Download Algorithmic Aspects of Wireless Sensor Networks: Fourth by Sandor P. Fekete PDF

By Sandor P. Fekete

ISBN-10: 3540928618

ISBN-13: 9783540928614

This publication constitutes the reviewed lawsuits of the Fourth overseas Workshop on Algorithmic points of instant Sensor Networks, ALGOSENSORS 2008, held in Reykjavik, Iceland, Wroclaw, Poland, July 12, 2008. The workshops aimed toward bringing jointly examine contributions concerning various algorithmic and complexity-theoretic elements of instant sensor networks. the themes contain yet should not restricted to optimization difficulties, noise and chance, robots and excursions.

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Extra resources for Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, Algosensors 2008, Reykjavik, Iceland, July 2008. Revised Selected Pape ... Computer Science Computer Communication N)

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This aims at distributing slots more fairly: Nodes with high 46 B. Katz, S. Mecke, and D. Wagner loads get more slots. In [9] further refinement of slot distribution strategies are developed. But even with these refinements, the channel usage is still fairly low and decreases with growing network size. In the same paper, there is another scheme (similar to ours in Section 2) which, however, leads to unlimited buffer size and the control message overhead is not analyzed. DOZER ([10]) is an approach that tries to solve the problems of medium access, tree construction and scheduling together.

Z2n } with the sorted set P = {p1 , p2 , . . , p2n } of start and end point of the sensor ranges, where, as for ideal sensors, zi denotes the number of points to the left of point pi . We now show that a feasible target placement can be obtained even for non-ideal sensors, Theorem 5. Given a set of n non-ideal sensors and their readings, we can find a placement for targets in the network which satisfies all sensor readings. Of course, both the target placement as well as the number of targets estimated may be different from the ones found using non-noisy counts, but the approximations are guaranteed to be within the range of accuracy given by our theorems.

Suri Fig. 1. The two scenarios have identical sensory information: each sensor detects 1 target, yet the total number of targets is different in the two cases reliably counts the number of distinct targets in its range. Even with such idealization, it is easy to see that our minimal sensing model does not have enough information to accurately count targets even in 1-dimension. Figure 1 shows an example of two scenarios with two sensors. The sensory information of both sensors is identical in the two scenarios: both sensors detect 1 target.

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