By Sandor P. Fekete
This ebook 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 with regards to different algorithmic and complexity-theoretic facets of instant sensor networks. the subjects contain yet aren't constrained to optimization difficulties, noise and likelihood, robots and excursions.
Read Online or Download Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, Algosensors 2008, Reykjavik, Iceland, July 2008. Revised Selected Pape ... Computer Science Computer Communication N) 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 Pape ... Computer Science Computer Communication N)
And for any round t ∈ [ti , ti ] there exists j ∈ Mi (t) such that t + d(vjt , s)/σ ≤ ti . Suppose the claim holds. Then choosing t = ti implies that for each i, 1 ≤ i ≤ , there is a packet j ∈ Mi (ti ) which arrives at the sink in round ti = mink∈S(i) rk + δk /σ. As a consequence j ∈ Ti , and ti = rj + δj /σ, which proves the lemma. Proof of Claim. The claim trivially holds for t = ti , because some packet j ∈ S(i) t with earliest possible arrival time ti is released in round ti , hence ti +d(vji , s)/σ = rj + δj /σ = ti .
One can, of course, generalize this to an example where sensors cannot distinguish between n and 2n targets, and arrive at the impossibility result that, under our minimal sensing model, no algorithm √ can count targets with an accuracy factor better than 2. It turns out, however, that √ this is essentially the worst-possible scenario, and one can always achieve 2 approximation factor for any conﬁguration of targets and sensors in one dimension. Given our sensing model, one may feel that the best counting accuracy is achieved by non-overlapping sensing ranges—the inaccuracies arise only from multiple sensors counting the same target.
Collection stage: run the schedule as long as data is to be collected. Energy consumption is our primary concern. We want to minimize it during both the set-up stage and the collection stage. Energy use during the collection stage can be minimized if each node knows exactly in which slots to listen and when to send and if there is no idle listening or failed transmission. Nodes that are neither sending nor trying to receive can go into sleep mode or at least turn oﬀ their radio, dramatically reducing the energy consumption.
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