Networked Systems (CENS), University of California, Los Angeles, March, 2003.
@TechReport{Elson03a, author = "Jeremy Elson and Solomon Bien and Naim Busek and Vladimir Bychkovskiy and Alberto Cerpa and Deepak Ganesan and Lewis Girod and Ben Greenstein and Tom Schoellhammer and Thanos Stathopoulos and Deborah Estrin", title = "EmStar: An Environment for Developing Wireless Embedded Systems Software", institution = "Center of Embedded Networked Systems (CENS)", address = "University of California, Los Angeles", year = "2003", number = "CENS Technical Report 0009", pages = "1--13", month = mar, URL = "http://www.andes.ucmerced.edu/papers/Elson03a.pdf", cited = "87", }