By Roger Wattenhofer (auth.), Sándor P. Fekete (eds.)
This booklet constitutes the reviewed complaints of the Fourth foreign Workshop on Algorithmic elements of instant Sensor Networks, ALGOSENSORS 2008, held in Reykjavik, Iceland, Wroclaw, Poland, July 12, 2008.
The workshops aimed toward bringing jointly study contributions concerning varied algorithmic and complexity-theoretic elements of instant sensor networks. the subjects contain yet will not be constrained 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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Additional resources for Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, ALGOSENSORS 2008, Reykjavik, Iceland, July 2008. Revised Selected Papers
We also notice that, δj < γ ∗ for each packet j ∈ J (that is, when all packets are released inside the critical region), then Wgp reduces to a single machine scheduling problem with preemption. The problem of minimizing average ﬂowtimes is then equivalent to the single machine scheduling problem with the same objective, allowing preemption and jobs having release times: 1|rj , pmtn| j Fj in terms of . For the oﬀ-line problem minimizing average ﬂow-time has the same optimal solution as minimizing average completion times.
We make no assumptions about the geographic distribution of sensors or targets: our results are worst-case. Throughout, we assume that the targets have ﬁxed locations, and sensors’ readings represent a snapshot of the target locations. This view is valuable even in tracking applications when no a priori information is available about the motion of the targets and where the targets can be deliberately evasive, creating an adversarial situation. 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.
In: SENSYS (2006) 6. : Tracking multiple targets using binary proximity sensors. In: IPSN (2007) 7. : Tracking human motion using multiple cameras. In: ICPR (1996) 8. : Multiple camera coordination in a surveillance system (2003) 9. : Learning patterns of activity using real-time tracking. IEEE Transaction on Pattern Analysis Machine Intelligence (2000) 10. : Instrumenting wireless sensor networks for real-time surveillance. In: International Conference on Robotics and Automation (2006) 11. : Introduction to algorithms (2004) 12.
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.)