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Distributed Algorithm for Target Localization in Wireless Sensor Networks Using RSS and AoA Measurements

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Academic year: 2021

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Figure 1: Illustration of a target and anchor locations in a 3-D space.
Figure 2: Illustration of the objective functions in (7), (11) and (15) versus x (m) and y (m) coordinates (target location); the minimum of the objective function is indicated by a white square.
Table 1: Computational Complexity of the Considered Algorithms Algorithm Complexity SOCP T max × M × O   max i {3|E A i | + |E T i |}  3.5  SR-WLS T max × M × O  N max × max i {3|E A i | + |E T i |}  uSOCP T max × M × O   max i {3|E A i | + |E T i |}  3.5
Figure 3: NRMSE versus t comparison, when N = 20, M = 50, R = 6.5 m, σ n ij = 3 dB, σ m ij = 6 deg, σ v ij = 6 deg, γ ij ∈ U[2.7, 3.3], γ = 3, B = 20 m, P 0i ∈ U[−12, −8] dBm, d 0 = 1 m, M c = 500
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Keywords: Target localization, wireless sensor network (WSN), received signal strength (RSS), angle of arrival (AoA), convex optimization, maximum likelihood (ML)

Keywords: Target localization, target tracking, wireless sensor network, received signal strength (RSS), angle of arrival (AoA), convex optimization, maximum likelihood (ML)

Keywords: Target localization, wireless sensor network (WSN), received signal strength (RSS), angle of arrival (AoA), convex optimization, maximum likelihood (ML)