An Energy Efficient and QoS Aware Routing Algorithm Based on Data Classification for Industrial Wireless Sensor Networks

In industrial wireless sensor networks, an energy-efficient quality-of-service (QoS) routing algorithm 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, we classify the industrial sensing data into three data types and set their priority. Furthermore, we give the reliability parameters and timeliness parameters, and we propose and establish the candidate forwarding node set in order to balance the energy consumption. Subsequently, an energy-efficient and QoS aware routing algorithm is designed, and in this routing algorithm, different kinds of data can be forwarded with different strategies. Furthermore, the most important industrial sensing data are guaranteed to be transmitted to the sink node reliably and timely and common data can be transmitted effectively, too. All these data will be forwarded to the optimal relay node under the circumstance of that the data requirements of real time and reliability are satisfied. The simulation results show that the high timeliness event data can be transmitted real time and reliability than the other type of data. And our proposed routing algorithm is effective compared with the similar algorithms.