DocumentCode :
3002426
Title :
Novel Information Dissemination Solutions in Biologically Inspired Networks
Author :
Varga, E. ; Csvórics, T. ; Bacsardi, L. ; Berces, M. ; Simon, V. ; Szabó, S.
Author_Institution :
Budapest Univ. of Technol. & Econ., Budapest
fYear :
2007
fDate :
13-15 June 2007
Firstpage :
279
Lastpage :
284
Abstract :
Nowadays mobile communications gain more and more importance. The increased usage requires more sophisticated services. In this paper a possible, future network architecture is examined, called BIONETS. In this case the mobile nodes for the entire network, without dedicated backbone is present. We pursue the goal of finding an optimal information dissemination model over some mobility model. The investigation covers our previously defined protocol called IOBIO, classical broadcast and a newly developed adaptive broadcast algorithm. We run several simulations-with an own simulator created in OMNeT++ in order to decide which one is the optimal information dissemination method for the given mobility environment. The results give us the advantage to further improve the communication in such networks.
Keywords :
ad hoc networks; information dissemination; mobile computing; mobility management (mobile radio); protocols; software architecture; BIONETS; IOBIO; OMNeT++; adaptive broadcast algorithm; biologically inspired networks; information dissemination solutions; mobile communications; mobile nodes; mobility model; network architecture; Broadcasting; Cloud computing; Computer networks; Environmental economics; Intelligent sensors; Mobile communication; Mobile computing; Peer to peer computing; Portable computers; Wireless sensor networks; BIONETS; ad hoc networks; adaptive broadcast; information dissemination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications, 2007. ConTel 2007. 9th International Conference on
Conference_Location :
Zagreb
Print_ISBN :
953-184-111-X
Electronic_ISBN :
953-184-111-X
Type :
conf
DOI :
10.1109/CONTEL.2007.381883
Filename :
4267509
Link To Document :
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