Almost Logarithmic-Time Space Optimal Leader Election in Population Protocols

The model of population protocols refers to a large collection of simple indistinguishable entities, frequently called agents. The agents communicate and perform computation through pairwise interactions. We study fast and space efficient leader election in population of cardinality n governed by a random scheduler, where during each time step the scheduler uniformly at random selects for interaction exactly one pair of agents. We present the first o(log(2))-time leader election protocol. It operates in expected parallel time O(logn log logn) which is equivalent to O(n logn log logn) pairwise interactions. This is the fastest currently known leader election algorithm in which each agent utilises asymptotically optimal number of O(log logn) states. The new protocol incorporates and amalgamates successfully the power of assorted synthetic coins with variable rate phase clocks.