A fundamental problem in designing sensors network is locating their position. The data collected from the sensors can be used to detect, track and organize objects of interest. In this paper, we present and evaluate an improvement of the famous DV-HOP algorithm in order to increase the localization accuracy and reduce energy consumption. The benefits of the suggested algorithm are twofold. First, it uses a new technique for solving an N-equation system and a weighted least squares method (WLS) to minimize the error of the expected distance between anchor and unknown nodes. Second, this method uses the hop-size average of the anchor node, which is computed by unknown nodes, to reduce the overall communication cost between nodes. This yields a significant reduction in both energy consumption and execution time. The performance of our proposed approach was evaluated and compared to other classical algorithms. Results show that significant enhancement is achieved within the proposed algorithm when measuring different metrics such as energy, execution time and localization error while varying simulation parameters such as the total number of nodes, percentage of anchor node and communication range.