There are two main schemes of charging scheduling of a mobile charger (MC): periodic and on-demand. The latter schedules on-demand charging of a BS or MS, whose order is determined by temporal and spatial factors of request nodes. Recently, several intelligent on-demand charging scheduling schemes combined with multi-criteria have been proposed. Multi-criteria that conflict with each other, such as residual energy, distance to the MC, energy consumption rate, traffic relay load of charging request nodes, etc., play a key role in determining the charging priority of charging request nodes. However, which theory should be applied to determining the most suitable charging order of request nodes with such contradictory criteria is still a challenge that needs urgent solution.
Among the various multi-criteria decision making (MCDM) methods, the FAHP-TOPSIS method combined with fuzzy analytical hierarchy process (FAHP) and the technique for order preference by similarity to ideal solution (TOPSIS) are most widely used.
From the inspiration that an integrated MCDM in charging scheduling using multi-criteria could be effectively available throughout the whole charging scheduling process, Ri Man Gun, an institute head at the Faculty of Communication, has proposed a novel charging scheduling scheme based on an integrated FAHP-VWA-TOPSIS (iFVT).
Using an iFVT, he has also proposed a method of accurately calculating the relative weights of multi-criteria and determining the most suitable next-to-be-charged node by combinatorial evaluation of multi-criteria of request nodes
You can find the details in his paper published in “The 14th international Conference on Computing, Communication and Networking Technology (ICCCNT 2023)”.
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