Swarms And Network Intelligence In Search 1st Edition Yaniv Altshuler by Yaniv Altshuler, Alex Pentland, Alfred M. Bruckstein 9783319636047, 3319636049 instant download after payment.

This book offers a comprehensive analysis of the theory and tools needed
for the development of an efficient and robust infrastructure for the design of
collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its
applications for tactical intelligence drones. It discusses frameworks for
robustly and near-optimally analyzing flocks of semi-autonomous vehicles
designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined
“search regions”. It discusses the theoretical limitations of such systems, as
well as the trade-offs between the systems’ various economic and operational
parameters.

Current UAV systems rely mainly on human operators for the design and
adaptation of drones’ flying routes. However, recent technological advances
have introduced new systems, comprised of a small number of self-organizing
vehicles, manually guided at the swarm level by a human operator.

With the growing complexity of such man-supervised architectures, it is
becoming increasingly harder to guarantee a pre-defined level of performance.
The use of large scale swarms of UAVs as a combat and reconnaissance platform
therefore necessitates the development of an efficient optimization mechanism
of their utilization, specifically in the design and maintenance of their
patrolling routes.

The book is intended for researchers and engineers in the fields of
swarms systems and autonomous drones.