Self-stabilization
Computation in networks of passively mobile finite-state sensors
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
Computer
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Space complexity of self-stabilizing leader election in passively-mobile anonymous agents
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Self-stabilizing mutual exclusion and group mutual exclusion for population protocols with covering
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Tight complexity analysis of population protocols with cover times - The ZebraNet example
Theoretical Computer Science
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Distributed computing must adapt its techniques to networks of mobile agents. Indeed, we are facing new problems like the small size of memory and the lack of computational power. In this paper, we extend the results of Angluin et al (see [4,3,2,1]) by finding self-stabilizing algorithms to count the number of agents in the network. We focus on two different models of communication, with a fixed base station or with pairwise interactions. In both models we decide if there exist algorithms (probabilistic, deterministic, with k-fair adversary) to solve the self-stabilizing counting problem.