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On TDMA scheduling in wireless sensor networks

Authors: Mahesh Bakshi; Brigitte Jaumard; Mejdi Kaddour; Lata Narayanan;

On TDMA scheduling in wireless sensor networks

Abstract

We study the problem of finding an efficient schedule for convergecast in a wireless sensor network, using the SINR model of interference, and a TDMA protocol for medium access. We compare two approaches to computing a minimum length schedule for the TDMA frame. In the first approach, called the TC-approach, a multi-set of transmission configurations that are interference-free and that cover the convergecast traffic is computed and the scheduling algorithm restricts itself to using these configurations. In the second approach, called the tree-based approach, first a routing tree or subgraph is computed, and next, sets of non-interfering links are scheduled in rounds, based on which links have available traffic in each round. In this paper, For the TC-based approach, we provide new column generation approach and several new scheduling heuristics. For the tree-based approach, we propose the construction of a new tree called TFM tree, which takes into account variable power assignment, as well as a new scheduling algorithm for the second phase, called the ROS algorithm. We performed extensive experimental evaluations of both approaches. Our results show that the tree-based approach using the TFM tree significantly outperforms the TC-approach.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
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