Contextual Information Acquisition and Management Solutions for IPBased Networks: A Survey
May El Barachi and Nadjia Kara
Affiliation: Zayed University, Khalifa City B, P.O. Box 144534, Abu Dhabi, United Arab Emirates.
Keywords: Context-Awareness, Information Acquisition, Information Management, IP-based Networks, Next Generation Networks,
According to the ITU-T, Next Generation Networks (NGNs) are envisioned as IP-based networks capable of offering
their users ubiquitous access to a multitude of feature rich, QoS-enabled, broadband services that combine telecom and
datacom flavors. As NGNs continue to evolve, several challenges related to their operation and architecture are being investigated.
One of these challenges is the enabling of innovative and personalized “killer” applications that would appeal to users
and increase network operators’ revenues. Another challenge consists in the support of advanced QoS schemes that would
take into consideration users’ needs and the network situation to manage the network resources in an efficient and adaptive
manner. Context-awareness implies the ability to use contextual (or situational) information to provide relevant information
and⁄or services to the user. The introduction of the context-awareness concept in NGNs could open the door to personalized,
adaptive killer applications as well as context-aware dynamic QoS schemes. This paper surveys the literature on contextual
information acquisition and management solutions⁄patents that were proposed for IP-based networks, evaluates their suitability
with respect to context-awareness’ integration in NGNs, and discusses research directions. Among the evaluated solutions
and patents, the 3GPP presence framework shows signification potential for context-awareness’ integration in NGNs. However,
several open issues remain unsolved, such as: the definition of a standard and unified interface enabling the interaction
with heterogeneous sensors; the definition of an expressive information model enabling the representation of a wide range of
contextual information captured by physical⁄logical⁄mobile sensors; the usage of complementary approaches such as mobile
and participatory sensing to achieve better processing capabilities on sensor nodes; and the definition of suitable business
models and support functions regulating the interaction between sensors and NGNs.
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