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DCOSS
2008
Springer

Energy-Efficient Task Mapping for Data-Driven Sensor Network Macroprogramming

10 years 1 months ago
Energy-Efficient Task Mapping for Data-Driven Sensor Network Macroprogramming
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an energy-efficient initial placement of these tasks onto the nodes of the target network poses a set of interesting problems. We present a framework to model this task-mapping problem arising in WSN macroprogramming. Our model can capture task placement constraints, and supports easy specification of energy-based optimization goals. Using our framework, we provide mathematical formulations for the task-mapping problem for two different metrics -- energy balance and total energy spent. Due to the complex nature of the problems, these formulations are not linear. We provide linearization heuristics for the same, resulting in mixed-integer programming (MIP) formulations. We also provide efficient heuristics for the above. Our experiments show that the our heuristics give the same results as the MIP for real-world s...
Animesh Pathak, Viktor K. Prasanna
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where DCOSS
Authors Animesh Pathak, Viktor K. Prasanna
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