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The proposed COMPARE framework consists of multiple algorithms with different complexities.
The single-path routing is considered, and only the route selected by the COMPARE framework is used for data transmission.
We check the correctness and validity of the proposed COMPARE framework in different network scenarios, i.e., sparse, dense, and mixed up.
The COMPARE framework is comprised of three main components, i.e., communication-aware route selection, link quality estimation, and position-aware optimization.
Single-path routing is considered, and only the route chosen and optimized by the COMPARE framework is used for data transmission from the source to the destination.
The router is guided to the optimal position using the feedback mobility control, and only the route selected by the COMPARE framework is used for data transmission between the source and destination node.
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There was, however, also substantial diversity among the frameworks, and our categorisation of this diversity provides an opportunity for funders to compare frameworks and potentially identify improvements (using Table 5, for example).
The understanding of the underlying rationale of a chosen model facilitates an open dialogue, may make some choices more clear and could help in comparing frameworks and strategy.
In the following, we will present and motivate the framework, and then compare the framework with related logic-based proposals.
It is interesting to compare this framework to other frameworks such as CanMEDs [ 43].
In this section, we compare our framework with the MapReduce framework of Dijkstra proposed by Aridhi et al. in [6].
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