This paper proposes a malfunction resilient protocol for routing based on COGNET and Cross Layer Aware(CLA)architectures . Different from existing solutions Cog-CLAR(Cognitive- Cross layer Aware Routing) , does not focus on aparticular attack or malfunction but instead takes generalized approach. Cog-CLAR achieves resilience against a range of routingdisruption by treating them as “dysfunctional “ networks ,denote link and routing failures caused by link contention or nodemobility. Cog-CLAR is a cross layer scheme that detects attacks or malfunction at the transport layer but responds to them at thenetwork layer or MAC layer . Because dysfunctional network events and disruption attacks have pronounced effect on the size oftransport layer congestion window and flow monitoring of G C P(Global Control Pane of COGNET architecture) monitoringsuch is an effective method of detecting such event using this method Cog-CLAR is able to detect attacks or malfunction . Onceattack is detected Cog-CLAR initiate cognitive radio function or re-routing that circumvents and bootstrap the nodes that arelikely to be misbehaving. Analysis and simulation results show that Cog-CLAR is effective in the monitoring a number ofmalfunction or insider as well as jelly fish (JF) attack our results indicate that Cog-CLAR is also effective in improving networkthroughout because its proactive cognitive radio function aids in maintaining a reasonable level of throughout when dysfunctionalnetwork events occurs. Keywords: Cognet, DoS, cross-layer, jelly-fish ,DSR ,OMNET++


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    Title :

    Enhancing Malfunction Resilience in Cognitive Radio Networks



    Publication date :

    2017-01-13


    Remarks:

    doi:10.26483/ijarcs.v2i3.546
    International Journal of Advanced Research in Computer Science; Vol 2, No 3 (2011): May-June 2011; 425-428 ; 0976-5697 ; 10.26483/ijarcs.v2i3



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



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