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Distributed Computing in Sensor Systems: First IEEE by Christos H. Papadimitriou (auth.), Viktor K. Prasanna,

By Christos H. Papadimitriou (auth.), Viktor K. Prasanna, Sitharama S. Iyengar, Paul G. Spirakis, Matt Welsh (eds.)

The ebook constitutes the refereed complaints of the 1st foreign convention on disbursed Computing in Sensor platforms, DCOSS 2005, held in Marina del Rey, California, united states in June/July 2005.

The 26 revised complete papers provided have been rigorously reviewed and chosen from eighty five submissions; additionally incorporated are the abstracts of three invited talks, 2 brief papers, nine invited poster abstracts, and 10 contributed abstracts.The papers deal with all present features of dispensed computing matters in large-scale networked sensor platforms, together with systematic layout recommendations and instruments, algorithms, and applications.

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Additional info for Distributed Computing in Sensor Systems: First IEEE International Conference, DCOSS 2005, Marina del Rey, CA, USA, June 30 – July 1, 2005. Proceedings

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For each node in the bottom level, we only maintained its parent in S1 . The unit distance in the modified D -S PANNER we maintained was 16 miles. e. air planes within its 48 miles radius. 1. We found that on average there were about 14,000 edges in the modified D -S PANNER. 15 on average. Note that since there were many implicit edges, if we considered the entire D -S PANNER with all those implicit edges, the spanning ratio would be much lower. Because we took a large value as the unit radius, the maintenance of the structure was relatively cheap.

Then, when a data is handled by a sensor belonging to the i-th slice the amount of consumed energy is a constant (assumed to be 1 for convenience) with probability pi and i2 with probability 1 − pi . By definition we have p1 = 1 because sensors belonging to the first slice can do nothing else than transmitting to the sink. The number of sensors belonging to the i-th slice is denoted by Si . It might be the case that there is a strong relationship between Si , λi but this is not essential. The total energy available at the i-th slice is denoted by Ei , thus ei = Ei /Si is the available energy per sensor.

In both algorithms, after round 60, nodes are deployed evenly and their √ average distance is close to 3r. Most nodes do not need to move except minor adjustments. As shown in Figure 7, after round 60, most nodes form the equilateral triangle layout. There are no obvious changes between the layout of round 60 and that of round 80, because the layout of nodes is already very close to the ideal equilateral triangular layout after round 60. In addition, from total coverage area of both algorithms, we also calculate optimum average moving distances and plot them in Figure 6(b).

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