Maté: a tiny virtual machine for sensor networks
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
The nesC language: A holistic approach to networked embedded systems
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
The dynamic behavior of a data dissemination protocol for network programming at scale
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A dynamic operating system for sensor nodes
Proceedings of the 3rd international conference on Mobile systems, applications, and services
VMSTAR: synthesizing scalable runtime environments for sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
DAViM: a dynamically adaptable virtual machine for sensor networks
Proceedings of the international workshop on Middleware for sensor networks
Multi-level software reconfiguration for sensor networks
EMSOFT '06 Proceedings of the 6th ACM & IEEE International conference on Embedded software
t-kernel: providing reliable OS support to wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Run-time dynamic linking for reprogramming wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
The regiment macroprogramming system
Proceedings of the 6th international conference on Information processing in sensor networks
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
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An application for a reconfigurable virtual machine for wireless sensor networks consists of both bytecode and native code. Identifying the abstraction boundary between byte-code and native code has not been addressed systematically, yet. Up to now, a programmer has to specify the abstraction boundary manually without being able to judge his decision. We present a mathematical model for benchmarking the energy consumption of bytecode and native code. This model allows a founded specification of the abstraction boundary. In conjunction with an extended reconfigurable virtual machine architecture, it provides a flexible development method with less development effort than existing approaches.