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Proof: For any unit disk graph consider the coloring produced by Algorithm_IR via a sequence of joinings and leavings of nodes. A careful consideration of IR_Station_Join and IR_Station_Leave establishes the invariant that for each node v, COLOR(v) 1 + D(v). It follows that the algorithm uses at most 1 + D colors. Since by the prior lemma an optimal schedule utilizes at least 1 + D/13 colors, the approximation ratio follows. An alternative algorithm with a 13-approximation ratio that handles the on-line joining of stations appears in [27]. 16.4.4.3 Running Time An examination of the two procedures associated with Algorithm_IR shows that the running time for the joining or leaving of a node is bounded by O( 2 + D + D2). How are and D related Lemma 3 establishes that D is O( ) in unit disk graphs, hence: Theorem 9 For unit disk graphs, the worst case running time for the joining or leaving of a node is O( 2). The time for an arbitrary graph is O( 4). How good is this running time For coloring a unit disk graph of n nodes the running times of P_greedy and max_cont_color are both O(n ), whereas the running time for Continuous_color is O(n log n + n ). When applied in sequence to n nodes, Algorithm_IR runs in time O(n 2), which is a loss of O( ) in comparison with the centralized algorithms. But that comparison is to a single execution of P_greedy or max_cont_color. In the absence of an adaptive algorithm, the only alternative when the graph changes is to recompute the entire schedule, which requires time per change of O(n ) using P_greedy or max_cont_color. Since typically n, the O( 2) time required by Algorithm_IR is much superior for unit disk graphs. upc internet budapest UPC connect box nincs Internet - Inspiratív Kalauz
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