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| Content Provider | ACM Digital Library |
|---|---|
| Author | Newton, Ryan Morrisett, Greg Welsh, Matt |
| Abstract | The development of high-level programming environments is essential if wireless sensor networks are to be accessible to non-experts. In this paper, we present the Regiment system, which consists of a high-level language for spatiotemporal macroprogramming, along with a compiler that translates global programs into node-level code. In Regiment, the programmer views the network as a set of spatially-distributed data streams. The programmer can manipulate sets of these streams that may be defined by topological or geographic relationships between nodes. Regiment provides a rich set of primitives for processing data on individual streams, manipulating regions, performing aggregation over a region, and triggering new computation within the network. In this paper, we describe the design and implementation of the Regiment language and compiler. We describe the deglobalization process that compiles a network-wide representation of the program into a node-level, event-driven program. Deglobalization maps region operations onto associated spanning trees that establish region membership and permit efficient in-network aggregation. We evaluate Regiment in the context of a complex distributed application involving rapid detection of spatially-distributed events, such as wildfires or chemical plumes. Our results show that Regiment makes it possible to develop complex sensor network applications at a global level. |
| Starting Page | 489 |
| Ending Page | 498 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781595936387 |
| DOI | 10.1145/1236360.1236422 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-04-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Functional macroprogramming Sensor networks |
| Content Type | Text |
| Resource Type | Article |
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