In modern wireless networks, knowing the precise location of devices isn’t just a luxury it’s essential, especially for areas like vehicle navigation, mobile robotics, and emergency services. Traditionally, systems have depended on a fixed set of reference points (or anchors), but in many challenging environments, these anchors aren’t enough. With the rise of Device to Device (D2D) communication, there’s now a chance to improve localization accuracy by letting devices help each other out using their own distance measurements. This study explores two methods of pinpointing a node’s location. One method uses only the traditional anchor based measurements, while the other takes advantage of D2D communication, combining both anchor and peer to peer range information. Using MATLAB for simulations and applying convex optimization (via the CVX toolbox) along with a fallback gradient descent algorithm, our analysis shows that the D2D method generally cuts localization errors by 20-30%. These findings underscore the potential value of D2D based approaches in situations where anchors are sparse or signals are noisy.