• Nenhum resultado encontrado

Distributed RSS-Based Localization in Wireless Sensor Networks Based on Second-Order Cone Programming

N/A
N/A
Protected

Academic year: 2021

Share "Distributed RSS-Based Localization in Wireless Sensor Networks Based on Second-Order Cone Programming"

Copied!
23
0
0

Texto

Loading

Imagem

Figure 1. A possible second-order coloring scheme for a network with |V| = 13 nodes.
Figure 2. Illustration of the cost functions (4) and (7) versus x and y coordinates (target location); the minimum of the cost function is indicated by a white square
Figure 3. Simulation results for cooperative localization when L 0 is known: normalized root mean square error (NRMSE) versus k comparison for different N , when M = 50, σ = 0 dB, R = 6 m, B = 30 m, L 0 = 40 dB, γ = 3, d 0 = 1 m, M c = 500
Figure 5 illustrates the NRMSE versus k performance of the considered approaches for σ = 6 dB.
+4

Referências

Documentos relacionados

The integrated use of these two operational research (OR) methods should allow the problem at hand (i.e. the clas- sification of tenants in the residential rental market) to be

The second phenomenon that the PSO-C is more efficient in energy consumption than LEACH can be analyzed based on the uniformity property of their clusters. Figure 6

In this paper, we have proposed a unified PARAFAC-based modeling approach for the received signal of three multiuser wireless communication systems em- ploying an antenna array

The following topics have marked the scientific knowledge production in what refers to the research that the participants of the line are actually working: novice and

Chegando ao final desta pequena análise sobre as relações ou contratos de intermediação financeira existentes entre intermediários financeiros e investidores, com

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)