PicOS tuples

Abstract

The task of programming sensor-based systems comes with severe constraints on the resources, typically memory, CPU power, and energy. The challenge is usually addressed with techniques that result in poor code understandability and maintainability. In this paper, we report on a data centric language extension based on a tuple-space abstraction, akin to Linda [2], applied to PicOS [5], a programming environment for wireless sensor networks (WSN's). The extension improves state and context management in a multi-tasking environment suffering from severe memory limitations. The solution integrates tuple operations into the model -for networking, event handling, and thread contexts. We demonstrate how tuple constructs improve coding and reduce code overhead. We also show how thread's context-tuples can be used as interface arguments for extension by modular aspect constructs.

Rule-Driven Forwarding for Resilient WSN Infrastructures

“…For example, if the packet appears to be destined to the current node, the rule may pass it to the application. This qualification may be based on arbitrary characteristics of the packet, e.g., it can be associative [45] rendering traditional node addresses unnecessary.…”