Routing in Mobile Ad Hoc Networks (MANET) is a challenging problem which has recently stimulated a lot of works not only via conventional computing, but also via non conventional computing, namely via swarm computing. Two specific classes of insect societies have inspired a large amount of algorithms in the domain of network routing: ant and bee colonies. The ability of ant colonies in finding shortest paths between their nest and food sources has produced the Ant Colony Optimization (ACO) metaheuristic on one side, and the communication and recruitment strategies used by bees in their foraging activities has inspired the development of algorithms for routing problems on the other. In this paper the performances of a swarm intelligence routing algorithm are investigated with respect to a realistic scenario.
The BEE-Ad-Hoc algorithm in a Urban network
DE SANTIS, Filomena
2009-01-01
Abstract
Routing in Mobile Ad Hoc Networks (MANET) is a challenging problem which has recently stimulated a lot of works not only via conventional computing, but also via non conventional computing, namely via swarm computing. Two specific classes of insect societies have inspired a large amount of algorithms in the domain of network routing: ant and bee colonies. The ability of ant colonies in finding shortest paths between their nest and food sources has produced the Ant Colony Optimization (ACO) metaheuristic on one side, and the communication and recruitment strategies used by bees in their foraging activities has inspired the development of algorithms for routing problems on the other. In this paper the performances of a swarm intelligence routing algorithm are investigated with respect to a realistic scenario.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
