Charging Path Optimization in Mobile Networks | IEEE Journals & Magazine | IEEE Xplore

Charging Path Optimization in Mobile Networks


Abstract:

We study a class of generic charging path optimization problems arising from emerging networking applications, where mobile chargers are dispatched to deliver energy to m...Show More

Abstract:

We study a class of generic charging path optimization problems arising from emerging networking applications, where mobile chargers are dispatched to deliver energy to mobile agents (e.g., robots, drones, vehicles), which have specified tasks and mobility patterns. We instantiate our work by focusing on finding the charging path maximizing the number of nodes charged within a fixed time horizon. We show that this problem is APX-hard. By recursively decomposing the problem into sub-problems of searching sub-paths, we design quasi-polynomial-time algorithms achieving logarithmic approximation to the optimum charging path. Our approximation algorithms can be further adapted and extended to solve a variety of charging path optimization and scheduling problems with realistic constraints, such as limited time and energy budget.
Published in: IEEE/ACM Transactions on Networking ( Volume: 30, Issue: 5, October 2022)
Page(s): 2262 - 2273
Date of Publication: 26 April 2022

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