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Bi-level energy optimization model in smart integrated engineering systems using WSN

P. Ajay, B. Nagaraj, J. Jaya

2022Energy Reports88 citationsDOIOpen Access PDF

Abstract

Based on fuzzy relational inequality, a bi-level linear programme optimizes the visible light brightness and operating costs of access points in a wireless transmission station system. Consider the first computing problem utilizing a minimum solution matrix. A convex infinite set is generated by a restricted number of closed intervals. Second, computing is an objective-domain nonlinear mathematical optimization problem. A multi-objective optimization problem is used to solve the second programming challenge. The constraint set must be used. Use discrete optimization techniques and branch-and-bound procedures for “digital integer linear programming”. Our technique has been shown to be both practical and successful. The programming complexity increases as the organization expands.

Topics & Concepts

Mathematical optimizationLinear programmingNonlinear programmingInteger programmingOptimization problemConvex optimizationComputer scienceDomain (mathematical analysis)Set (abstract data type)Semidefinite programmingLinear matrix inequalityNonlinear systemMathematicsRegular polygonGeometryPhysicsQuantum mechanicsMathematical analysisProgramming languageEnergy Efficient Wireless Sensor NetworksEnergy Harvesting in Wireless NetworksAdvanced Multi-Objective Optimization Algorithms
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