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Title: Tables: A Spreadsheet-Inspired Programming Model for Sensor Networks

Conference ·
OSTI ID:982392

Current programming interfaces for sensor networks often target experienced developers and lack important features. Tables is a spreadsheet inspired programming environment that enables rapid development of complex applications by a wide range of users. Tables emphasizes ease-of-use by employing spreadsheet abstractions, including pivot tables and data-driven functions. Using these tools, users are able to construct applications that incorporate local and collective computation and communication. We evaluate the design and implementation of Tables on the TelosB platform, and show how Tables can be used to construct data monitoring, classification, and object tracking applications. We discuss the relative computation, memory, and network overhead imposed by the Tables environment. With this evaluation, we show that the Tables programming environment represents a feasible alternative to existing programming systems.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
Work for Others (WFO)
DOE Contract Number:
DE-AC05-00OR22725
OSTI ID:
982392
Resource Relation:
Conference: International Conference on Distributed Computing in Sensor Systems, Santa Barbara, CA, USA, 20100621, 20100621
Country of Publication:
United States
Language:
English