Successful behavioural and communication strategies of biotic communities can serve as an
inspiration for algorithms used to design, manage, and control real-world networks. Many …

Swarm intelligence is a relatively novel field. It addresses the study of the collective
behaviors of systems made by many components that coordinate using decentralized …

In this chapter we discuss the properties and review the main instances of network routing
algorithms whose bottom-up design has been inspired by collective behaviors of social …

Biological systems present remarkable adaptation, reliability, and robustness in various
environments, even under hostility. Most of them are controlled by the individuals in a …

Ad hoc networks consist of autonomous self-organized nodes. Nodes use a wireless
medium for communication, thus two nodes can communicate directly if and only if they are …

The ant systems optimization approach is a new method of solving combinatorial
optimization problems. It was originally introduced as a metaheuristic approach for the well …

Swarm intelligence, as demonstrated by natural biological swarms, exhibits numerous
powerful features that are desirable in many engineering systems, such as communication …

In the past few years, there has been much research on the application of swarm
intelligence to the problem of adaptive routing in telecommunications networks. A large …

Abstract Wireless Multi-Hop Networks (such as Mobile Ad hoc Networks, Wireless Sensor
Networks, and Wireless Mesh Networks) promise improved flexibility, reliability, and …

Using the metaphor of swarm intelligence, ant-based routing protocols deploy control
packets that behave like ants to discover and optimize routes between pairs of nodes. These …