Algorithmic Aspects of Wireless Sensor Networks: Fourth - download pdf or read online

By Sandor P. Fekete

ISBN-10: 3540928618

ISBN-13: 9783540928614

This publication constitutes the reviewed complaints of the Fourth foreign Workshop on Algorithmic points of instant Sensor Networks, ALGOSENSORS 2008, held in Reykjavik, Iceland, Wroclaw, Poland, July 12, 2008. The workshops geared toward bringing jointly learn contributions regarding diversified algorithmic and complexity-theoretic features of instant sensor networks. the subjects comprise yet aren't constrained 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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Under these restriction it is not possible to compute and run a time-optimal 48 B. Katz, S. Mecke, and D. Wagner schedule in which each packet is immediately passed to the sink once it has started from its originating node. Proof. Let r be the sink node. During the set-up stage, r has only received |C(v)|c log N bits for some constant c. For every packet arriving at r during the collection stage, the height of the originating node can be determined by the time since the arrival of the previous packet.

Thus, for arbitrary arrangements of sensors and targets, no algorithm can determine the target count precisely. √ Fortunately, it turns out that this is the worst possible scenario, and the 2 approximation of the target count is possible for any (adversarial) placement of targets and sensors in 1-dimension. 1 Target Count Approximation Let S = {s1 , s2 , . . , sn } denote the set of sensors, and let C = {c1 , c2 , . . , cn } denote their sensing counts; that is, ci is the number of targets detected by si in its range.

A line in the sand: A wireless sensor network for target detection, classification, and tracking. Computer Networks (2004) 2. : Tracking a moving object with a binary sensor network. In: SENSYS (2003) 3. : Probabilistic detection of mobile targets in heterogeneous sensor networks. In: IPSN (2007) 4. : Tracking on a graph. In: IPSN (2005) 5. : Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms. In: SENSYS (2006) 6. : Tracking multiple targets using binary proximity sensors.

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Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, Algosensors 2008, Reykjavik, Iceland, July 2008. Revised Selected Pape ... Computer Science Computer Communication N) by Sandor P. Fekete


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