Node Localization in Wireless Sensor Networks using Trilateration and Multilateration

The study and analysis presented in this Phase-1 report focused on the conceptual understanding and system design of node localization in Wireless Sensor Networks (WSNs) using Trilateration and Multilateration techniques. Localization is an essential aspect of WSNs because the usefulness of sensed data depends on the accurate determination of sensor node positions. Without proper localization, monitoring and tracking applications cannot provide meaningful results. During this phase, a detailed literature survey was conducted to study different localization techniques, including range-based, range-free, and hybrid approaches. The survey indicated that geometric localization methods such as Trilateration and Multilateration provide a good balance between localization accuracy, computational efficiency, and implementation simplicity. These techniques are highly suitable for small and medium-scale Wireless Sensor Network applications. Based on the theoretical study, a MATLAB-based simulation framework was proposed for node localization. The system design includes anchor nodes with known coordinates, unknown nodes requiring localization, and distance measurements used for position estimation. Trilateration is used for basic geometric localization, while Multilateration improves localization accuracy using multiple anchor nodes and optimization methods. Performance evaluation parameters such as Localization Error, Computation Time, and Anchor Density were also identified for analyzing system efficiency. Although this phase mainly focused on theoretical analysis and system planning, the developed methodology and simulation structure provide a strong foundation for future implementation. The mathematical models, workflow design, and algorithmic approaches have been clearly defined for the next phase of the project. Therefore, the Phase-1 work successfully establishes the conceptual and methodological base for developing an efficient Wireless Sensor Network localization system using MATLAB simulation.

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