A Thesis for the Degree of Master Battery-Aware Real-Time Task Scheduling in Wireless Sensor Network
نویسندگان
چکیده
Since the lifetime of a battery directly impacts the extent and duration of sensor networks, one of the key considerations in the design of sensor networks is the ability to maximize battery lifetime. In this paper, we present (1) a task modeling methodology and (2) a battery-aware real-time task scheduling technique for sensor networks. The task modeling is achieved based on task classification in terms of the usage of resources on a micro-sensor system. For exploiting the Recovery Effect of battery, that is, strategically allocating relaxation time to the battery, the battery-aware task scheduling algorithm
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