Abstract
Nowadays, wireless power transfer is ubiquitously used in wireless rechargeable sensor networks (WSNs). Currently, the energy limitation is a grave concern issue for WSNs. However, lifetime enhancement of sensor networks is a challenging task need to be resolved. For addressing this issue, a wireless charging vehicle is an emerging technology to expand the overall network efficiency. The present study focuses on the enhancement of overall network lifetime of the rechargeable wireless sensor network. To resolve the issues mentioned above, we propose swarm intelligence based hard clustering approach using fireworks algorithm with the adaptive transfer function (FWA-ATF). In this work, the virtual clustering method has been applied in the routing process which utilizes the firework optimization algorithm. Still now, an FWA-ATF algorithm yet not applied by any researcher for RWSN. Furthermore, the validation study of the proposed method using the artificial neural network (ANN) backpropagation algorithm incorporated in the present study. Different algorithms are applied to evaluate the performance of proposed technique that gives the best results in this mechanism. Numerical results indicate that our method outperforms existing methods and yield performance up to 80% regarding energy consumption and vacation time of wireless charging vehicle.
Highlights
Wireless communication and networks have become very popular in the last decade because of the increasing status and popularity of devices like wearables, vehicles, smart phones, sensors, actuators, and tablets having powerful multimedia applications and capabilities
This study aims to improve the energy efficient communication as found in wireless sensor networks which aims to eradicate the congestion problem
The partition line for the network region calculated with the help of a firework algorithm (FWA-ATF)
Summary
Wireless communication and networks have become very popular in the last decade because of the increasing status and popularity of devices like wearables, vehicles, smart phones, sensors, actuators, and tablets having powerful multimedia applications and capabilities. The research report of CISCO suggests that global mobile data traffic would be 49 Exabytes by 2021 [2]. It envisages that annual mobile data traffic would exceed half a zettabyte. Internet of Things has played the pivotal and inevitable role in the evolution of wireless communication. It has a great significance on the technical, social and economic perspectives. The current studies show that 100 billion connected IoT devices are currently in use, but they would become 11 trillion by
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