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