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Optimal location problems are important problems and are particularly useful for strategic planning of resources. However, existing studies mainly focus on computing one or k optimal locations. We study the Group OptimAl Location (GOAL) problem, which computes a minimum set of locations such that establishing facilities at these locations guarantees that every facility user can access at least one...
Grouping sensor nodes with similar readings into the same cluster and scheduling them to alternately report their sensing readings is an effective and efficient method to perform approximate data collection, which exploits the tradeoff between data quality and energy consumption. However, to partition all sensor nodes into exclusive clusters while incurring as less communication overhead as possible...
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