Abstract

Mobile ad hoc networks are noncentralised, multihop, wireless networks that lack a common infrastructure and hence require self-organisation. Their infrastructureless and dynamic nature entails the implementation of a new set of networking technologies in order to provide efficient end-to-end communication according to the principles of the standard TCP/IP suite. Routing, IP address autoconfiguration and Web service discovery are among the most challenging tasks in the ad hoc network domain. Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviours of insects, such as ants and bees. Self-organization, decentralization, adaptivity, robustness, and scalability make swarm intelligence a successful design paradigm for the above-mentioned problems. In this paper we proposeBeeAdHocServiceDiscovery, a new service discovery algorithm based on the bee metaphor, which also takes into account quality metrics estimates. The protocol has been specifically designed to work in mobile ad hoc network scenarios operating withBeeadhoc, a well-known routing algorithm inspired by nature. We present both the protocol strategy and the formal evaluation of the discovery overhead and route optimality metrics showing thatBeeAdHocServiceDiscoveryguarantees valuable performances even in large scale ad hoc wireless networks. Eventually, future research suggestions are sketched.

Highlights

  • A mobile ad hoc network (MANET) is a set of mobile nodes that communicate over radio and operate without the benefit of any infrastructure; nodes continuously enter and leave the network according to their mobility needs

  • In this paper we propose BeeAdHocServiceDiscovery, a new service discovery algorithm based on the bee metaphor, which takes into account quality metrics estimates

  • We present BeeAdHocServiceDiscovery, a novel swarm intelligence service discovery protocol (SDP) based on BeeAdHoc, a wellknown routing algorithm for MANET derived from the bee colony optimization metaheuristic [4,5,6,7]

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Summary

Introduction

A mobile ad hoc network (MANET) is a set of mobile nodes that communicate over radio and operate without the benefit of any infrastructure; nodes continuously enter and leave the network according to their mobility needs. The number and variety of services provided by MANETs are constantly increasing with the expansion of their applications; services offered by single nodes are spreading as well as the need of sharing useful facilities among nodes. We present BeeAdHocServiceDiscovery, a novel swarm intelligence SDP based on BeeAdHoc, a wellknown routing algorithm for MANET derived from the bee colony optimization metaheuristic [4,5,6,7]. Due to the adaptive and dynamic nature of MANETs, the swarm intelligence approach is considered a successful design paradigm to solve the routing, the IP address autoconfiguration and the service discovery problems [4, 8, 9].

The Swarm Paradigm
MANET Service Discovery
BeeAdHocServiceDiscovery
Formal Performance Evaluation
Conclusions
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