Abstract
Low power and lossy networks (LLNs) which are interconnected with internet to collect data through sensors and store them over the cloud make the Internet of Things (IoT). The routing protocols in LLNs play the essential role of forwarding and routing the packets. IPv6 routing protocol for Low power and lossy networks (RPL), used in LLNs has the key features of topology formation, control messages, objective function and Trickle algorithm. The trickle algorithm is a dynamic algorithm controlling the timer in RPL. There are some key parameters in the trickle algorithm that affect the functioning of the trickle timer and consequently the RPL itself. The efficiency, robustness and improvement of RPL depends to a great extent on the fine tuning of the trickle algorithm and there are no specific standard values provided for the attunement. This paper aims at creating a suitable simulation environment in Cooja Simulator over the Contiki operating system and attuning the key parameters of trickle algorithm, namely minimum interval (Imin), maximum interval (Imax) and redundancy value (k) to find out the optimum reliability of RPL.
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