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Bottleneck Management Using Consecutive Intervention Annulment in Deeply chocked G2G Networks

Author

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  • Ayesha Taranum
  • Reshma Banu

Abstract

The Internet of Things (loT) and particularly Gizmo-to-Gizmo (G2G) communications are considered as major enablers for future smart cities' initiatives. While offering a wide range of applications and services, supporting such devices constitutes, however, one of the most important challenges to be faced by Network Operators (NO). Indeed, the expected huge number of devices requesting to connect to the network at the same time may result in severe Bottleneck in the access network with a high risk of Bottleneck collapse. Although there has been exploitation of the physical layer technique enhance the capability of multi-trip system, link scheduling problems still exist. Link scheduling problem addressed with a cross layer design. Cross layer design is a process of solving Bottleneck and scheduling problems in wireless systems wherever nodes capable by way of the Consecutive Intervention Annulment (CIA) capability under Signal to Interference Noise Ratio (SINR) model. CIA an efficient advance to tolerate the multiple adjacent concurrent communication to coexist, enable multi-packet reception. Cross layer design placed among the physical layer and MAC layer. The technique of both layers can support the additional difficult cross layer design intended use of improve system process. The proposed system consists of distributed link scheduling for solving the interference occurring during communications. This scheduling is an effectual process used for managing the interference relationships and with the help of advanced physical layer technique using CIA to take out the interference moreover decode the data by receivers.

Suggested Citation

  • Ayesha Taranum & Reshma Banu, 2018. "Bottleneck Management Using Consecutive Intervention Annulment in Deeply chocked G2G Networks," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 577-583, May.
  • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit1846107
    Note: Article URL: https://ijsrcseit.com/CSEIT1846107
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