1,087 research outputs found

    Leader Election for Anonymous Asynchronous Agents in Arbitrary Networks

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    We study the problem of leader election among mobile agents operating in an arbitrary network modeled as an undirected graph. Nodes of the network are unlabeled and all agents are identical. Hence the only way to elect a leader among agents is by exploiting asymmetries in their initial positions in the graph. Agents do not know the graph or their positions in it, hence they must gain this knowledge by navigating in the graph and share it with other agents to accomplish leader election. This can be done using meetings of agents, which is difficult because of their asynchronous nature: an adversary has total control over the speed of agents. When can a leader be elected in this adversarial scenario and how to do it? We give a complete answer to this question by characterizing all initial configurations for which leader election is possible and by constructing an algorithm that accomplishes leader election for all configurations for which this can be done

    Leader Election in Anonymous Rings: Franklin Goes Probabilistic

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    We present a probabilistic leader election algorithm for anonymous, bidirectional, asynchronous rings. It is based on an algorithm from Franklin, augmented with random identity selection, hop counters to detect identity clashes, and round numbers modulo 2. As a result, the algorithm is finite-state, so that various model checking techniques can be employed to verify its correctness, that is, eventually a unique leader is elected with probability one. We also sketch a formal correctness proof of the algorithm for rings with arbitrary size

    Distinguishing Views in Symmetric Networks: A Tight Lower Bound

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    The view of a node in a port-labeled network is an infinite tree encoding all walks in the network originating from this node. We prove that for any integers n≄D≄1n\geq D\geq 1, there exists a port-labeled network with at most nn nodes and diameter at most DD which contains a pair of nodes whose (infinite) views are different, but whose views truncated to depth Ω(Dlog⁥(n/D))\Omega(D\log (n/D)) are identical

    Time vs. Information Tradeoffs for Leader Election in Anonymous Trees

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    The leader election task calls for all nodes of a network to agree on a single node. If the nodes of the network are anonymous, the task of leader election is formulated as follows: every node vv of the network must output a simple path, coded as a sequence of port numbers, such that all these paths end at a common node, the leader. In this paper, we study deterministic leader election in anonymous trees. Our aim is to establish tradeoffs between the allocated time τ\tau and the amount of information that has to be given a priori\textit{a priori} to the nodes to enable leader election in time τ\tau in all trees for which leader election in this time is at all possible. Following the framework of algorithms with advice\textit{algorithms with advice}, this information (a single binary string) is provided to all nodes at the start by an oracle knowing the entire tree. The length of this string is called the size of advice\textit{size of advice}. For an allocated time τ\tau, we give upper and lower bounds on the minimum size of advice sufficient to perform leader election in time τ\tau. We consider nn-node trees of diameter diam≀Ddiam \leq D. While leader election in time diamdiam can be performed without any advice, for time diam−1diam-1 we give tight upper and lower bounds of Θ(log⁥D)\Theta (\log D). For time diam−2diam-2 we give tight upper and lower bounds of Θ(log⁥D)\Theta (\log D) for even values of diamdiam, and tight upper and lower bounds of Θ(log⁥n)\Theta (\log n) for odd values of diamdiam. For the time interval [ÎČ⋅diam,diam−3][\beta \cdot diam, diam-3] for constant ÎČ>1/2\beta >1/2, we prove an upper bound of O(nlog⁥nD)O(\frac{n\log n}{D}) and a lower bound of Ω(nD)\Omega(\frac{n}{D}), the latter being valid whenever diamdiam is odd or when the time is at most diam−4diam-4. Finally, for time α⋅diam\alpha \cdot diam for any constant α<1/2\alpha <1/2 (except for the case of very small diameters), we give tight upper and lower bounds of Θ(n)\Theta (n)
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