Maximizing Aggregated Information in Sensor Networks Under Deadline Constraints

  title={Maximizing Aggregated Information in Sensor Networks Under Deadline Constraints},
  author={Srikanth Hariharan and Ness B. Shroff},
  journal={IEEE Transactions on Automatic Control},
We study the problem of maximizing the aggregated information in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the form of a tree topology, where the root corresponds to the sink node, and the rest of the network detects an event and transmits data to the sink over one or more hops. We assume a time-slotted synchronized system and a node-exclusive (also called a primary) interference model. We formulate this problem as an integer… CONTINUE READING


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Publications referenced by this paper.
Showing 1-10 of 15 references

Latency-constrained aggregation in senso r etworks

L. Becchetti, A. M. Spaccamela, +3 authors L. Stougie
ACM Transactions on Algorithms , vol. 6, no. 1, pp. 13:1–13:20, 2009. • 2009
View 1 Excerpt

Maximizing aggregated revenue in sensor networks under deadline constraints

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference • 2009

Computing and communicating functions over sensor networks

IEEE Journal on Selected Areas in Communications • 2005
View 2 Excerpts

Aggregat ion in sensor networks: An energy-accuracy trade-off

A. Boulis, S. Ganeriwal, M. B. Srivastava
Elsevier Ad Hoc Networks , vol. 1, no. 2-3, pp. 317–331, 2003. • 2003
View 1 Excerpt

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