Quality of-protection-driven data forwarding for intermittently connected wireless networks
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The document proposes a quality-of-protection (QoP)-driven data forwarding strategy for intermittent wireless networks. The existing system relies on collaborative data delivery, but non-cooperative behavior impairs network QoP and user quality of experience (QoE). The proposed system evaluates process-based and relationship-based credibility of nodes in a distributed manner using locally recorded forwarding behavior information. An intrusion detection mechanism helps select reliable relay nodes for transmission, improving QoP, QoE, reducing network load, and enhancing resource utilization. Numerical results show the proposed approach provides reliable data transmission with high QoP and improved user QoE.
Quality of-protection-driven data forwarding for intermittently connected wireless networks
- 1. Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457 QUALITY-OF-PROTECTION-DRIVEN DATA FORWARDING FOR INTERMITTENTLY CONNECTED WIRELESS NETWORKS ABSTRACT : The data delivery in ICWN is accomplished in a collaborative manner, and non-cooperative behavior will gravely impair network QoP anduser QoE. To select reliable relay nodes for data transmission, a trust-status-aware data forwarding strategy is proposed in this article. By exploit in locally recorded forwarding behaviour information, process-based and relationship based credibility can be precisely evaluated in adistributed manner. Additionally, with the assistance of an effective intrusion detection mechanism, reasonable relay selection can beperfected. Numerical results show that the proposedmechanism can provide reliable data transmission with high QoP and improved userQoE, which dramatically reduces the networkload and enhances the resource utilization Existing system : The data delivery in ICWN is accomplished in a collaborative manner, and non- cooperative behavior will gravely impair network QoP anduser QoE. PROPOSED SYSTEM : By exploit in locally recorded forwarding behaviour information, process-based and relationship based credibility can be precisely evaluated in adistributed manner. Additionally, with the assistance of an effective intrusion detection mechanism, reasonable relay selection can beperfected. Numerical results show that the proposedmechanism can provide reliable data transmission with high QoP and improved userQoE, which dramatically reduces the networkload and enhances the resource utilization
- 2. Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457
- 3. Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457 Block diagram :
- 4. Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457
- 5. Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457 Conclusion : In the resource limited ICWN, the existence ofmalicious nodes greatly degrades the network reliability, resource utilization, network QoP,and user QoE. By analyzing the social relationship between nodes and forwarding behaviors, aQoP-driven data forwarding strategy is proposed in this article. Our major contributions in thearticle include: 1.The relationship strength is estimated according to the locally recorded encounter history. 2. Process-basedand relationship-based credibility are evaluated, and the final node trust status is obtained with the assistance of the dynamical intrusion detection and hybrid credibility update methods. Based on the results of 1 and 2, the data forwarding decision can be accomplished with improved network performance. Our simulation results show that the QoP and user QoE can be improved dramatically by the proposed QOPDF, and then the effectiveness of our proposed approachis verified.