Distance Measurement-Based Cooperative Source Localization: A Convex Range-Free Approach

Fuzzy Logic;Range-Free;Localization;Radical Axis;Convex optimization;Gradient Descent;Electrical and Computer Engineering

Kiraz, Fatma

University of Waterloo

关键词: Fuzzy Logic;    Range-Free;    Localization;    Radical Axis;    Convex optimization;    Gradient Descent;    Electrical and Computer Engineering;   

Others  :  https://uwspace.uwaterloo.ca/bitstream/10012/7709/1/Kiraz_Fatma.pdf

瑞士|英语

来源: UWSPACE Waterloo Institutional Repository

【 摘 要 】

One of the most essential objectives in WSNs is to determine the spatial coordinatesof a source or a sensor node having information. In this study, the problem of rangemeasurement-based localization of a signal source or a sensor is revisited. The main challenge of the problem results from the non-convexity associated with range measurementscalculated using the distances from the set of nodes with known positions to axed sen-sor node. Such measurements corresponding to certain distances are non-convex in twoand three dimensions. Attempts recently proposed in the literature to eliminate the non-convexity approach the problem as a non-convex geometric minimization problem, usingtechniques to handle the non-convexity.This study proposes a new fuzzy range-free sensor localization method. The methodsuggests using some notions of Euclidean geometry to convert the problem into a convexgeometric problem. The convex equivalent problem is built using convex fuzzy sets, thusavoiding multiple stable local minima issues, then a gradient based localization algorithmis chosen to solve the problem.Next, the proposed algorithm is simulated considering various scenarios, including thenumber of available source nodes, fuzzi cation level, and area coverage. The results arecompared with an algorithm having similar fuzzy logic settings. Also, the behaviour ofboth algorithms with noisy measurements are discussed. Finally, future extensions of thealgorithm are suggested, along with some guidelines.