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SDN-MCHO: Software Define network based Multi-criterion Hysteresis Optimization based for reliable device routing in Internet of Things for the smart surveillance application - 2020

SDN-Mcho: Software Define Network Based Multi-Criterion Hysteresis Optimization Based For Reliable Device Routing In Internet Of Things For The Smart Surveillance Application

Research Area:  Internet of Things

Abstract:

Internet of Things (IoT) is a sophisticated communication paradigm that is capable of integrating diverse elements from humans to interactive machines. This kind of integration provides seamless and ubiquitous communication support for mobile users. The infrastructure of IoT environment endorses multiple technologies and networks where, selecting a precise neighbor/ device becomes mandatory for the extreme surveillance application. It determines the reliability is service discovery and resource access. The process of request processing through reliable neighbor discovery is leveraged using multi-criterion hysteresis optimization (MCHO) based on SDN aided routing that is discussed in this article. The introduced routing optimization method is capable of identifying reliable IoT neighbors for request handling and delivery. This routing process depends on the activation function that classifies neighbors on the basis of three metrics namely Received Signal Strength (RSS), Rank, and Expected Transmission Count (ETX)for differentiating the neighbors on the basis of their consistency. Through differentiated hysteresis analysis, the neighbors are segregated and hence optimal devices are integrated to form a request friendly route to the access layer. The introduced routing optimization method is evaluated through appropriate experiments and the results are verified using the metrics: throughput, request delivery ratio, delay, response time, request loss and average ETX.

Keywords:  

Author(s) Name:  Tamizhselvan C. Vijayalakshmi V.

Journal name:  Computer Communications

Conferrence name:  

Publisher name:  ELSEVIER

DOI:  https://doi.org/10.1016/j.comcom.2020.02.029

Volume Information:  Volume 153, 1 March 2020, Pages 632-640