Scheduling algorithms for multihop radio networks
IEEE/ACM Transactions on Networking (TON)
Journal of Computer and System Sciences
Efficient communication strategies for ad-hoc wireless networks (extended abstract)
Proceedings of the tenth annual ACM symposium on Parallel algorithms and architectures
An $\Omega(D\log (N/D))$ Lower Bound for Broadcast in Radio Networks
SIAM Journal on Computing
Deterministic broadcasting in unknown radio networks
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Fast broadcasting and gossiping in radio networks
Journal of Algorithms
Probabilistic Algorithms for the Wakeup Problem in Single-Hop Radio Networks
ISAAC '02 Proceedings of the 13th International Symposium on Algorithms and Computation
Models and Techniques for Communication in Dynamic Networks
STACS '02 Proceedings of the 19th Annual Symposium on Theoretical Aspects of Computer Science
Distributed broadcast in radio networks of unknown topology
Theoretical Computer Science
Simple Routing Strategies for Adversarial Systems
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Round Robin is optimal for fault-tolerant broadcasting on wireless networks
Journal of Parallel and Distributed Computing
Feasibility and complexity of broadcasting with random transmission failures
Proceedings of the twenty-fourth annual ACM symposium on Principles of distributed computing
Information dissemination in highly dynamic graphs
DIALM-POMC '05 Proceedings of the 2005 joint workshop on Foundations of mobile computing
Reliable Broadcast in Wireless Mobile Ad Hoc Networks
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 09
Radio communication in random graphs
Journal of Computer and System Sciences - Special issue on network algorithms 2005
Broadcasting algorithms in radio networks with unknown topology
Journal of Algorithms
Distributed computation in dynamic networks
Proceedings of the forty-second ACM symposium on Theory of computing
Broadcasting in unreliable radio networks
Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing
Dynamic networks: models and algorithms
ACM SIGACT News
Coordinated consensus in dynamic networks
Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing
Parsimonious flooding in geometric random-walks
DISC'11 Proceedings of the 25th international conference on Distributed computing
Flooding Time of Edge-Markovian Evolving Graphs
SIAM Journal on Discrete Mathematics
Journal of Computer and System Sciences
Information spreading in dynamic graphs
PODC '12 Proceedings of the 2012 ACM symposium on Principles of distributed computing
Bounded-contention coding for wireless networks in the high SNR regime
DISC'12 Proceedings of the 26th international conference on Distributed Computing
Lower bounds on information dissemination in dynamic networks
DISC'12 Proceedings of the 26th international conference on Distributed Computing
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It is reasonable to claim that almost all major questions related to radio broadcasting can be considered closed as far as static networks are considered: the network never changes during the entire protocol's execution. On the other hand, theoretical results on communication protocols in any scenario where the network topology may change during protocol's execution (i.e. a dynamic radio network) are very few. In this paper, we present a theoretical study of broadcasting in radio networks having dynamic unknown topology. The dynamic network is modeled by means of adversaries: we consider two of them. We first analyze an oblivious, memoryless random adversary that can be seen as the dynamic version of the average-case study presented by Elsasser and Gasieniec in JCSS, 2006. We then consider the deterministic worst-case adversary that, at each time slot, can make any network change (thus the strongest adversary). This is the dynamic version of the worst-case study provided by Bar-Yehuda, Goldreich and Itai in JCSS, 1992. In both cases we provide tight bounds on the completion time of randomized broadcast protocols.