Abstract
In a wireless sensor network, wireless Energy transfer is a demanding technology for the energy difficulties in recent times. The foremost disadvantage of presentation is limited duration because WSN contains only restricted battery energy at a node. Therefore, we anticipated cluster-related wireless energy transfer in this document. The foremost intention of the method is to augment the duration of the sensor network through charging by the help of this wireless power transfer technology. So that, mobile charging vehicle (MCV) is established to move within the network and charge the sensor node battery wireless. The sensor nodes in the network are collected as a cluster for energy efficiency. Here, the cluster head is chosen for each one cluster in the network which is based on the rank metric value. Suppose, if one node in the network is reducing its energy, then the CH will send charge request and route ID to the MCV. Afterward, the MCV recognize the node by means of the exacting route and establish to charge the node. The reproduction consequences illustrate that the network lifetime of our anticipated method is enhanced than obtainable method.
1 Introduction
Generally, the wireless sensor network contains several battery sensors. Sensors misplace its energy on sensing, conveying and receiving. The battery charge will also misplace in redundant condition. In wireless sensor network, the demanding procedure is to augment the energy efficiency of the node in recent times. When the nodes are motorized by means of a battery, then it contains only restricted duration. If the battery stage of sensor nodes is restricted, then the energy-effectiveness enhancement is a foremost confront. In the process of sending, the sensors misplace their energy. Recently, the sensor performs a foremost function in all areas particularly in health care observation [1]. Previously, several researchers put their attempt to extend the duration of sensor network [2–4].
5 Conclusion
In this document, we proposed cluster-related wireless energy transfer and our method are replicated by means of the network simulator NS2. Here, the sensors of the network are gathered as a cluster and the cluster head for every cluster is preferred by the help of rankrelated weight metrics value. The choice of the node among a least hop count is used to take place the routing. Suppose, if a node in the cluster is exhausted its energy, then the cluster head sends the charge request to the MCV for to accuse the node. Our simulation consequences are illustrated about the network lifetime of our anticipated method.
