Main Article Content
As the Internet of Things (IoT) facilitates the communication among the things/nodes in the network, it created its remarkable place in the current research. The sensors are the main nodes in IoT which generates data continuously and hence huge amount of data is generated in IoT. This paper presents a Learning Automata (LA)and agent based architecture for processing data locally inIoT. As the data being generated in IoT is huge, mostly the data will be offloaded to cloud or any servers which are capable of performing huge and complex computations. But in the case of proposed architecture, the data is made to process locally. The data processing is done by the master M-agent of a particular node and slave m-agent from other nodes. This agent is capable of migrating among different nodes in the network. Learning Automata is used to determine the number of replications of agentis to be done. The cost function is used to test the performance of proposed system. The proposed architecture is proved to be performing effectively when compared to the system without LA..
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.