A New Joint Data Collection and Wireless Energy Transfer (SSDCWC) Strategy for Rechargeable Wireless Sensor Network

Nowadays, wireless sensor networks (WSNs) have two primary goals: data collecting and energy efficiency. Mobile sinks can be used to gather data and mobile chargers to recharge energy when visiting a group of Cluster Heads (CHs). A mobile VAN (MV) combines a mobile sink with a mobile charger to extend the lifetime of energy efficiency in wireless sensor nodes. Trying to figure out the visiting orders of the CHs makes wireless data collection and charging a challenge. In this study, we introduce a novel technique called Santosh Soni Data Collection and Wireless Charging (SSDCWC) algorithm that addresses the difficulties raised above. Data is collected from CHs, and charges are calculated depending on their requests or demands using the suggested methodology, which employs mobile VAN. Mobile VAN monitors routes and visits CHs in response to requests. The suggested method separates the network using a clustering algorithm known as Low Energy Adaptive Clustering Hierarchy (LEACH). The validity of this study's conclusions is demonstrated by comparing the newly designed algorithm SSDCWC to three other algorithms: Joint mobile wireless energy transmitter and data collector (J-METDC), Single path scheduling scheme (SPSS), and Mobile to cluster (M2C). Furthermore, SSDCWC outperforms J-METDC, SPSS, and M2C by 8.71%, 19.27%, and 27.07%, respectively, for varying numbers of sensor nodes.