3 research outputs found
The Cost of Global Broadcast in Dynamic Radio Networks
We study the single-message broadcast problem in dynamic radio networks. We
show that the time complexity of the problem depends on the amount of stability
and connectivity of the dynamic network topology and on the adaptiveness of the
adversary providing the dynamic topology. More formally, we model communication
using the standard graph-based radio network model. To model the dynamic
network, we use a generalization of the synchronous dynamic graph model
introduced in [Kuhn et al., STOC 2010]. For integer parameters and
, we call a dynamic graph -interval -connected if for every
interval of consecutive rounds, there exists a -vertex-connected stable
subgraph. Further, for an integer parameter , we say that the
adversary providing the dynamic network is -oblivious if for constructing
the graph of some round , the adversary has access to all the randomness
(and states) of the algorithm up to round .
As our main result, we show that for any , any , and any
, for a -oblivious adversary, there is a distributed
algorithm to broadcast a single message in time
. We further show that even for large interval -connectivity,
efficient broadcast is not possible for the usual adaptive adversaries. For a
-oblivious adversary, we show that even for any (for any constant ) and for any , global broadcast in -interval -connected networks requires at least
time. Further, for a oblivious adversary,
broadcast cannot be solved in -interval -connected networks as long as
.Comment: 17 pages, conference version appeared in OPODIS 201
Optimal gossiping in geometric radio networks in the presence of dynamical faults
We study deterministic fault-tolerant gossiping protocols in geometric radio networks. Node and link faults may happen during every time-slot of the protocol's execution. We first consider the model where every node can send at most one message per time-slot. We provide a protocol that completes gossiping in O(nΔ) time (where n is the number of nodes and Δ is the maximal in-degree) and has message complexity O(n 2). Both bounds are then shown to be optimal. Second, we consider the model where messages can be arbitrarily combined and sent in one time-slot. We give a protocol working in optimal completion time O(DΔ) (where D is the maximal source eccentricity) and message complexity O(Dn). © 2012 Wiley Periodicals, Inc. NETWORKS, Vol. 2012 Copyright © 2012 Wiley Periodicals, Inc