Abstract

Wireless sensor network and industrial internet of things have been a growing area of research which is exploited in various fields such as smart home, smart industries, smart transportation, and so on. There is a need of a mechanism which can easily tackle the problems of nonlinear delay integro-differential equations for large-scale applications of Internet of Things. In this paper, Haar wavelet collocation technique is developed for the solution of nonlinear delay integro-differential equations for wireless sensor network and industrial Internet of Things. The method is applied to nonlinear delay Volterra, delay Fredholm and delay Volterra–Fredholm integro-differential equations which are based on the use of Haar wavelets. Some examples are given to show the computational efficiency of the proposed technique. The approximate solutions are compared with the exact solution. The maximum absolute and mean square roots errors for distant number of collocation points are also calculated. The results show that Haar method is efficient for solving these equations for industrial Internet of Things. The results are compared with existing methods from the literature. The results exhibit that the method is simple, precise and efficient.

Highlights

  • Wireless Sensor Network (WSN) and Industrial Internet of Things (IIoT) have been growing areas of research which are exploited in various fields

  • It is evident that both L abc and Mc ( N ) errors are decreased by increasing the number of collocation points (CP)

  • We analyzed that if the error is significant, we apply it to our proposed governing equations nonlinear delay Fredholm IDEs (FIDEs), Volterra IDEs (VIDEs) and FVIDEs

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Summary

Introduction

Wireless Sensor Network (WSN) and Industrial Internet of Things (IIoT) have been growing areas of research which are exploited in various fields. The utilization of Haar wavelet has come to noticeable quality amid the most recent two decades They have far reaching applications in scientific computing, and it is no surprise that they have been extensively used in numerical approximation in the recent literature. The negative aspects of HWM are: Haar wavelet uses constant box functions and due to this we need a large number of collocation points in order to achieve better accuracy. This disadvantage can be overcome if Haar wavelet is replaced with some other wavelets having better approximating properties.

Literature Review
Haar Wavelet
Numerical Method for Nonlinear Delay IDEs Arising in WSN and IIoT
Nonlinear Delay Fredholm IDEs
Nonlinear Delay Volterra IDEs
Nonlinear Delay Volterra–Fredholm IDEs
Numerical Assessments
Results and Discussion
Conclusions
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