Download Algorithms for Sensor Systems: 9th International Symposium by Magnús M. Halldórsson (auth.), Paola Flocchini, Jie Gao, PDF

By Magnús M. Halldórsson (auth.), Paola Flocchini, Jie Gao, Evangelos Kranakis, Friedhelm Meyer auf der Heide (eds.)

This ebook constitutes the lawsuits of the ninth overseas Symposium on Algorithms for Sensor platforms, instant advert Hoc Networks and self sufficient cellular Entities, ALGOSENSORS 2013, held in Sophia Antipolis, France, in September 2013. the nineteen papers offered during this quantity have been rigorously reviewed and chosen from 30 submissions. They care for sensor community algorithms, instant networks and dispensed robotics algorithms; and experimental algorithms.

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Additional info for Algorithms for Sensor Systems: 9th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics, ALGOSENSORS 2013, Sophia Antipolis, France, September 5-6, 2013, Revised Selected Papers

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DISC 2012. LNCS, vol. 7611, pp. 136–150. de Abstract. Recently developed wake-up receivers pose a viable alternative for duty-cycling in wireless sensor networks. Here, a special radio signal can wake up close-by nodes. We model the wake-up range by the unit-disk graph. Such wake-up radio signals are very energy expensive and limited in range. Therefore, the number of signals must be minimized. So, we revisit the Connected Dominating Set (CDS) problem for unit-disk graphs and consider an online variant, where starting from an initial node all nodes need to be woken up, while the online algorithm knows only the nodes woken up so far and has no information about the number and location of the sleeping nodes.

For T, C ← 1, in a T -interval connected dynamic network with arbitrarily changing edges where the stable subgraph is C-connected, the algorithms by Kuhn et al. , they need Θ(n(n + k) · T −1 · C −1 ) rounds for k-token dissemination and Θ(n2 · T −1 · C −1 ) rounds for counting. Note that it is assumed that T and C are known by the nodes. Furthermore, we would like to stress that it is not enough that G(r) is C-connected in each 2 Note that n is not known by the nodes beforehand but as described by Kuhn et al.

1− c ln n n n ∈ e−c ln n = n−c (1) We have used (1 − 1/m)m ∈ 1/e for m > 0. By the union bound the probability ∪ ∀ that any of cell is empty is therefore at most n−c+1 . Note that when the node density is decreased only by a constant factor, that the unit disk graphs becomes disconnected [11] and there is no solution for CDS. 2 41 A Competitive Algorithm with Respect to a Weaker Adversary We have seen that for non-randomized placement the wake-up variant cannot compete with the offline version, which can be seen as an adversary which places the sleeping nodes in the area outside of the wake up signals.

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