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Wireless Sensor Network WSN is tightly constrained for energy, computational power and
memory. All applications of WSN require to forward data from remote sensor node SN to base
station BS. The path length and numbers of nodes in path by which data is forwarded affect the
basic performance of WSN. In this paper we present bio-Inspired Ant Colony Optimisation ACO
algorithm for Optimal path Identification OPI for packet transmission to communicate between
SN to BS. Our modified algorithm OPI using ACO considers the path length and the number of
hops in path for data packet transmission, with an aim to reduce communication overheads.