Name
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 andWeb 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. |
Year | Venue | Keywords |
|---|---|---|
2014 | ICINCO), 2014 11th International Conference | IP networks,Web services,combinatorial mathematics,mobile ad hoc networks,optimisation,swarm intelligence,telecommunication computing,telecommunication network routing,telecommunication network topology,BeeAdHocServiceDiscovery,IP address autoconfiguration,MANET service discovery algorithm,Web service discovery,bee colonies,bee swarm labour,collective intelligent behaviour,combinatorial optimization problems,forwarding nodes,mobile ad-hoc network,random topology changes,routing,swarm intelligence systems,MANET Auto-configuration,Routing,Swarm Intelligence,Web Service Discovery |
Field | DocType | Volume |
Mobile ad hoc network,Design paradigm,Swarm intelligence,Algorithm,Computer network,Adaptive quality of service multi-hop routing,Robustness (computer science),Optimized Link State Routing Protocol,Engineering,Latency (engineering),Service discovery,Distributed computing | Conference | 01 |
Citations | PageRank | References |
1 | 0.34 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gianmaria Arenella | 1 | 1 | 0.34 |
| Filomena de Santis | 2 | 5 | 2.48 |
| Delfina Malandrino | 3 | 310 | 44.08 |