Adaptive learning assisted routing in Wireless Sensor Network using Multi Criteria Decision model

Wireless Sensor Network (WSN) is one of the most demanding research topics prevalent in the modern research domain. WSN consists of densely deployed sensor nodes in the area which is to be sensed or monitored. Every tiny sensor node needs to transmit the sensed data to more powerful sink nodes. Sensed data may reach sink node through multiple hops. As the sensor nodes are resource constrained, most of the data forwarding algorithms employ threshold values of key parameters and implement event driven routes. Instead, we consider multiple parameters simultaneously for determining route to send the data to sink. In this paper, we propose routing scheme using Multi Criteria Decision Making technique where each criterion is assigned with a weight. An adaptive learning method is used to determine the weights. This routing scheme ensures robust packet reception ratio.