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Emerging Wireless Networks 2011
DOI: 10.1201/b11420-3
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Management Challenges for Emerging Wireless Networks

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Cited by 2 publications
(2 citation statements)
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“…The evolving networks demonstrate the complex changes in network structure, network functions, network performance, and interoperation relationship with the time evolving, and thus more opportunistic networks and self-organizing networks come into being one trend of the network evolution. The emerging computing models (distributed computing, pervasive computing, cognitive computing, opportunistic computing, scalable computing, autonomic computing, physical computing, and probabilistic computing), which are employed to model and manage the complex dynamic networks and pertain to the operation, administration, maintenance, and provision of networked systems for secure (reliable) and effective network performance [11].…”
Section: Introductionmentioning
confidence: 99%
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“…The evolving networks demonstrate the complex changes in network structure, network functions, network performance, and interoperation relationship with the time evolving, and thus more opportunistic networks and self-organizing networks come into being one trend of the network evolution. The emerging computing models (distributed computing, pervasive computing, cognitive computing, opportunistic computing, scalable computing, autonomic computing, physical computing, and probabilistic computing), which are employed to model and manage the complex dynamic networks and pertain to the operation, administration, maintenance, and provision of networked systems for secure (reliable) and effective network performance [11].…”
Section: Introductionmentioning
confidence: 99%
“…In real IT application scenarios, the evolution is characterized with the combinational evolving results on physical networks, information networks and service networks.The evolving networks demonstrate the complex changes in network structure, network functions, network performance, and interoperation relationship with the time evolving, and thus more opportunistic networks and self-organizing networks come into being one trend of the network evolution. The emerging computing models (distributed computing, pervasive computing, cognitive computing, opportunistic computing, scalable computing, autonomic computing, physical computing, and probabilistic computing), which are employed to model and manage the complex dynamic networks and pertain to the operation, administration, maintenance, and provision of networked systems for secure (reliable) and effective network performance [11].The dynamics and uncertainty are unavoidable characteristics, which come from the regular network evolution and unexpected hardware defects, unavoidable software errors, incomplete management information and dependency relationship between the entities among the emerging complex networks. Due to the complexity of emerging networks, it is not always possible to build precise models in modeling and optimization (local and global) for networks.…”
mentioning
confidence: 99%