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Swarm intelligence forms the core of a new class of algorithms inspired by the social behavior of insects that live in swarms. Its attractive features include adaptation, robustness and a distributed, decentralized nature, rendering swarm-based algorithms well-suited for routing in wireless o r satellite networks, where it is difiicult it implement centralized network control. We propose one such routing algorithm, dubbed Adaptive Swarm-based Distributed Routing (Adaptive-SDR), which is scalable, robust and suitable to handle large amounts of network traffic, while minimizing delay and packet loss.

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