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A Collocation Method for Numerical Solution of Nonlinear Delay Integro-Differential Equations for Wireless Sensor Network and Internet of Things

Rohul Amin, Shah Nazir, Iván García‐Magariño

2020Sensors31 citationsDOIOpen Access PDF

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.

Topics & Concepts

Collocation (remote sensing)Haar waveletNonlinear systemCollocation methodWireless sensor networkComputer scienceWirelessWireless networkDifferential equationMathematicsWaveletMathematical analysisWavelet transformTelecommunicationsComputer networkOrdinary differential equationArtificial intelligenceDiscrete wavelet transformMachine learningPhysicsQuantum mechanicsFractional Differential Equations SolutionsDifferential Equations and Numerical MethodsIterative Methods for Nonlinear Equations