1 **Affiliation :
**Department of Mathematics, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India

** Email : **jvprbh1@gmail.com

2 **Affiliation :
**Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, B.P 7955, Sidi Othman, Casablanca, Morocco

** Email : **broumisaid78@gmail.com

3 **Affiliation :
**Department of Mathematics, Arts and Sciences Faculty, Bitlis Eren University, Bitlis, Turkey

** Email : **s.topal@beu.edu.tr

Received: August 07, 2020 Accepted: December 03, 2020

**Abstract : **

Routers steer and bid network data, through packets that hold a variety of categories of data such as records, messages, and effortless broadcasts like web interface. The procedure of choosing a passageway for traffic in a network or between several networks is called routing. Starting from telephone networks to public transportation the principles of routing are applied. Routing is the higher-level decision making that directs network packets from their source en route for their destination through intermediate network nodes by specific packet forwarding mechanisms. The main function of the router is to set up optimized paths among the different nodes in the network. An efficient novel routing algorithm is proposed with the utilization of neutrosophic fuzzy logic in this work addition to many routing algorithms for finding the optimal path in the literature. In this approach, each router makes its own routing decision in the halting time. Various concepts like routing procedures, most expected vector, most expected object, and list of estimated delay are explained.

**Keywords : **

Neutrosophic fuzzy set , Neutrosophic fuzzy routing , Generated Vector , Neutrosophic fuzzy vector , Most expected object , Neutrosophic most expected vector , Neutrosophic fuzzy list of estimated delay , internet of things.

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