Abstract:
Internet of Things (IoT) is a revolutionary communication technology that aims to facilitate our lives with more equipped and reliable means of communication. It encompasses all sectors of our life and has become an essential component of every smart environment. The applications of IoT can be found on a large scale, such as in the industrial sector, smart farming, and smart cities. IoT also facilitates Resource-constrained networks. Internet Engineering Task Force (IETF) has proposed an IPV6-based Routing Protocol for Low Power and Lossy Networks (RPL). These days, RPL is considered an ideal communication protocol for IoT-based large-scale networks. RPL generally comes with two built-in Objective Functions i.e., Objective Function Zero (OF0), and Minimum Rank with Hysteresis Objective Function (MRHOF) that governs the routing mechanisms of RPL in various scenarios. In this research study, we have evaluated the performance of RPL in IoT-based large-scale resource-constrained industrial networks. Furthermore, we have investigated the feasibility and applicability of Objective Function (OF0) in dense industrial environments. To obtain an adequate idea about the actual performance of RPL, diversified performance metrics are acquired as a performance monitoring scale. These metrics comprise relatable performance parameters, i.e., End-to-End delay, network lifetime, power consumption, and throughput that possess a significant impact on real-life industrial scenarios. The protocol is analytically examined in the Contiki operating system-based Cooja simulator, where a large-scale virtually identical industrial network is established. The simulation results in project favorable support for RPL and makes it an optimal choice for resource-constrained industrial networks.
Page(s):
56-56
DOI:
DOI not available
Published:
Journal: Abstract Book on Global Science Technology and Management Conference, Volume: 0, Issue: 0, Year: 2023
Keywords:
Internet of Things
,
Industrial Network
,
IPV6based Routing Protocol
,
Large Scale Network
,
RPL