Preventive Model on Quality of Service in IOT Applications

The Internet of Things (IoT) is a new paradigm that has changed the traditional way of living into a high tech life style. IoT applications such as smart homes and buildings, smart health care, smart environment, smart city, smart energy and grid, smart transportation and mobility, smart manufacturing and retail, smart agriculture, etc. are using billion devices and trillion sensors which generate enormous data with use of heterogeneous devices and networks every day. But an internet communication in IoT application creates a greater demand on the underlying communication, which affects the quality of service (QoS).QoS is another important factor for IoT can be defined as a measure to evaluate the quality, efficiency and performance of IoT devices, systems and architectures. The important and required QoS metrics for IoT applications are reliability, cost, energy consumption, security, availability and service time, end to end delay, throughput, jitter and packet delivery. With the increase in number of IoT device on the network, it has become essential to concentrate on QoS of devices and smooth data transformation over the networks. This research paper, surveying different challenges and key issues of IoT applications towards QoS such as reliability, interoperability, heterogeneity, energy, cost, security etc.Based on the survey identification we propose a better approach (or) model to reduce the QoS problems arrive in IoT applications. This research will also help the researchers to understand the challenges in various IoT applications and also discussedthe adaptive models to increase the QoS in IoT