Algorithmic Aspects of Wireless Sensor Networks: Third by Mirosław Kutyłowski (auth.), Mirosław Kutyłowski, Jacek

By Mirosław Kutyłowski (auth.), Mirosław Kutyłowski, Jacek Cichoń, Przemysław Kubiak (eds.)

This booklet constitutes the reviewed court cases of the 3rd overseas Workshop on Algorithmic elements of instant Sensor Networks, ALGOSENSORS 2007, held in Wroclaw, Poland, July 14, 2007, in organization with ICALP 2007.

The eleven revised complete papers provided including 2 invited talks have been rigorously reviewed and chosen from 26 submissions; they're totally revised to include reviewers' reviews and discussions on the workshop. subject matters addressed are foundational and algorithmic facets of the instant sensor networks learn. particularly, ALGOSENSORS makes a speciality of summary types, complexity-theoretic effects and lower-bounds, in addition to the layout and research of algorithms for instant sensor networks.

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Additional info for Algorithmic Aspects of Wireless Sensor Networks: Third International Workshop, ALGOSENSORS 2007, Wroclaw, Poland, July 14, 2007, Revised Selected Papers

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C Springer-Verlag Berlin Heidelberg 2008 Counting Targets with Mobile Sensors 33 research problems must be solved, because the classical schemes designed for centralized and desktop computational hardware are inapplicable to the lightweight and distributed computational model of sensor nodes. The inherent limitations of the systems based on these simple devices have inspired the research community to consider the computation with a minimalistic view of hardware complexity, sensing and processing, energy supply, etc.

Learning about the geometrical nature of the environment is the problem studied in [5], where the environment is not a polygon, and it contains labeled features, which allows sensors to distinguish these landmarks. 2 The Friendly Environment In this section we show that in a friendly environment a robot with two pebbles can count the targets in any simply or multiply connected polygon. We consider simply-connected polygons first. In the beginning the robot counts n, the number of vertices of the polygon: the robot leaves a pebble on the starting vertex and walks around the polygon’s boundary, counting the vertices until it returns to the pebble.

For both enhancements we present algorithms that allow robots to count the number of targets inside the polygon P . Partition of the Polygon and Counting. The algorithms are based on the idea of partitioning the polygon into triangles and counting the targets in these triangles exactly. To illustrate the idea, consider a partition of P into triangles Counting Targets with Mobile Sensors 41 having their vertices on the boundary of P with the property that every triangle has at least one side on the boundary of P .

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