Energy Versus Throughput Optimisation for Machine-to-Machine Communication

Emma Fitzgerald , Michał Pióro , Artur Tomaszewski


We investigate the trade-off between energy usage and (packet) throughput in wireless mesh networks performing machine-to-machine communication. For this we provide a novel mixed-integer programming formulation to maximise the throughput while maintaining minimal energy usage, together with an effective price-and-branch solution algorithm based on column generation. The resulting optimisation model is the main original contribution of the presented paper. We conducted a numerical study using network examples from 10 to 40 nodes, in which periodic sensor measurements are aggregated and disseminated to actuators. In almost all cases, we were able to achieve maximum throughput and minimum energy usage simultaneously, and in those cases where this was not possible, the costs incurred in one objective in order to achieve the other were typically low. The solution times for all network sizes were of the order of seconds, showing that our optimisation model is feasible to use in practice.
Author Emma Fitzgerald (FEIT / IT)
Emma Fitzgerald,,
- The Institute of Telecommunications
, Michał Pióro (FEIT / IT)
Michał Pióro,,
- The Institute of Telecommunications
, Artur Tomaszewski (FEIT / IT)
Artur Tomaszewski,,
- The Institute of Telecommunications
Journal seriesSensors, [SENSORS-BASEL], ISSN 1424-8220, e-ISSN 1424-3210
Issue year2020
Publication size in sheets206.1
Article number4122
Keywords in English wireless sensor networks; multicast; transmission scheduling; integer programming; IoT; machine-to-machine communication
ASJC Classification1303 Biochemistry; 1602 Analytical Chemistry; 2208 Electrical and Electronic Engineering; 3107 Atomic and Molecular Physics, and Optics
Languageen angielski
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 20-08-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.393; WoS Impact Factor: 2018 = 3.031 (2) - 2018=3.302 (5)
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