Atieh Rezaei - Department Electrical and Computer Engineering,Faculty of Sepideh Kashani, Birjand Branch, Technical and Vocational University(TVu), Birjand, Iran

A Wireless Sensor Network (WSN) is developed with a large number of sensor nodes. Packet transfer in this network presents a range of challenges to protocol designers dueto resource constrained, limited battery power, processing power and storage capacity of sensor nodes. The applications that produce high volumes of data which require high transmission rates, may cause congestion in the sensor node and leading to packet loss and impairments in the quality of service. If data transmission to the network is not controlled, congestion status can arise and decrease network lifetime. Therefore, we need various congestion detection mechanisms to identify congestion. In this paper, we present a Prediction based Congestion Detection (P-CD) technique in order to identify congestion before congestion occurrence. Then we compare introduced techniquewith an Artificial Neural Network (ANN) based prediction. These techniques use queue length as a parameter to recognition congestion

Wireless Sensor Networks (WSNs), Congestion detection, Queue length, Prediction, ARIMA model