Abstract
The internet of things is a worldwide technological development in communications. Low Power and Lossy Networks (LLN) are a fundamental part of the internet of things with numerous monitoring and controlling applications. This network has many challenges as well, due to limited hardware and communication resources, which causes problems in applications such as routing, connections, data transfer, and aggregation between nodes. The IETF group has provided a routing model for LLN networks, which expands IPv6 protocol based on Routing Protocol (RPL). The pro-posed decision system DDSLA-RPL creates a list of limited k member optimal parents based on qualitatively effective parameters such as hop, link quality, SNR rate, and ETX energy consumption, by informing child nodes of their connection link to available parents. In the routing section, a decision system approach based on learning automata has been proposed to dynamically determine and update the weight of influential parameters in routing. The effective parameters in the routing phase of DDSLA-RPL include battery depletion index, connection delay, and node queuing and throughput. The results of the simulation show that the proposed method outperforms other methods by about 30, 17, 20, 18, and 24 percent in mean longevity and energy efficiency, graph sustainability, operational power and latency, packet delivery rate test, and finally number of control messages test, respectively.
Highlights
With the major developments of technology and the increasing popularity of digital tools and infrastructure, the communication needs of societies have undergone significant alteration
Homaei et al.: DDSLA-Routing Protocol (RPL): Dynamic Decision System Based on Learning Automata most important part of the internet of things, distinguishes it from other distributed systems [4]
Our goal was to focus on the quality of routing services in the Internet of Things, especially the RPL method, and based on the effective parameters in providing quality of services, we have presented our idea with metrics of network structure and quality of routing services in a comprehensive method called DDSLA-RPL based on a multi-criteria decision-making system
Summary
With the major developments of technology and the increasing popularity of digital tools and infrastructure, the communication needs of societies have undergone significant alteration. The internet of things is a world issue, and because of its increasing applications, it has created a large amount of data These data must be first transferred to target servers to be processed. Homaei et al.: DDSLA-RPL: Dynamic Decision System Based on Learning Automata most important part of the internet of things, distinguishes it from other distributed systems [4]. These limitations affect the design of wireless sensor networks including protocols and algorithms different from other categories of the internet of things.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
