RPL Protocol Research Topics

RPL Protocol Research Topics is the topic here we converse about. It is one of the routing protocols for wireless network technology. It is employed in many of the fields and it will overcome some of the existing technology issues by proposing this protocol. In this research we provide the details or concepts that are relevant to this proposed technique, the RPL protocol.

  1. Define RPL Protocol

At the starting stage of the research we first begin with the definition for this proposed RPL protocol. RPL is the expansion of Routing Protocol for Low-Power for Lossy Network. It is planned to satisfy the needs of Low-power and lossy networks, like 6LoWPAN (IPv6 over Low Power Wireless Personal Area Network). It is a routing protocol for wireless networks which take low power and are vulnerable to packet loss. RPL is a distance-vector routing protocol which is based on the same standard as Zigbee.

  1. What is RPL Protocol?

Next to the definition we look for an in-depth understanding for this proposed technique. RPL is a routing protocol for wireless networks with low power consumption and particularly vulnerable to packet loss. It is an effective protocol on the basis of distance vectors and it will work on IEEE 802.15.

  1. Where RPL Protocol used?

Afterwards the in-depth understanding we converse where to utilize this RPL protocol. The Routing Protocol for Low-Power and Lossy Networks (RPL) is a standard routing protocol for Low-Power Wireless Personal Area Networks (6LoWPAN). It is also utilized in Internet of Things (IoT), Wireless sensors, Networks and other domains.

  1. Why RPL Protocol technology proposed? , previous technology issues

In this research the RPL protocol is proposed and this will be proposed to tackle the issues in the previous technology. The primary difficulties on this routing protocol is based on the objective function in low power and lossy IoT networks which will be traffic aware network, security and reliability, convergence time, computational complexity and attack detection. Some of the issues in the existing technologies are Decreased Throughput, Limitation in Traffic Control, Decreased PDR, Network Size, High energy consumption and End-end Delay and Impact in Load Balancing.

  1. Algorithms / protocols

Our proposed RPL protocol utilizes the following methods or techniques to overcome the issues in the existing technologies. The methods that we employed to tackle the issues are as follows: DODAG Information Solicitation (DIS) message with Trickle fitted with Learning Automata (DIS-LA-T) for network convergence performance, Secure RPL (Sec-RPL) for routing, Support Vector Machine Improved Principle Component Analysis with Reinforcement-Learning (SVM-IPCA-RL-RAD) for attack detection, MSLBOF-S-S for load balancing and DDSLA for traffic congestion.

  1. Comparative study / Analysis

We compared various methods or techniques in this research to obtain the novel techniques with best outcomes for this research. The methods that we compared are as follows:

  • By using the DDSLA technology we enhance the network traffic in the condition of improving nodes with heavy congestion.
  • To increase the load balancing using multi-sink it displays a high reduction in routing loss ratio through Multi-Sink Load Balancing Objective Function with sink-to-sink coordination framework (MSLBOF-S-S).
  • We achieve routing in all kinds of network sizes with the convergence forecasting and decreasing it by utilizing the novel DODAG Information Solicitation (DIS) message with the Trickle equipped with Learning Automata (DIS-LA-T).
  • By executing the machine learning based novel SVM-IPCA-RL-RAD we will lessen the rank, version and DoS attacks in the network. Over this process we will highly decrease the energy consumption of the system.
  • Utilizing the Secure RPL (Sec-RPL) we enhance the PDR that improves with improving network size.
  1. Simulation results / Parameters

Now we have to compare several parameters or performance metrics with the existing technologies and to obtain that our proposed RPL protocol will give the best findings for this research. The metrics that we compared are: Energy (in joules) with Time (in min) and Packet Delivery Ratio with No of malicious nodes and the Delay with Simulation time (in min), and the Convergence time (sec), Energy Consumption (in Joules) and Throughput with No. of nodes.

  1. Dataset LINKS / Important URL

The subsequent links are used to go through the concept or the definition for this proposed RPL technology. We offered some crucial links to overview the details of RPL protocol.

  1. RPL Protocol Applications

Let’s look for the applications to be used for this research, the RPL protocol. The RPL (routing protocol for low-power and lossy networks) has more applications. Some of the applications are: IoT applications, Industrial, Wireless Sensor Networks, Urban, Building Automation and Home Automation.

  1. Topology and Environment for RPL Protocol

In particular the RPL utilizes a hierarchical structure routing topology as Destination-Oriented Directed Acyclic Graph (DODAG). And it is rooted in the direction of one or more nodes as a sink node or root node.

  1. Simulation tools

Our proposed RPL protocol uses the following software requirements to execute this proposed research. Here for this research we utilize the network simulator namely Contiki-3.x with Cooja simulator. Then the operating system that we used to implement this research is Ubuntu 20.04.

  1. Results

The proposed RPL protocol is a routing protocol for wireless networks that is now being widely employed in many of the applications. This technique overcomes the limitations in the existing technology. The network simulator that is used to operate this research is Contiki-3.x with Cooja simulator.

RPL Protocol Research Ideas:

The succeeding we offered are the research topics that are employed to go through the descriptions or the concepts that are related to this proposed RPL (Routing protocol for Low Power and Lossy Networks) technique.

