Enhancement of RWSN Lifetime via Firework Clustering Algorithm Validated by ANN

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.

Load balanced fuzzy‐based unequal clustering for wireless sensor networks assisted Internet of Things

“…IoT consists of a huge amount of sensor nodes that are to be deployed, so the main issue of IoT is to handle them and their servicing and maintenance cost is very high . Moreover, the replacement of sensor nodes batteries that are already placed is also very high as they are deployed in a very harsh environment …”

“…28 Moreover, the replacement of sensor nodes batteries that are already placed is also very high as they are deployed in a very harsh environment. 29 For IoT applications, LEACH protocol 30 is extensively improved by several researchers for the betterment of the network performances of the IoT systems. Other protocols of WSNs can also be modified to enhance the network performance of the IoT systems.…”

Enhanced Energy-Efficient Heterogeneous Routing Protocols in Wsns for IOT Application

“…One of the significant issues of sensors that will be conveyed, as far as the expense of adjusting and upkeep [8]. Further supplanting tiny sensor backup which is now situated inside the system scope can be a dreary activity [9]. This prompts another significant test which is to control the board.…”

The Augmented Approach towards Equilibrated Nexus Era into the Wireless Rechargeable Sensor Network

“…However, on-demand charging approaches are considered a feasible solution for deployment of wireless rechargeable sensor networks. The present approach for on-demand charging deploys a single wireless charging device for the energy replenishment task of the sensor nodes [11,12]. In [13], a weighted grid-clustering algorithm is presented, in which the whole network is alienated into small grids and serves a charging request to replenish the energy of the corresponding sensor nodes dependent on a one-to-many charging scheme.…”

“…Where (x i , y i ) represent the horizontal and vertical coordinates of each sensor node. The distance between the center position of the region and sensor nodes calculated according to the Formula (12), based on the sensor node's coordinates.…”