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As a first application, we study a problem of communication with the disturbance constraint where the goal is to maximize the communication rate at the intended/primary receiver subject to a disturbance constraint at the unintended/secondary receiver.
Due to the hopeful application of gathering information from unreachable position, wireless sensor network creates an immense challenge for data routing to maximize the communication with more energy efficiency.
We also present the optimization of various system parameters, such as detector size (i.e., receiver field of view), PPM slot width, and the PPM order M, to mitigate the atmospheric turbulence and background noise effects, and to maximize the communication system performance.
The work proposed in this paper considers a methodology to maximize the communication rate through custom physical layer signaling, subject to hardware, and regulatory constraints.
Our goal is to maximize the communication rate of the secondary users while ensuring that the primary users have a minimum QoS, defined in terms of a minimum rate R 1 ⋆.
Our goal is again to maximize the communication rate of the secondary users while ensuring that the primary users have a minimum QoS, defined in terms of a minimum rate R 1 ⋆.
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The goal is to exploit the locally measured states of the TCP/IP connections, in order to maximize the overall communication-plus-computing energy efficiency, while meeting the application-induced hard QoS requirements on the minimum transmission rates, maximum delays and delay-jitters.
Acoustic signals are often designed to maximize the range of communication and to minimize degradation in particular environments such as forests and open areas.
Thus, in collaborative tasks, people don't rely exclusively on their spatial memory but also use other pertinent perceptual information (e.g., their misalignment from their partner) to assess the computational demands on each partner and select strategies that maximize the efficiency of communication.
This is to maximize the number of communication (calls) but with a limited number of frequencies.
Educators can observe human learning through the lens of dCoG to create digitally enhanced learning experiences that maximize the interaction and communication of people, their environment and tools (e.g. hands-on activities, simulators, games).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com