Electrical Charge Station and Charge Detection Using QoS - aware Hybrid Learning routing protocol in Wireless sensor network for Electrical vehicle.

Abstract

In this Abstract, In Electrical vehicle wireless sensor networks, an novel QoS -aware Hybrid Learning routing protocol(Qos-AHLRP) is very important to ensure that the key sensing data can be forwarded in a reliable path and solve the energy balance problem. In this paper, Electrical vehicle we classify the sensing data into three data types and set their priority, we present a novel QoS- aware Hybrid Learning routing protocol(Qos-AHLRP) to support high data rate for wireless multimedia sensor networks[6]. Hybrid learning that combines of Machine learning Techniques(Deep learning and Reinforcement learning (RL))[26] .The proposed (Qos-AHLRP)protocol works in a distributed manner to ensure bandwidth and end- to-end delay requirements of real-time data. And also Simulate average delay, average lifetime and network throughput. The results categorized in terms of the average amount of packet received and power conservation rate[10]. The QoS-aware Hybrid Learning routing protocol(Qos- AHLRP) model was determined, showed enhanced results regarding both parameters. In the end, they are comparing these results with (Deep learning and Reinforcement learning (RL)).