In a mobile ad-hoc network, nodes are self-organized without any infrastructure support: they move arbitrarily causing the network to experience quick and random topology changes, have to act as routers as well as forwarding nodes, some of them do not communicate directly with each other. Routing, IP address auto-configuration and Web service discovery are among the most challenging tasks in the MANET domain. Swarm Intelligence is a property of natural and artificial systems involving minimally skilled individuals that exhibit a collective intelligent behaviour derived from the interaction with each other by means of the environment. Colonies of ants and bees are the most prominent examples of swarm intelligence systems. Flexibility, robustness, and self-organization make swarm intelligence a successful design paradigm for difficult combinatorial optimization problems. This paper proposes BeeAdHocServiceDiscovery a new service discovery algorithm based on a bee swarm labour that may be applied to large scale MANET with low complexity, low communication overhead, and low latency. Eventually, future research directions are established.

BeeAdHocServiceDiscovery: A MANET Service Discovery Algorithm based on Bee Colonies

DE SANTIS, Filomena;MALANDRINO, Delfina
2014

Abstract

In a mobile ad-hoc network, nodes are self-organized without any infrastructure support: they move arbitrarily causing the network to experience quick and random topology changes, have to act as routers as well as forwarding nodes, some of them do not communicate directly with each other. Routing, IP address auto-configuration and Web service discovery are among the most challenging tasks in the MANET domain. Swarm Intelligence is a property of natural and artificial systems involving minimally skilled individuals that exhibit a collective intelligent behaviour derived from the interaction with each other by means of the environment. Colonies of ants and bees are the most prominent examples of swarm intelligence systems. Flexibility, robustness, and self-organization make swarm intelligence a successful design paradigm for difficult combinatorial optimization problems. This paper proposes BeeAdHocServiceDiscovery a new service discovery algorithm based on a bee swarm labour that may be applied to large scale MANET with low complexity, low communication overhead, and low latency. Eventually, future research directions are established.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4447457
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