Tables: A Spreadsheet-Inspired Programming Model for Sensor Networks

Abstract. 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.

• Type: Conference
• Year: 2010
• Where: DCOSS
• Authors: James Horey, Eric Nelson, Arthur B. Maccabe
• Keywords: DCOSS 2010, Distributed And Parallel Computing, Programming Environment, Spreadsheet Inspired Programming, Tables Programming Environment