The Wireless Sensor Networks (WSNs) play a vital role in our society, as they have become the archetype of pervasive technology. WSNs consist of an array of sensors of either the same or diverse types, interconnected by communication network. Fundamental design objectives of the sensor networks include reliability, accuracy, flexibility, cost, effectiveness and ease of deployment. Sensors perform routing function to create single or multi-hop wireless networking to convey data from one to other sensor nodes. The rapid deployment, self-organization and fault-tolerance characteristics of WSNs make them promising for a number of military and civilian applications.

 WSN is treated as multi-modal and multi-dimensional optimization problem and addressed through Computational Intelligence involving the minimization of an objective function error.

 The main aim of this Special Session is to inquire the new aspects of Computational Intelligence algorithms in WSN to minimize the computational complexity and also improve the performance.