Matrix based Internet of Things for Product Surfing

Authors

  • Sunil Kumar Kashyap
  • Vijayant Verma
  • Abhishek Badholia

Keywords:

IoT, Matrix, Internet, function, vector, bilinear transformation.

Abstract

This paper presents an idea on matrix IoT. The product-surfer matrix is defined by IoT based on pause time during internet surfing. This study will be beneficial for industries. The discrete distribution is defined for product and its generalization is appeared as the matrix. The IoT function is established by the one-to-one correspondence. Each element of the product domain is associated with the unique element of the matrix. It presents in vector form to distribute discretely for surfing the product as per the preceding surfing by bilinear transformation. The Proposed IoT comprises with the matrix characteristics thus it characters are generalized towards the unique presentation. This is applied to surf the product. The eigen values of the square matrix associates with the cost of products and its sequence. Its trace transforms the products into the objects for converging the selection of products based on the preceding surfing. This is an additional benefit of the proposed IoT. The structure of this paper is as follows. The first section describes the implementation and development of IoT as a literature review. Next, on the formulation of the proposed IoT is presented. Matrix representation based IoT ss an application to surf the products efficiently. The justification of matrix applied to propose an IoT in context to theoretical and practical scenario is presented in this section. The execution of the algorithm and formulation is described in the penultimate section. In the final section, the absoluteness and relativeness of the proposed formulation and its impact are consolidated as conclusion.

Published

2021-12-14