By Roger Wattenhofer (auth.), Sándor P. Fekete (eds.)
This e-book constitutes the reviewed court cases 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 examine contributions relating to assorted algorithmic and complexity-theoretic points of instant sensor networks. the themes comprise yet aren't restricted to optimization difficulties, noise and chance, robots and excursions.
Read or Download Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, ALGOSENSORS 2008, Reykjavik, Iceland, July 2008. Revised Selected Papers PDF
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Extra info for Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, ALGOSENSORS 2008, Reykjavik, Iceland, July 2008. Revised Selected Papers
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.
30–42, 2008. c Springer-Verlag Berlin Heidelberg 2008 Target Counting under Minimal Sensing: Complexity and Approximations 31 realize the full potential of these networked smart sensors, signiﬁcant challenges in algorithms, software, and signal processing must be addressed, many of which arise from the “minimalistic” nature of this sensing and computing platform. In this paper, we examine some of these key issues in the context of counting and localizing targets in a physical space under minimal sensing assumptions.
Do At time t = k/σ, let 1, . . , m be the available packets in order of non-decreasing t , s)) distance to the sink (that is, d(v1t , s) ≤ d(v2t , s) ≤ . . ≤ d(vm for j = 1 to m do Send j to the next hop along an arbitrary shortest path from vjt to the sink, unless this creates interference with a packet j with j < j end for end for Every iteration k in the algorithm corresponds to a round of the schedule. We notice that this algorithm is a dynamic-priority algorithm, in the sense that the ordering in which packets are scheduled can change from round to round.
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.)