Abstract | ||
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This paper presents BIONETS, which is a novel bio-inspired approach to the design of localized services in pervasive communication/computing environments. Conventional networking approaches are not suitable for such scenarios, where they face three main issues, namely: 1) heterogeneity, 2) scalability, and 3) complexity. The proposed solution draws inspiration from the living world in terms of 1) evolutionary paradigms able to drive the adaptation process of autonomic services and 2) social paradigms for the provisioning of the necessary cooperation mechanisms. The net result is the introduction of autonomic self-evolving services that are able to adapt to localized needs and conditions while ensuring the maintenance of a purposeful system. Such a system requires scalable support from the communication standpoint. In networking terms, this results in the introduction of a two-tier architecture based on localized opportunistic exchanges of information. The presented approach is able to achieve better scalability properties when compared to more conventional communication approaches |
Year | DOI | Venue |
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2007 | 10.1109/TVT.2006.883762 | Vehicular Technology, IEEE Transactions |
Keywords | Field | DocType |
evolutionary computation,ubiquitous computing,BIONETS,autonomic self-evolving services,bio-inspired networking,evolutionary paradigms,pervasive communication-computing environments,social paradigms,Bio-inspired solutions,opportunistic communications,pervasive communication,relay protocols,sensor networks | Computer science,Information exchange,Evolutionary computation,Computer network,Provisioning,Ubiquitous computing,Telecommunications service,Wireless sensor network,Scalability,The Internet,Distributed computing | Journal |
Volume | Issue | ISSN |
56 | 1 | 0018-9545 |
Citations | PageRank | References |
32 | 1.82 | 20 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Iacopo Carreras | 1 | 259 | 25.47 |
Imrich Chlamtac | 2 | 4617 | 728.71 |
Francesco De Pellegrini | 3 | 1328 | 82.83 |
Daniele Miorandi | 4 | 1794 | 117.08 |