Abstract
A methodology for building survivable large-scale supply network topologies that can extend to other large-scale multiagent systems (MAS) is discussed. The properties that encompass survivability from a topolgical perspective, called as survivability components includes robustness, responsiveness, flexibility, and adaptivity. An adaptive network restructure or reorganize its topology on the basis of environmental shifts for providing efficient performance. It is found that the complex-network theory offers random-graph, small-world, and scale-free network topologies for survivable networks.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 24-31 |
| Number of pages | 8 |
| Journal | IEEE Intelligent Systems |
| Volume | 19 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 2004 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Artificial Intelligence
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