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

By Sandor P. Fekete

ISBN-10: 3540928618

ISBN-13: 9783540928614

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

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The components are ordered so that maxj∈Ti Cj < mink∈Ti+1 Ck for each i; by definition of a component such an ordering exists. Let S(i) = ∪h=i Th , for 1 ≤ i ≤ . We define ti := minj∈S(i) (rj + δj /σ), the earliest possible arrival time of any packet in S(i), and ti := max{rj : j ∈ S(i) and rj + δj /σ = ti }, the maximum release date of a packet in S(i) with earliest possible arrival time ti . Consider the following set of packets, for ti ≤ t ≤ ti : Mi (t) = {j ∈ S(i) : rj ≤ t and d(vjt , s) ≤ d(vkt , s) for all k ∈ S(i)}, Note that |Mi (t)| ≥ 1 for ti ≤ t ≤ ti , because no packet in S(i) arrives at the sink before round ti .

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. As r is only allowed to be awake when packets arrive, it must know the times of arrival in advance. This is equivalent to knowing the heights {h1 , h2 , . . , hn } of the packets in advance. There are, however, an exponential1 number of such sequences, each one requiring a different schedule at r.

399–411. : Speed is as powerful as clairvoyance. : Online gathering algorithms for wireless networks. : End-to-end packet-scheduling in wireless ad-hoc networks. I. ) Proc. 15th Symp. on Discrete Algorithms, pp. 1021–1030. : Computeraided complexity classification of combinatorial problems. : Approximating total flow time on parallel machines. -T. ): Handbook of Scheduling. : SRPT optimally utilizes faster machines to minimize flow time. I. ) Proc. 15th Symp. on Discrete Algorithms, pp. 350–358.

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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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