— In this thesis, the extra burden of the nodes that are within the neighbourhood of the base station in a cluster-based network has been modelled as extra virtual member nodes. We virtually divide the network into regions according to the proximity to the BS denoting the closest region as the front region and the farthest region as the rear region. The nodes have been classified according to the region that they fall in. Based on our model, transmission tuning algorithm for cluster-based WSNs has been proposed to balance the load among cluster heads that fall in different regions. This algorithm is applied prior to a cluster algorithm to improve the performance of the clustering algorithm without affection the performance of individual sensor nodes. As a result, the network lifetime has been prolonged.