Drone sensing volumes

Abstract

We are in the midst of a global turn to the drone. Following their establishment as icons of contemporary warfare, drones are increasingly deployed in a range of more‐than‐military applications. Interrogating this diverse ecosystem of platforms, scholars have examined the ways in which drones see, sense and manoeuvre, asserting that they enable distinct perspectives and the rendering visible of expanded and extended sensory terrains. In parallel, scholars from across and beyond the social sciences are increasingly mobilising the concept of volume to (re)consider conceptions of space in three‐, rather than two‐dimensional terms, with complex heights and depths. Thinking at the intersection of these discussions has explored drones as at once acting in, enacting, capturing and comprising volume. This paper extends these discussions by foregrounding drone sensing volumes and the diverse visualities, practices and relations they compose and comprise. Through the lens of drone sensing volumes in the context of emergency—and specifically through the snapshot example of sensing for signs of death following a homicide—the paper understands the sensor‐laden drone as a volumetric project both demonstrative of diverse sensing sensibilities and prompting a thinking otherwise of volume. While existing scholarship importantly attends to the conflict, control and calculative dimensions of volume, this paper mobilises the snapshot of drone sensing as an invitation for further attention to diverse forms of techno‐instrumentalisation, and the accommodation of more diverse drone sensing sensibilities that seek to resolve, rather than to perpetrate, volumetric violence.

DCM-D2X: An Effective Communication Mobility Model for Decentralized Cooperative Multi-Layer Drone to Everything

“…Some specialized military UAVs may have flight times of over 24 hours or several days, but these are typically designed for specific missions, advanced technology, and support infrastructure. Therefore, they are helpful for civil and military operations [8,9,10].…”

“…8: end for 9: Evaluate the fitness function for each set of positions, velocities, and distance of the UAVs in the swarm using Eqn. (8). 10: Update the position, velocity, and distance of each UAV using the GWO algorithm as follows: 11: while true do 12:…”