Technical Report: DCC-2010-01
A Semantically Robust Framework for Programming Wireless Sensor Networks
Luís Lopes
CRACS & INESC-Porto/DCC-FCUP
E-mail: lblopes@dcc.fc.up.pt
Francisco Martins
LASIGE/DI-FCUL
E-mail: fmartins@di.fc.ul.pt
March 2010
Abstract
Programming and debugging wireless sensor networks is a hard task,
not only due to the fragility and volatile nature of the hardware,
but also, on a very fundamental level, due to deficiencies in the
current programming tools. In this paper we propose a distinct
approach to the design and implementation of programming languages
for wireless sensor networks. We argue that such languages should be
type-safe as this allows an appropriate compiler to prematurely
(statically) detect programs that otherwise would produce run-time
errors. Moreover, we argue that the specifications for the language
run-times should be proved to preserve the language semantics, thus
removing a semantic gap that can be observed in current systems. We
present a type-safe core programming language for sensor networks
called Callas and provide a specification for a virtual machine for
it. We prove that the virtual machine preserves the programming
language semantics. This establishes Callas as a robust semantic
framework for designing and implementing higher level programming
languages for wireless sensor networks.