By Thomas Kesselheim (auth.), Amotz Bar-Noy, Magnús M. Halldórsson (eds.)
This ebook constitutes the completely refereed post-conference court cases of the eighth foreign Workshop on Algorithms for Sensor structures, instant advert Hoc Networks, and independent cellular Entities, ALGOSENSORS 2012, held in Ljubljana, Slovenia, in September 2012. The eleven revised complete papers provided including invited keynote talks and short bulletins have been rigorously reviewed and chosen from 24 submissions. The papers are geared up in tracks: sensor networks - overlaying themes equivalent to barrier resilience, localization, connectivity with directional antennas, broadcast scheduling, and information aggregation; and advert hoc instant and cellular platforms - protecting subject matters akin to: SINR version; geometric routing; cognitive radio networks; video supply; and mapping polygons.
Read Online or Download Algorithms for Sensor Systems: 8th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2012, Ljubljana, Slovenia, September 13-14, 2012. Revised Selected Papers PDF
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Extra resources for Algorithms for Sensor Systems: 8th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2012, Ljubljana, Slovenia, September 13-14, 2012. Revised Selected Papers
40 L. Belke et al. Latency Minimization. For our simulations, we focused on the capacitymaximization problem because it is particularly simple to state as an ILP or as and MILP. Practical works, in contrast, often consider the latency-minimization, in which one has to calculate a schedule that serve all requests at least once. Unfortunately, existing approaches [13,6,2] are not able to solve the problem exactly in reasonable time. Furthermore, most approximation algorithms for latency minimization actually solve recursively maximize the use of the ﬁrst slot.
Optimal routing, link scheduling and power control in multihop wireless networks. In: Proc. 22nd INFOCOM, pp. 702–711 (2003) 4. : Joint scheduling and power control for wireless ad hoc networks. IEEE Transactions on Wireless Communication 3(1), 74–85 (2004) 5. : Oblivious interference scheduling. In: Proc. 28th PODC, pp. 220–229 (2009) 6. : Joint power control and link scheduling in wireless networks for throughput optimization. In: Proc. IEEE International Conference on Communications (ICC), pp.
We were able to generate optimal results for networks with less than 200 requests. For networks consisting of more than 200 requests the time limit took eﬀect. That is, the obtained solution is more than 3 % worse than the fractional upper bound at this point. However, we use these solutions for our considerations. This is due to the fact that choosing a much larger time limit could not improve the qualities of the solutions signiﬁcantly. Furthermore, the solutions obtained up to this point still turned out to be signiﬁcant since they outperformed the maximal number of scheduled requests achieved with a ﬁxed power assignment.