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

International 1

By Roger Wattenhofer (auth.), Sándor P. Fekete (eds.)

ISBN-10: 3540928618

ISBN-13: 9783540928614

ISBN-10: 3540928626

ISBN-13: 9783540928621

This e-book constitutes the reviewed lawsuits 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 aimed toward bringing jointly study contributions on the topic of varied algorithmic and complexity-theoretic elements of instant sensor networks. the themes comprise yet are usually not restricted to optimization difficulties, noise and likelihood, robots and excursions.

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Additional resources for Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, ALGOSENSORS 2008, Reykjavik, Iceland, July 2008. Revised Selected Papers

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This introduces another constraint: z k − z j = ci (2) We have one such constraint for each sensor. Any assignment of zi ’s satisfying these constraints, together with z1 = 0, corresponds to a feasible placement of targets for our problem. In particular, a feasible solution can be obtained by placing zi − zi−1 targets spaced equally between points pi−1 and pi , for 2 ≤ i ≤ 2n. The set of constraints described above can be solved as an integer linear program. Unfortunately, in general, integer linear programming is NP-Hard.

2 we show the stronger result that FWgp is also hard to approximate, namely for any ∈ (0, 1) there is a lower bound of Ω(m1− ) on the approximation ratio (m is the number of packets). We notice that this is a stronger inapproximability result than the one we obtained for the maximum flow time minimization problem [6]. The construction of both results have many similarities though, both being based on the same reduction. 2. 1 we propose an online polynomial time algorithm based on the Shortest Remaining Processing Time first rule.

In such settings, a tracking algorithm is forced to interpolate the motion across snapshots, and therefore must solve the target counting and localization problem considered here. 34 S. Gandhi, R. Kumar, and S. Suri We begin our discussion by considering the problem in a one-dimensional setting. We imagine targets as points arranged on a line, and a collection of sensors, each with a unit-interval sensing range. It turns out that the exact counting of targets is non-trivial even in this simple setting, and leads to some interesting results.

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Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, ALGOSENSORS 2008, Reykjavik, Iceland, July 2008. Revised Selected Papers by Roger Wattenhofer (auth.), Sándor P. Fekete (eds.)


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