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Elastic Hop Count Trickle Timer Algorithm in Internet of Things

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The Internet of Things (IoT) is a technology that allows machines to communicate with each other without the need for human interaction. Usually, IoT devices are connected via a network. A wide range of network technologies are required to make the IoT concept operate successfully; as a result, protocols at various network layers are used. One of the most extensively used network layer routing protocols is the Routing Protocol for Low Power and Lossy Networks (RPL). One of the primary components of RPL is the trickle timer method. The trickle algorithm directly impacts the time it takes for control messages to arrive. It has a listen-only period, which causes load imbalance and delays for nodes in the trickle algorithm. By making the trickle timer method run dynamically based on hop count, this research proposed a novel way of dealing with the difficulties of the traditional algorithm, which is called the Elastic Hop Count Trickle Timer Algorithm. Simulation experiments have been implemented using the Contiki Cooja 3.0 simulator to study the performance of RPL employing the dynamic trickle timer approach. Simulation results proved that the proposed algorithm outperforms the results of the traditional trickle algorithm, dynamic algorithm, and e-trickle algorithm in terms of consumed power, convergence time, and packet delivery ratio.
Title: Elastic Hop Count Trickle Timer Algorithm in Internet of Things
Description:
The Internet of Things (IoT) is a technology that allows machines to communicate with each other without the need for human interaction.
Usually, IoT devices are connected via a network.
A wide range of network technologies are required to make the IoT concept operate successfully; as a result, protocols at various network layers are used.
One of the most extensively used network layer routing protocols is the Routing Protocol for Low Power and Lossy Networks (RPL).
One of the primary components of RPL is the trickle timer method.
The trickle algorithm directly impacts the time it takes for control messages to arrive.
It has a listen-only period, which causes load imbalance and delays for nodes in the trickle algorithm.
By making the trickle timer method run dynamically based on hop count, this research proposed a novel way of dealing with the difficulties of the traditional algorithm, which is called the Elastic Hop Count Trickle Timer Algorithm.
Simulation experiments have been implemented using the Contiki Cooja 3.
0 simulator to study the performance of RPL employing the dynamic trickle timer approach.
Simulation results proved that the proposed algorithm outperforms the results of the traditional trickle algorithm, dynamic algorithm, and e-trickle algorithm in terms of consumed power, convergence time, and packet delivery ratio.

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