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- Arik Motskin, Tim Roughgarden, Primoz Skraba, Leonidas J. Guibas
- INFOCOM
- 2009

We study the distributed desynchronization problem for graphs with arbitrary topology. Motivated by the severe computational limitations of sensor networks, we present a randomized algorithm for network desynchronization that uses an extremely lightweight model of computation, while being robust to link volatility and node failure. These techniques also… (More)

- Lawrence M Wein, Yifan Liu, Arik Motskin
- Risk analysis : an official publication of the…
- 2009

We develop a mathematical optimization model at the intersection of homeland security and immigration, that chooses various immigration enforcement decision variables to minimize the probability that a terrorist can successfully enter the United States across the U.S.-Mexico border. Included are a discrete choice model for the probability that a potential… (More)

- Arik Motskin, Ian Downes, Branislav Kusy, Omprakash Gnawali, Leonidas J. Guibas
- INFOCOM
- 2011

We consider the problem of distributing timesensitive information from a collection of sources to mobile users traversing a wireless mesh network. Our strategy is to distributively select a set of well-placed nodes (warehouses) to act as intermediaries between the information sources and clusters of users. Warehouses are selected via the distributed… (More)

- HyungJune Lee, Hyukjoon Kwon, Arik Motskin, Leonidas J. Guibas
- INFOCOM
- 2009

We propose an interference-aware MAC protocol using a simple transmission strategy motivated by a gametheoretic approach. We formulate a channel access game, which considers nodes concurrently transmitting in nearby clusters, incorporating a realistic wireless communication model the SINR model. Under inter-cluster interference, we derive a decentralized… (More)

We propose algorithms for efficiently maintaining a constant-approximate minimum connected dominating set (MCDS) of a geometric graph under node insertions and deletions. Assuming that two nodes are adjacent in the graph iff they are within a fixed geometric distance, we show that an O(1)-approximate MCDS of a graph in R d with n nodes can be maintained… (More)

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