出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：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 A CO 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
