Game-theoretic and Bio-inspired Techniques for Autonomous Mobile Nodes. Cet article n’est pas disponible.Game-theoretic and Bio-inspired Techniques for Autonomous Mobile Nodes

This book presents several novel approaches for autonomous mobile ad hoc network (MANET) nodes to distribute themselves uniformly over a dynamically changing environment without a centralized controller or a priori information about the deployment terrain or the state of other mobile agents. Introduced methods combine concepts from traditional game theory (GT), evolutionary GT, and bio-inspired algorithms to effectively and efficiently guide autonomous MANET nodes in finding the best positions. We show that myopic actions of each individual node lead the entire network towards a stable and uniform distribution. We present formal analysis of our methods, and prove their important properties including convergence, area coverage, and uniformity characteristics.

This book presents several novel approaches for autonomous mobile ad hoc network (MANET) nodes to distribute themselves uniformly over a dynamically changing environment without a centralized controller or a priori information about the deployment terrain or the state of other mobile agents. Introduced methods combine concepts from traditional game theory (GT), evolutionary GT, and bio-inspired algorithms to effectively and efficiently guide autonomous MANET nodes in finding the best positions. We show that myopic actions of each individual node lead the entire network towards a stable and uniform distribution. We present formal analysis of our methods, and prove their important properties including convergence, area coverage, and uniformity characteristics.