By Magnús M. Halldórsson (auth.), Paola Flocchini, Jie Gao, Evangelos Kranakis, Friedhelm Meyer auf der Heide (eds.)
This booklet constitutes the court cases 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 provided during this quantity have been rigorously reviewed and chosen from 30 submissions. They care for sensor community algorithms, instant networks and allotted 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
Kuhn et al.  have introduced a very general model with the aim of understanding limitations and possibilities when coping with dynamics in networks, independent of speciﬁc application. In this paper, we look at special dynamics motivated by agents that move in the Euclidean plane and that are able to communicate with nearby agents only. More particularly, we look at dynamic unit disk graphs as they are often used to model ad-hoc networks or robotic networks. We are mainly interested in exploring the impact of a velocity limit of the agents on the time required to perform fundamental tasks such as token dissemination.
5 are not occupied by rows at this time. When one of the nodes v0 , vn−1 , . . , vn−≥R +3 sends the token t, one row at level 0 and all rows on levels 1, . . , 4 start moving down with maximal relative Token Dissemination in Geometric Dynamic Networks 29 Fig. 2. Construction for R ≥ 1 showing the positions of the nodes for a ﬁxed j. velocity 2vmax for the next L rounds until they reach the next level. The row from level 0 stops at level 1, but all other rows continue moving until they reach level 5, where they do not move any further and stack again.
7. Grid dimensions. construction in two provide with high probability that the number of nodes reachable in one hop is at most 10π mn2 with high probability. 1 . So, the probability that a node of a neighbor cell is activated is at least 10α Therefore, if each node is randomly activated until 10(c + 1) ln n wake up calls have been reached, this results in a probability of 1 − n−c that each cell starts at least one wake-up call, when a neighbor cell has been activated before. ∪ ∀ 6 Simulations We have simulated the epidemic random k-covered algorithms to evaluate the eﬃciency of the covered nodes and the wake-up signals needed from the source node to reach every single node in the area.