  1. Comprehensive Study of Parent Selections with Trickle Timers for RPL Protocol in AMI Network
  2. SBR: A Novel Architecture of Software Defined Network Using the RPL Protocol for Internet of Things
  3. DDSLA-RPL: Dynamic Decision System Based on Learning Automata in the RPL Protocol for Achieving QoS
  4. An Adaptive Communication Routing Algorithm in Dual-mode Heterogeneous Field Network of Power Distribution Grid Based on RPL Protocol
  5. Performance Analysis of Internet of Things Routing Protocol for Low Power and Lossy Networks (RPL): Energy, Overhead and Packet Delivery
  6. The Routing Protocol for low power and lossy networks (RPL) under Attack: Simulation and Analysis
  7. A New Routing Protocol for Low-Power and Lossy Networks Utilizing Computational Intelligence over IoT Networks
  8. Feature Selection Using Firefly Algorithm for Classification of Attacks in Routing Protocol for Low Power Lossy Networks (LLNs) Based Internet of Things (IoT) Networks
  9. Extended Context-Aware and Load Balancing Routing Protocol for Low power and Lossy Networks in IoT networks (ECLRPL)
  10. Performance of Routing Protocol for Low-Power and Lossy Networks in Heterogeneous Traffic Load Wireless Sensor Networks
  11. Using The Cooja Simulator, Analysing The Routing Protocol (RPL) For Low Power And Lossy Networks In IoT
  12. Contiki Based Routing Protocol (RPL) Analysis Using IPV6 Sensor Networks For IoT With Low Power And Lossy Networks
  13. Analysing the Performance of RPL Routing Protocol for Heterogeneous Traffic in Constrained Environments
  14. Performance Analysis of Anti-Attack methods for RPL routing protocol in 6LoWPAN networks
  15. Comparative Analysis of Trickle Timer Aware RPL Routing Protocols for Low Power & Lossy IoT Networks
  16. Improved Trickle Algorithm Toward Low Power and Better Route for the RPL Routing Protocol
  17. RPL routing protocol over IoT: A comprehensive survey, recent advances, insights, bibliometric analysis, recommendations, and future directions
  18. A lightweight distributed detection algorithm for DDAO attack on RPL routing protocol in Internet of Things
  19. MFO-RPL: A secure RPL-based routing protocol utilizing moth-flame optimizer for the IoT applications
  20. IMDRPL: Identifying and eliminating malicious devices using DIO and DAO ICMP control messages in RPL-based protocol
  21. An Intrusion Detection System using Deep Cellular Learning Automata and Semantic Hierarchy for Enhancing RPL Protocol Security
  22. Performance Evaluation of RPL Protocol Under Decreased and Increased Rank Attacks: A Focus on Smart Home Use-Case
  23. Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments
  24. Correction: Static to dynamic transition of RPL protocol from IoT to IoV in static and mobile environments
  25. Performance Analysis of Routing Protocol for Low Power and Lossy Networks (RPL) for IoT Environment
  26. A 2-Colorable DODAG Structured Hybrid Mode of Operations Architecture for RPL Protocol to Reduce Communication Overhead
  27. RPL-OC: Extension of RPL Protocol for LLN Networks Based on the Operator Calculus Approach
  28. Towards an Enhanced Minimum Rank Hysteresis Objective Function for RPL IoT Routing Protocol
  29. Effect of IEEE 802.15.4 MAC Layer on Energy Consumption for Routing Protocol for Low Power Lossy Networks (RPL)
  30. Performance Analysis of RPL Protocol for Advanced Metering Infrastructure (AMI): Objective Functions Impact on Data and Control Traffic
  31. Contiki Cooja Security Solution (CCSS) with IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) in Internet of Things Applications
  32. AI-enhanced context-aware optimization of RPL routing protocol for IoT environments
  33. A Lightweight Countermeasure to DIS Attack in RPL Routing Protocol
  34. Emerging Challenges and Solutions in RPL Protocol: Research Review
  35. Impacts of Objective Function on RPL-Routing Protocol: A Survey
  36. An Optimized RPL Protocol for Energy Efficient IoT Networks
  37. Investigation of MCDM on Multi-parent Selection for RPL Protocol
  38. Learning Automata -Based RPL Routing Protocol for IoT with Mobility (LA -RPL – Mobility)
  39. Congestion Aware Genetic Q-learning Based RPL Routing Protocol for Vehicle Ad-Hoc Networks
  40. A Fuzzy logic based objective function to improve reliability of RPL routing protocol in LLNs
  41. A survey on Mobility Under RPL Routing Protocol
  42. Analysis of Various RPL Protocol Objective Functions for Quality of Service Parameters
  43. Rank Attack (RA) Detection in RPL Protocol based on Network Characteristics
  44. RPL Based Emergency Routing Protocol for Smart Buildings
  45. RPL Routing Protocol for Data Transmisison in Internet of Things Applications
  46. Congestion Aware Q-Learning (CAQL) in RPL Protocol – WSN based IoT Networks
  47. A Comparative Analysis of RPL-based Routing Protocols for Internet of Things
  48. A Review of RPL Based Routing Protocols in Vehicular Ad Hoc Networks (VANET)
  49. Contiki based Anatomization of Routing Protocols for Low-Power and Lossy Networks In IoT
  50. Analysis of Routing Protocol for Low Power and Lossy Networks Attack Behavior on the Internet of Things