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Effective routing and security strategies through principle component regression analysis in disruption tolerant network - 2021

Research Area:  Wireless Sensor Networks

Abstract:

Disruption tolerant Network was employed to different scenarios characterized by the high mobility of nodes, the constant disconnection, lengthy link disruption and long propagation delays on specified network types such as Military Ad Hoc Networks, Pocket Switched Networks and Vehicle Adhoc Network. Store- Carry – Forward principles aims as effective routing strategy to increase the on-time delivery by sustaining the data session and data replication. In this paper, a new a resilient model has been devised as “Effective routing strategies through principle Component Regression analysis in order to improve the quality of service against the bandwidth management, packet loss, Privacy of violation of the session information. The routing strategies imply the epidemic routing which is to control the message dissemination in the network on utilization of kalman filter on establishing the mathematical model. The attack is mitigated on combining the number of forwarding evidence with the energy consumption rate of the nodes to formulate direct trust which acts as invasive approach. In addition probabilistic checking has been employed using game theoretical approach to make it as investigation model. Finally collaborating and correlating the all strategies on regression analysis yields dynamic high performing node’s for data transmission. The extensive analysis and simulation results demonstrate the flexibility of the routing scheme and security along the effectiveness and efficiency of the proposed scheme on resource utilization.

Author(s) Name:  R. Sangeetha & R. Vijayabhasker

Journal name:  Journal of Ambient Intelligence and Humanized Computing (2021)

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s12652-020-02797-z

Volume Information: