Self-stabilization
Computation in networks of passively mobile finite-state sensors
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
When birds die: making population protocols fault-tolerant
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Fast computation by population protocols with a leader
DISC'06 Proceedings of the 20th international conference on Distributed Computing
Self-stabilizing population protocols
OPODIS'05 Proceedings of the 9th international conference on Principles of Distributed Systems
Theoretical Computer Science
Passively mobile communicating machines that use restricted space
FOMC '11 Proceedings of the 7th ACM ACM SIGACT/SIGMOBILE International Workshop on Foundations of Mobile Computing
Passively mobile communicating machines that use restricted space
Theoretical Computer Science
Self-stabilizing consensus average algorithm in distributed sensor networks
Transactions on Large-Scale Data- and Knowledge-centered systems IX
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Distributed computing has to adapt its techniques to mobile sensor networks and cope with constraints like small memory size or lack of computation power. In this paper we extend the results of Angluin et al (see [1,2,3,4]) 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 antenna 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.