Energy-aware joint scheduling of tasks and messages in wireless sensor networks

We consider the problem of energy-aware joint scheduling of tasks and messages with real-time constraints in wireless networked embedded systems specifically wireless sensor networks. We use the mixed tree coloring approach in order to model the constraints and show that k-coloring of a mixed tree can be mapped to a non-conflicting schedule consisting of k time slots. Also, we propose to conduct testbed evaluation to quantify the performance of combined implementation of energy management techniques such as Dynamic Modulation Scaling (DMS) along with Dynamic Voltage Scaling (DVS).