The world's meteorite collections contain a very rich picture of what the early Solar System would have been made of, however the lack of spatial context with respect to their parent population for these samples is an issue. The asteroid population is equally as rich in surface mineralogies, and mapping
Interactions between multiple tunable protocol parameters and multiple performance metrics are generally complex and unknown; finding optimal solutions is generally difficult. However, protocol tuning can yield significant gains in energy efficiency and resource requirements, which is of particular importance for sensornet systems in which resource availability is severely restricted. We address this multi-objective optimization problem for two dissimilar routing protocols and by two distinct approaches. First, we apply factorial design and statistical model fitting methods to reject insignificant factors and locate regions of the problem space containing near-optimal solutions by principled search. Second, we apply the Strength Pareto Evolutionary Algorithm 2 and Two-Archive evolutionary algorithms to explore the problem space, with each iteration potentially yielding solutions of higher quality and diversity than the preceding iteration. Whereas a principled search methodology yields a generally applicable survey of the problem space and enables performance prediction, the evolutionary approach yields viable solutions of higher quality and at lower experimental cost. This is the first study in which sensornet protocol optimization has been explicitly formulated as a multi-objective problem and solved with state-of-the-art multi-objective evolutionary algorithms.
<p><strong>Main text</strong></p> <p>The UK has a long history of meteorite falls (where the meteorite fireball is witnessed, and the stone recovered, dating back to 1623 (MetBull, 2020). But the last meteorite fall in the UK was nearly 30 years ago when the Glatton stone, an L6 ordinary chondrite was recovered in 1991 (Hutchinson et al., 1991). Meteorite falls are important samples as they are usually recovered within days of the fireball event.&#160; As such, they have not experienced the deleterious effects terrestrial weathering that can change their extraterrestrial mineralogy, chemistry and isotopic composition (Bland et al., 2006). In exceptional circumstances rapidly recovered falls may have avoided rainfall so that soluble extraterrestrial minerals such as salts may be preserved (Chan et al., 2018). Therefore, meteorite falls represent much more pristine extraterrestrial material than their find counterparts within the same group, and consequently, characterisation of their texture and chemical signatures provides a clearer window into solar system processes. However, even falls are limited in their interpretive power as the geological context of the stone (i.e. where in the solar system it originated from) is unknown.</p> <p>To derive this contextual information requires the imaging of the fireball event from multiple geographical positions (Devillepoix et al., 2020). This data provides two vital pieces of information; the initial orbit of the meteoroid can be calculated and the final fall position can be predicted with increased accuracy (Devillepoix et al., 2020). As such, dedicated fireball camera networks (Bowden, 2006) are entering &#8216;a golden age&#8217; with improvements in hardware and software capabilities as well as a reduction in production costs (Spurn&#253; et al., 2014). Continent-scale observatories have been established (Howie et al., 2017) and global networks are under construction (Devillepoix et al., 2020). In addition, these same developments have enabled the amateur astronomy community to construct their own networks either as groups or individuals with functional data pipelines and observations that can rival funded networks. Consequently, the number of recovered meteorite falls with orbits globally has grown rapidly over recent years (Borovi&#269;ka et al., 2015).</p> <p><img src="data:image/png;base64, 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