By Magnús M. Halldórsson (auth.), Paola Flocchini, Jie Gao, Evangelos Kranakis, Friedhelm Meyer auf der Heide (eds.)
This e-book constitutes the lawsuits of the ninth foreign Symposium on Algorithms for Sensor platforms, instant advert Hoc Networks and independent cellular Entities, ALGOSENSORS 2013, held in Sophia Antipolis, France, in September 2013. the nineteen papers awarded during this quantity have been conscientiously reviewed and chosen from 30 submissions. They care for sensor community algorithms, instant networks and dispensed robotics algorithms; and experimental algorithms.
Read Online or Download 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 PDF
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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
Then, a decision needs to be taken which of the neighbored sensors is allowed to send the next wake-up signal. Since normal data communication consumes only little energy compared to the wake-up signal, we can assume that all active nodes are aware of each other. Furthermore, the information which sensor received a wake-up signal is available to us, even if the sensor has already been woken up. The question is now, can we wake up all nodes with minimal number of wake-up signals. This is what we address as the wake-up minimum connected dominating set problem in unit disk graphs.
We have simulated this for the above parameters for increasing density. For this, we increase the number of nodes from 1 to 2,000. Figure 10 shows that for k = 1 the ratio of uncovered nodes is relatively high compared to the set of nodes which can be reached, this percentage is displayed as the result of the ﬂooding algorithm. Increasing k ameliorates this behavior. For high node density all algorithms reach nearly a full coverage. For k = 1 a coverage of 95 % happens when 350 nodes are participating, for k ≤ 2 this already happens for 250 nodes.
The question is now, can we wake up all nodes with minimal number of wake-up signals. This is what we address as the wake-up minimum connected dominating set problem in unit disk graphs. In this variant the positions of the woken up nodes become available as soon as they are awake. For the wake-up positionaware minimum connected dominating set problem in unit disk graphs positions are not known at all. 2 Related Work The new wake-up receivers developed by Gamm et al. in  give us an alternative to the concept of duty cycles for awaiting incoming messages in wireless sensor networks.