GitLab

Also refactored assignement and transition strategies to use the APs given and stored in the generator, removed all attraction point references doubled in movement models, transitions, and assignemdn strategies.

Actuator: Do not switch to Fly if the check is, if it is on

used abstract transtion strategy for weifhtered and random in area stratgegy (now both extend the abstract ITransition)

Added a new ITransitionStrategy such that nodes now roam around attraction points when they have a radius.

Error fix for color retrieval in the node info component viz. Now use red as standard color if the available range of colors is exceeded.

Random attraction generator now also gives a randomly generated radius to all APs. APs cannot have overlapping Radii

Random attraction generator now also gives a randomly generated radius to all APs. APs cannot have overlapping Radii

- JSON Attraction Generator: Now takes an upper limit int for only using the first n locations from the given JSON file.
- JSON Placement: Places nodes on *all* attraction points and not only the first.

Made AttractionPointImpl an extension to BasicAttractionPoint, since both did iomplement exactly the same base functions.

Fixed a bug in the weighted transition strategy where nodes would most probably just wait the minimum pause time (plus a little bit) and therefore the waiting times were not quite right (especially for big differences)

Now with correct time representation on y-Axis (H:m:s)
Now showing 0 as 0 (and not 0.000000) ;)

adapted multicopter movement and UAV topology component

Moved Controllable Actuators from the API into peerfact (like directly controlling the movement between APP and tech)

LoRa network header protocol

Configuration class for actuator energy coimponents.