In this paper, we propose a novel coverage-adaptive random sensor scheduling for application-aware data-gathering in wireless sensor networks, with a goal to maximize the network lifetime.
As custom multicore architectures become more and more common for DSP applications, instruction selection and scheduling for such applications and architectures become important topics.
Be sure to check with your state's and/or school's financial aid website or office for a schedule of application deadlines and required forms.
We propose a novel packet scheduling algorithm with history support, LLEPS, to ensure low latency and efficient packet scheduling for streaming applications via monitoring the behavior of queues and traffics.
In that direction, the first author's group has made efforts toward profiling power consumption of different types of functionalities, and developing power-aware scheduling for mobile applications [29].
A resource joint scheduling algorithm (RJSA) for application layer and network layer resource is proposed and implemented based on SOGE framework.
Subjects were also randomized to a daily patch rotation schedule for six application sites (i.e., abdomen, thigh, hip, flank, shoulder, or upper arm), except for days 12 14, when each participant used one specific body site for patch application [ 23].
For instance, the following context features are relevant for scheduling: Application window state: whether an application is currently displayed in the foreground Type of application: for instance interactive applications or system applications without user interface Type of request: whether the requested data is for caching or it is to be displayed immediately.
These processors have optimized instruction sets and improved architectures for better task scheduling for sensor network applications.
This paper presents a rapid-convergent sliding mode proportional-integral (PI) technology with fuzzy gain scheduling for hydrogen energy applications.
Despite these advances, significant challenges remain in the identification of optimal cellular targets, antibody forms and treatment schedules for therapeutic applications.
