RPL Based Routing Protocols for Load Balancing in IoT Network

Author:

Rani Sangeeta,Kumar Ajay,Bagchi Arko,Yadav Snehlata,Kumar Sachin

Abstract

Abstract RPL is a directing convention for remote organizations with low force utilization and large defenseless to parcel misfortune. It is a proactive convention dependent on distance vectors and works on IEEE 802.15.4. RPL can uphold a wide assortment of connection layers, including IoT, which is a technology that taking hold of research and industries with a fast tramp. It is a collection of actuators and sensors that collect data which can be processed to produce actual information. Important parameters allied to human body and physical environment data such that humidity, temperature, pressure, pollution etc. have immense significance for computerization, failure recognition, well timed, and appropriate cure. In this manner, IoT network offered ascend to keen urban communities, home mechanization, savvy wellbeing, present day travel strategic and some more. There is a distance vector normalization Routing Protocol for Low force and Lossy organization (RPL) for IoT sending, which relies upon different course improvement Objective functions (OF). These capacities rely upon different networks in the vein of energy like Received Sign Strength Indicator (RSSI) and Expected Transmission tally (ETX) for course streamlining. Course enhancement is influenced by issue of burden adjusting. In this paper, an inclusive survey of existing load balancing schemes, matrices, Objective Functions and different RPL based Routing protocols with reference to load imbalance is represented and highlighted when load balancing merged with the RPL, how it had a great impact.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference42 articles.

1. The RPL Load Balancing in IoT Network with Burst Traffic Scenarios;Altwassi,2019

2. Large scale performance evaluation of the internet of things protocol suite for smart city solutions;Isern,2016

3. An Iot Based Efficient Waste Collection System With Smart Bins;Haque,2020

4. Applicability Statement for the Routing Protocol for Low Power and Lossy Networks (RPL) in AMI Networks;Popa,2017

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