The book "Distributed Network Structure Estimation Using Consensus Methods" offers a comprehensive analysis and innovative approaches to estimating the structure of distributed wireless sensor networks (WSN). These networks are applied in various fields, including military surveillance, sustainability, health monitoring, and the Internet of Things (IoT). Compared to centralized, wired networks, distributed WSNs provide advantages such as scalability and robustness against sensor node failures. The authors present a detailed literature review on relevant topics such as graph theory, network analysis, and existing consensus algorithms. Additionally, a novel distributed algorithm for counting the total number of nodes in a WSN with noisy communication channels is introduced. The algorithms presented are suitable for most connected distributed networks and are theoretically analyzed and validated through simulations. The book provides valuable insights into the use of these algorithms for capturing global data information and determining coverage areas.