The wireless sensor network (WSN) is a network of tiny embedded devices known as sensors that are connected wirelessly and can communicate wirelessly with each other. The applications of WSN are useful in many areas like health care monitoring, area monitoring, environmental/earth sensing (for agriculture), pollution monitoring, movements of terrorists in the high forest area (military), monitoring of LPG pipes laid in deep underwater, waste water monitoring, structural health monitoring and many more [1, 2]. The sensor devices of WSN are responsible for the transfer of information across the sensor network to the base station (BS), using some techniques that enhance the lifetime of the network by saving a substantial amount of energy. To reduce communication costs, we aimed to remove redundant sensor node information by multi-sensor data fusion (MSDF) method and avoid forwarding data that is of no use (known as redundant/dead-weight data). For instance, in sensing and monitoring applications, generally the neighbouring sensor nodes monitoring an environmental feature typically register similar values. In our proposed work we have considered the concept of MSDF for fusing the collected data before transmission occurs and ant colony optimization (AGO) techniques for efficiently routing the data from source to the BS using multi-hop routing techniques. The combination of these two techniques was experimented using Matlab simulations and the results proved that a substantial amount of energy could be saved. Section 1.1 gives an insight into the MSDF techniques in detail.