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random contention-based resource allocation protocol.
In our proposed work we discuss a design of resource allocation protocol and its performance evaluation.
Resource allocation protocol for intentional DTN (RAPID) is also another example of this approach[17].
In the framework, TAPs consist of three component-protocols: (1) Task Requirement Analysis Protocol, (2) Shared Resource Allocation Protocol, and (3) Synchronization and Time-Out Protocol.
Finally, we summarize some of our recent work in the area and discuss some of the remaining research challenges towards the development of a complete optimization-based resource allocation protocol.
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Moreover, our dual decomposition approach may be used for designing optimal resource allocation protocols, as discussed later in this article.
Furthermore, we discuss how our dual decomposition approach may be used for designing optimal resource allocation protocols.
As a result, this approach may be used for the design of resource allocation protocols, e.g., by considering utility maximization problems with concave utility functions.
For example, in many wireless resource allocation protocols, transmission power, bandwidth and data rate can all be determined based on channel state information obtained through feedbacks [5, 7, 11].
On the one hand, the decoupling of the phases considerably simplifies the optimization, but on the other, we want to know the optimal rate vector r ⋆ and possibly the optimal time shares τ i ⋆, e.g., for the purpose of designing resource allocation protocols.
At present, the research achievements on the MAC protocol for underwater acoustic sensor networks are divided into MAC protocol for resource allocation and MAC protocol for resource competition [1].
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