Wireless Aggregation at Nearly Constant Rate
Magnus M. Halldorsson, Tigran Tonoyan

TL;DR
This paper demonstrates that wireless network aggregation can be achieved at nearly constant rates even in arbitrary networks under interference, by optimal power control and scheduling, improving previous bounds significantly.
Contribution
It establishes tight bounds on the achievable aggregation rate in wireless networks, showing constant or near-constant rates are possible with proper power control and scheduling.
Findings
Optimal rate is effectively constant under interference.
Power control is crucial for achieving high aggregation rates.
Bounds are tight; no better rate is possible with fixed power.
Abstract
One of the most fundamental tasks in sensor networks is the computation of a (compressible) aggregation function of the input measurements. What rate of computation can be maintained, by properly choosing the aggregation tree, the TDMA schedule of the tree edges, and the transmission powers? This can be viewed as the convergecast capacity of a wireless network. We show here that the optimal rate is effectively a constant. This holds even in \emph{arbitrary} networks, under the physical model of interference. This compares with previous bounds that are logarithmic (e.g., ). Namely, we show that a rate of is possible, where is the length diversity (ratio between the furthest to the shortest distance between nodes). It also implies that the \emph{scheduling complexity} of wireless connectivity is . This is achieved…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Mobile Ad Hoc Networks · Complexity and Algorithms in Graphs
