“…In this case, algorithms such as [25] may be applied by dividing the global network into small globally rigid sub-components [31] (clusters) to reduce overall complexity. Each cluster computes its relative localization using some optimization technique.…”
Section: Global/distributed Optimization For Localizationmentioning
In this paper we provide a theoretical foundation for the problem of network localization in which some nodes know their locations and other nodes determine their locations by measuring the distances to their neighbors. We construct grounded graphs to model network localization and apply graph rigidity theory to test the conditions for unique localizability and to construct uniquely localizable networks.We further study the computational complexity of network localization and investigate a subclass of grounded graphs where localization can be computed efficiently. We conclude with a discussion of localization in sensor networks where the sensors are placed randomly.
“…In this case, algorithms such as [25] may be applied by dividing the global network into small globally rigid sub-components [31] (clusters) to reduce overall complexity. Each cluster computes its relative localization using some optimization technique.…”
Section: Global/distributed Optimization For Localizationmentioning
In this paper we provide a theoretical foundation for the problem of network localization in which some nodes know their locations and other nodes determine their locations by measuring the distances to their neighbors. We construct grounded graphs to model network localization and apply graph rigidity theory to test the conditions for unique localizability and to construct uniquely localizable networks.We further study the computational complexity of network localization and investigate a subclass of grounded graphs where localization can be computed efficiently. We conclude with a discussion of localization in sensor networks where the sensors are placed randomly.
“…They model the strength of the connection within the protein based on the 3-D Pebble Game [17], where the pebbles represent the degrees of freedom.…”
We consider a graph with n vertices, and p < n pebbles of m colors. A pebble move consists of transferring a pebble from its current host vertex to an adjacent unoccupied vertex. The problem is to move the pebbles to a given new color arrangement.We study the feasibility version of the problem -does a given instance have a solution? We use an algorithm of [6] for the problem where each pebble has a distinct color to give a linear time algorithm for the feasibility decision problem on a general graph.
“…Maxwell's rule for determining the stiffness of a structure is discussed and, as the authors mention, Maxwell realized this is only a necessary condition for a structure to be stiff. The exact condition is nontrivial to determine, but in a 2D structure xvi Foreword one can play the "pebble game" to resolve the question [3]. Maxwell's counting rule has been generalized for periodic lattices [4].…”
Section: To Ananya and Krishna To Alaa And Ismailmentioning
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.