Paper Info
Title
Building up to macroprogramming: an intermediate language for sensor networks
Abstract
There is widespread agreement that a higher level programming model for sensor networks is needed. A variety of models have been developed, but the community is far from consensus. We propose an intermediate language to speed up the exploration of this design space. Our language, called the token machine language (TML) can be targeted by compilers for higher level systems. TML provides a layer of abstraction for a lower-level runtime environment, such as TinyOS. TML is intended to capture coordinated activity in a sensor network. Notable features of TML are its atomic action model of concurrency, and its unification of communication, control, and storage around the concept of a token. Tokens are small objects, typically under a hundred bytes, and can be disseminated across the network. A token causes computation upon its arrival at a site by invoking a token handler. The effect of the computation is to atomically change the token's own state as well as the state of shared variables at the site.
Year
DOI
Venue
2005
10.1109/IPSN.2005.1440891
IPSN
Keywords
Field
DocType
intermediate language,higher level programming model,design space,atomic action model,token handler,token causes computation,own state,token machine language,sensor network,higher level system,artificial intelligence,atomic layer deposition,high level languages,intelligent sensors,wireless sensor networks,computer science,concurrent computing
Programming paradigm,Computer science,Concurrency,Computer network,Real-time computing,Compiler,High-level programming language,Concurrent computing,Abstraction layer,Security token,Wireless sensor network,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7803-9202-7
26
1.95
References 
Authors
14
3
Name
Order
Citations
PageRank
Ryan Newton180270.80
Arvind21696210.38
Matt Welsh37657599.18