ROAug 19, 2013

Expanding the Knowledge Horizon in Underwater Robot Swarms

arXiv:1308.4294v11 citations
Originality Incremental advance
AI Analysis

This work addresses a critical issue for underwater robot swarms in time-sensitive environments, but it appears incremental as it builds on existing swarm communication methods.

The paper tackles the problem of time delays in information diffusion within underwater heterogeneous robot swarms, showing that significant time savings are achievable under a gossip-like protocol by properly allocating transmission resources.

In this paper we study the time delays affecting the diffusion of information in an underwater heterogeneous robot swarm, considering a time-sensitive environment. In many situations each member of the swarm must update its knowledge about the environment as soon as possible, thus every effort to expand the knowledge horizon is useful. Otherwise critical information may not reach nodes far from the source causing dangerous misbehaviour of the swarm. We consider two extreme situations. In the first scenario we have an unique probabilistic delay distribution. In the second scenario, each agent is subject to a different truncated gaussian distribution, meaning local conditions are significantly different from link to link. We study how several swarm topologies react to the two scenarios and how to allocate the more efficient transmission resources in order to expand the horizon. Results show that significant time savings under a gossip-like protocol are possible properly allocating the resources. Moreover, methods to determine the fastest swarm topologies and the most important nodes are suggested.

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