The following document presents a detailed description of the protocol for the “
Control Channels for the Cooperation of the Cognitive Management System
” (C4MS) which provides the necessary means
to enable proper management of Opportunistic Networks.
Additionally, the document defines the
methodology that was applied for the purpose of signalling evaluation.
The protocol overview presented in section
2 of the main document, provides the
C4MS principles.
The section includes, among others, the description of the protocol identifiers,
procedures, protocol state machines and message format as well as the security asp
ects.
Section 3 provides a high-level description of the data structures defined within the scope of OneFIT project. The data structures are classified into five categories, i.e.: Profiles, Context, Decisions,Knowledge and Policies. The high level description is complemented by some detailed data
structures in the Appendix to D3.3 Section
3[10].
Section 4 provides details on the evaluation methodology applied for the purpose of C4MS
performance assessment. The section presents
the evaluation plan along with a description of metrics that are to be exploited in the scope of WP3.
Section 5 and Section 6 are composed of the signalling evaluation results. Section 5
focuses on the estimation of the signalling load imposed by ON management in different ON phases. Additionally some results for the initialization phase (not explicitly mentioned in the previous phases of the
project)and security related aspects are also depicted. Section 6 on the other hand is
focused on the evaluation of the
signalling traffic generated by
different ON related algorithms.
Conclusions to the document are drawn in section 7. Detailed description of the C4MS procedures, implementation options based on IEEE 802.21, DIAMTER and 3GPP are depicted in the appendix to the D3.3[10]
. Additionally, the appendix incorporates the detailed definition of the information data structures and final set of Message Sequence Charts (MSCs) provided for
the OneFIT project.Peer ReviewedPreprin
