Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

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 …

In this paper, we describe AntHocNet, an algorithm for routing in mobile ad hoc networks. It
is a hybrid algorithm, which combines reactive path setup with proactive path probing …

Routing of packets in mobile ad hoc networks with a large number of nodes or with high
mobility is a very difficult task and current routing protocols do not really scale well with these …

In ant societies, and, more in general, in insect societies, the activities of the individuals, as
well as of the society as a whole, are not regulated by any explicit form of centralized control …

Routing algorithms in mobile ad-hoc networks (MANETs) should match the special
characteristics of MANETs. It should be A self-configured, self-built and distributed routing …

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 …

Lately, wireless sensor networks are garnering a lot of interests, as it is feasible to deploy
them in many ad hoc scenarios such as for earthquake monitoring, tsunami monitoring and …

Abstract Mobile Ad Hoc Networks (MANETs) are special type of decentralized wireless
networks without the need of any pre-existing infrastructure for communication among the …

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