By Sandor P. Fekete
This booklet constitutes the reviewed court cases of the Fourth overseas Workshop on Algorithmic points of instant Sensor Networks, ALGOSENSORS 2008, held in Reykjavik, Iceland, Wroclaw, Poland, July 12, 2008. The workshops aimed toward bringing jointly examine contributions on the topic of diversified algorithmic and complexity-theoretic features of instant sensor networks. the themes contain yet usually are not constrained to optimization difficulties, noise and likelihood, robots and excursions.
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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)
Fairness among children in diﬀerent branches is not ensured. MPS (Multi-Flow Power Scheduling) and HPS (Hybrid Power Scheduling) are enhancements on FPS introduced in . MPS is closely related to our k-layer interference protocol in Section 3, but performance is only evaluated experimentally and there is no theoretical analysis of the protocols. Also, the interference model is not described explicitely. The authors of  address the problem of congestion, fairness and robustness during the transport of high volumes of sampled data.
The task now is to set-up a transmission schedule that collects sensor data from all nodes at the sink without aggregation. This task naturally divides into the following subtasks or stages: Topology stage: decide on a topology to collect data. We assume that the resulting topology is a tree routed at the sink. Set-up stage: perform the communication necessary to agree on a schedule that guarantees delivery of all sensor data to the sink and complies with an interference model. Collection stage: run the schedule as long as data is to be collected.
Consider ﬁrst the packets in J in . Since we are executing ISRPT at speed 5, and the set J in is considered once every ﬁve iterations, we have that every one time unit a round of SRPT is executed on the set J in . So the completion 26 V. Bonifaci et al. times of the packets in J in are not worse than those that would be obtained by running SRPT with unit speed on J in alone. On the other hand, inside the critical region the gathering problem is nothing else than the scheduling problem 1|rj , pmtn| j Cj , meaning that SRPT is optimal.