In Wireless Sensor Networks (WSNs), each sensor node uses a battery with limited capacity, so it is important to extend its lifetime. Wireless rechargeable sensor networks (WRSNs) use wireless energy transfer technology to provide energy to sensor nodes, and thus, they have the potential to extend the lifetime of energy-limited sensor nodes to infinity, unlike traditional wireless sensor networks.
WRSNs provide energy to sensor nodes with the help of an MC. Thus, in WRSNs, it is one of the most important challenges to develop a charging scheduling scheme that determines an effective order in which sensor nodes should be charged, due to charging capability constraint such as the limited MC’s battery capacity.
Recently, several multi-criteria decision making (MCDM) based charging scheduling schemes have been proposed. However, these schemes have still connoted the problems from the viewpoint of assigning weights to multi-criteria and exploiting redundant capability of a Mobile Charger (MC).
In order to solve the above-mentioned problems, Ri Man Gun, an institute head at the Faculty of Communications, has proposed an efficient charging scheduling scheme by using an integrated FCNP-TOPSIS.
He has conducted some extensive simulation experiments to show that the proposed scheme greatly improves the charging and network performance at various performance metrics compared to the existing ones.
For more information, please refer to his paper “An integrated MCDM-based charging scheduling in a WRSN with multiple MCs” in “Peer-to-Peer Networking and Applications” (SCI).
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