| Publisher | Cornell University | ||
|---|---|---|---|
| Format | 263.9KB PDF | Date added | 15 Jan 2006 |
| Topics | Software Engineering, Mobile - Wireless Communications | ||
| Downloads | 161 | ||
A biologically inspired algorithm named Termite is presented. Termite directly addresses the problem of routing in the presence of a dynamic network topology. In the Termite algorithm, network status information is embedded in the network through the passage of packets. Probabilistic routing decisions are based on this information such that the use of paths of maximum utility is an emergent property. This adaptive approach to routing greatly reduces the amount of control traffic needed to maintain network performance. The stochastic nature of Termite is explored to find a heuristic to maximize routing performance. The analysis focuses on the routing metric estimator, which is known as pheromone in the biological context.
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