Using high level information to make services and applications sparse MANETs aware

Author

Lekova, Anna ; Georgieva, Olga

Author_Institution

Inst. of Control & Syst. Res., Bulgarian Acad. of Sci., Sofia

Volume

1

fYear

2008

fDate

6-8 Sept. 2008

Firstpage

27426

Lastpage

29252

Abstract

Context awareness in wireless networks with mobile nodes will enable services or applications to adapt their behavior to the network situation by reconfiguring their underlying protocols. We studied whether high-level information, captured in the semantics of the events during emergency and rescue scenario might be exploited to improve network performance by mapping alternative solutions in dependence on the space-time graph specifics. ldquoBinary behavioral templaterdquo - a new functional feature for estimating the network context is suggested. Fuzzy C-mean clustering and fuzzy reasoning for predicting the future state of space-time paths that services and applications will use for reconfiguring their underlying protocols, are proposed. RoboCup rescue scenario is used to evaluate the feasibility of the proposed fuzzy model.

Keywords

ad hoc networks; fuzzy set theory; graph theory; mobile radio; mobile robots; MANET; RoboCup rescue scenario; binary behavioral template; fuzzy C-mean clustering; fuzzy reasoning; high level information; mobile nodes; network situation; space-time graph specifics; wireless networks; Data security; Delay effects; Disruption tolerant networking; Fuzzy reasoning; Information security; Intelligent systems; Mobile communication; Robustness; Routing protocols; Wireless networks; Context Awareness; Fuzzy C-Mean Clustering; Fuzzy Reasoning; Mobile Wireless Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2008. IS '08. 4th International IEEE Conference

Conference_Location

Varna

Print_ISBN

978-1-4244-1739-1

Electronic_ISBN

978-1-4244-1740-7

Type

conf

DOI

10.1109/IS.2008.4670411

Filename

4670411