2020
DOI: 10.1142/s012962642050005x
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Leader Election Requires Logarithmic Time in Population Protocols

Abstract: In this paper, it is shown that any leader election problem requires logarithmic stabilization time in the population protocol model. This lower bound holds even if each agent has knowledge of the exact size of a population and we can use arbitrarily large number of agent states. This lower bound concludes that the protocol given in [Sudo et al., PODC 2019] is optimal in terms of stabilization time.

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Cited by 14 publications
(22 citation statements)
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References 14 publications
(18 reference statements)
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“…Stabilization Time [Ang+06] O(1) O(n) [AG15] O(log 3 n) O(log 3 n) [Ali+17] O(log 2 n) O(log 5.3 n · log log n) [AAG18] O(log n) O(log 2 n) [GS18] O(log log n) O(log 2 n) [GSU18] O(log log n) O(log n · log log n) [MST18] O(n) O(log n) This work O(log n) O(log n) O(1) Ω(n) [Ali+17] < 1/2 log log n Ω(n/(polylog n)) [SM19] any large Ω(log n)…”
Section: Statesmentioning
confidence: 99%
See 2 more Smart Citations
“…Stabilization Time [Ang+06] O(1) O(n) [AG15] O(log 3 n) O(log 3 n) [Ali+17] O(log 2 n) O(log 5.3 n · log log n) [AAG18] O(log n) O(log 2 n) [GS18] O(log log n) O(log 2 n) [GSU18] O(log log n) O(log n · log log n) [MST18] O(n) O(log n) This work O(log n) O(log n) O(1) Ω(n) [Ali+17] < 1/2 log log n Ω(n/(polylog n)) [SM19] any large Ω(log n)…”
Section: Statesmentioning
confidence: 99%
“…The stabilization time of [MST18] is optimal; any leader election algorithm requires Ω(log n) parallel time if it uses any large number of states and assumes the exact knowledge of population size n [SM19]. At the beginning of an execution, all the agents are in the same initial state specified by a protocol.…”
Section: Statesmentioning
confidence: 99%
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“…Agents are strongly anonymous: they do not have identifiers and they cannot distinguish their neighbors with the same states. As with the majority of studies on population protocols [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], we assume that the network of agents is a complete graph and that the scheduler selects an interacting pair of agents at each step uniformly at random.…”
Section: Introductionmentioning
confidence: 99%
“…The stabilization time of [9] is optimal; any leader election protocol requires Vðlog nÞ parallel time even if it uses any large number of states and assumes the exact knowledge of population size n [11]. At the beginning of an execution, all the agents are in the same initial state specified by a protocol.…”
Section: Introductionmentioning
confidence: 99%