scholarly journals Time of Arrival Based on Chirp Pulses as a means to Perform Localization in IEEE 802.15.4a Wireless Sensor Networks

2010 ◽  
Vol 10 (2) ◽  
pp. 65-70 ◽  
Author(s):  
A. Van NIEUWENHUYSE ◽  
J. WYFFELS ◽  
J.-P. GOEMAERE ◽  
L. De STRYCKER ◽  
B. NAUWELAERS
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Time Of Arrival ◽  
Ieee 802.15.4A

scholarly journals Development and Application of a New Positioning Algorithm for Wireless Sensor Networks

2018 ◽  
Vol 14 (10) ◽  
pp. 80
Author(s):  
Guohong Gao ◽  
Feng Wei ◽  
Jianping Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Measurement Error ◽  
Wireless Sensor ◽  
Time Of Arrival ◽  
Unknown Parameters ◽  
Positioning Method ◽  
Research Findings ◽  
Positioning Algorithm ◽  
Technical Basis

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">This paper aims to create a desirable positioning method for nodes in wireless sensor networks (WSNs). For this purpose, a source node positioning algorithm was developed based on time-of-arrival (TOA), in view of the nonlinear correlation between the measured values and unknown parameters in the observation equation of TOA source position. Several experiments were carried out to evaluate the performance of the proposed algorithm in terms of time measurement error, computing complexity, location error and Cramér–Rao lower bound (CRLB). The results show that the CRLB acquired by this algorithm can be used for WSN node positioning, provided that the independent zero mean Gauss measurement error is sufficiently small. The research findings lay a solid technical basis for optimal management, load balance, efficient routing, and automatic topology control of WSNs.</span>

Measurements Used in Wireless Sensor Networks Localization

2009 ◽  
pp. 33-53
Author(s):  
Fredrik Gustafsson ◽  
Fredrik Gunnarsson
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Time Synchronization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Time Of Arrival ◽  
General Observation ◽  
Network Nodes ◽  
Sonic Wave

Wireless sensor networks (WSN) localization relies on measurements. Availability of, and the information content in, these measurements depend on the network architecture, connectivity, node time synchronization and the signaling bandwidth between the sensor nodes. This chapter addresses wireless sensor networks measurements in a general framework based on a set of nodes, where each node either emits or receives signals. The emitted signal can for example be a radio, acoustic, seismic, infrared or sonic wave that is propagated in a certain media to the receiver. This general observation model does not make any difference between localization of sensor network nodes or unknown objects, or whether the nodes or objects are stationary or mobile. The information available for localization in wireless cellular networks (WCN) is in literature classified as direction of arrival (DOA), time of arrival (TOA), time difference of arrival (TDOA) and received signal strength (RSS). This chapter generalizes these concepts to the more general wireless sensor networks.

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