Academy & Industry Research Collaboration Center
Wireless Sensor Network (WSN) is tightly constrained for resources like energy, computational power and memory. Many applications of WSN require to communicate sensitive information at Sensor Nodes (SN) to Base Station (BS). The basic performance of WSN depends upon the path length and numbers of nodes in the path by which data is forwarded to BS. In this paper, the authors present bio-inspired Ant Colony Optimization (ACO) algorithm for Optimal Path Identification (OPI) for packet transmission to communicate between SN to BS.