Mobility

Resilient Node Self-Positioning Methods for MANETs Based on Game Theory and Genetic Algorithms

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Executive Summary

The authors present a distributed and scalable game participated by autonomous MANET nodes to place themselves uniformly over a dynamically changing environment. A node spreading potential game, called Rel-NSPG, run at each node, autonomously makes movement decisions based on localized data while the best next location to move is selected by a Genetic Algorithm (GA). Since, it requires only a limited synchronization among the closest neighbors of a player, and does not require a priori knowledge of the environment, Rel-NSPG is a good candidate for node spreading class of applications used in military tasks.

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