Authors:
Aristotelis Kollias
and
Ioanis Nikolaidis
Affiliation:
Univercity of Alberta, Canada
Keyword(s):
Thermoelectric Energy, Multi–commodity Routing, Energy–aware Routing.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy Profiling and Measurement
;
Energy-Aware Systems and Technologies
Abstract:
Energy-aware routing schemes in wireless sensor networks (WSNs) often employ artificial energy assumptions,
e.g., equal initial energy reserves for all nodes. Instead, we consider the case of realistic energy reserves
collected via thermoelectric energy harvesting in an apartment complex and examine how the harvested energy
impacts routing decisions over relatively large time frames. We formulate the corresponding multi-commodity
routing flow problem and, using real observed data, remark that maximizing the volume of collected data
typically leads to an uneven collection from each sensor. We propose a corresponding adjustment to the optimization
problem to derive a “fair” data collection strategy. We additionally present a low overhead method
of constructing a seasonally–aware routing scheme and study its performance. We compare the seasonally–
aware routing performance against that of an ideal, centralized, optimization solution, as well as against a
simple strategy to avoid extreme
variance of residual energy at the sensor nodes.
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