Indoor Location Tracking Using Time of Arrival Estimation Method

2020 ◽  
Vol 10 (2) ◽  
pp. 290-297
Author(s):  
Nandita Sreekumar ◽  
Shoney Sebastian
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Node ◽  
Estimation Method ◽  
Location Based Services ◽  
Wireless Sensor ◽  
Time Of Arrival ◽  
Location Tracking ◽  
Indoor Location ◽  
Mobile Sensor Node ◽  
Common Application

Background & Objective: Location-based services enable collection of location-oriented information which finds use in various fields. Methods: With its utility found in so many applications, various localization techniques are adopted to improve these services. One such property of a signal which is used for these estimations is known as ‘Time of Arrival’ property. The ‘Time of Arrival’ property of a signal is the time difference for a signal to go from the transmitter to the receiver. The most common application is to navigate through places, finding or tracking your personal belongings, targeted advertisements by knowing the nearby popular places and various other services like augmented reality gaming among others. Results & Conclusion: Through this paper, we demonstrate a method to track the location of a mobile sensor node using Trilateration algorithm with the help of Time of Arrival (ToA) property of signals. The time of arrival of packets at each node is recorded and data collected from the simulation of a wireless sensor network for this experiment is spread across various distributions to find the optimum statistical inference.

A Whole Rate-Distortion Optimize Pronounce Based on Wireless Sensor Network

2013 ◽  
Vol 756-759 ◽  
pp. 890-894 ◽  
Author(s):  
Qing Sheng Yu ◽  
Jian Zhang ◽  
Jin Xiang Peng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Estimation Method ◽  
Rate Distortion ◽  
Video Encoding ◽  
Mode Decision ◽  
Wireless Sensor ◽  
Block Basis ◽  
Decision Scheme ◽  
Macro Block

Based on the Joint Video Team (JVT) of the ITU-T Video Coding Experts Group VC EG and the IS O/IEC Moving Picture Experts Group MPEG, an RD optimal Macro Block mode decision scheme for Internet error channel streaming is introduced. The scheme employs the luminance Rate Distortion (RD) optimal mode decision scheme so as to take the effects of video encoding distortion and the channel error propagation to get higher error robustness for error transmission. Based on the Wireless Sensor Network, this paper analyzes the data distortion problem when transmitting H.264 coded video stream over error-prone channel. And the authors also have discussed a widely accepted technique that introduces more intra-coded information on macro block basis. Additionally, this paper introduces a simple loss and multiplication factor estimation method, the rate-distortion optimized assessing strategy over the whole situation.

SiFi

2021 ◽  
Vol 2 (3) ◽  
pp. 1-21
Author(s):  
Deke Guo ◽  
Xiaoqiang Teng ◽  
Yulan Guo ◽  
Xiaolei Zhou ◽  
Zhong Liu
Keyword(s):  
Rapid Development ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Location Based Services ◽  
Shopping Mall ◽  
Inference Problem ◽  
Indoor Location ◽  
Label Semantics ◽  
Geometrical Constraints ◽  
Indoor Scenes

Due to the rapid development of indoor location-based services, automatically deriving an indoor semantic floorplan becomes a highly promising technique for ubiquitous applications. To make an indoor semantic floorplan fully practical, it is essential to handle the dynamics of semantic information. Despite several methods proposed for automatic construction and semantic labeling of indoor floorplans, this problem has not been well studied and remains open. In this article, we present a system called SiFi to provide accurate and automatic self-updating service. It updates semantics with instant videos acquired by mobile devices in indoor scenes. First, a crowdsourced-based task model is designed to attract users to contribute semantic-rich videos. Second, we use the maximum likelihood estimation method to solve the text inferring problem as the sequential relationship of texts provides additional geometrical constraints. Finally, we formulate the semantic update as an inference problem to accurately label semantics at correct locations on the indoor floorplans. Extensive experiments have been conducted across 9 weeks in a shopping mall with more than 250 stores. Experimental results show that SiFi achieves 84.5% accuracy of semantic update.

Design of a Wireless Sensor Network Node Based on STM32

2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Node ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Communication Module ◽  
Design Factors

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.

Power Layer Energy Efficient Routing Protocol in Wireless Sensor Network (PLRP)

2013 ◽  
Vol 5 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Sardjoeni Moedjiono ◽  
Aries Kusdaryono
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Sensor Node ◽  
Base Station ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Energy Efficient Routing

Preserving energy of sensor node in wireless sensor network is an effort to prolong the lifetime of network. Energy of sensor node is very crucial because battery powered and irreplaceable. Energy conservation of sensor node is an effort to reduce energy consumption in order to preserve resource for network lifetime. It can be achieved through efficient energy usage by reducing consumption of energy or decrease energy usage while achieving a similar outcome. In this paper, the authors propose power layer energy efficient routing protocol in wireless sensor network, named PLRP, which use power control and multi-hop routing protocol to control overhead of sensor node and create clustering to distribute energy dissipation and increase energy efficiency of all sensor node. The main idea of PLRP is the use of power control, which divide sensor node into group by base station uses layer of energy and maximize the computation energy in base station to reduce computational energy in sensor node for conservation of network lifetime. The performance of PLRP compared to BCDCP and BIDRP based of hierarchical routing protocol. The simulation results show that PLRP achieve 25% and 30% of improvement on network lifetime.

scholarly journals Design of a State Monitoring System for Equipment based on the Zigbee Wireless Sensor Network

2016 ◽  
Vol 12 (06) ◽  
pp. 20 ◽  
Author(s):  
Li Hua ◽  
Xu Da ◽  
Fuquan Zhao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
State Monitoring ◽  
Sensor Module ◽  
Wireless Module ◽  
Hardware Circuit

For the sake of overcoming the shortcoming of some equipment such as complex wiring and much measurement parameter, a wireless state monitoring system is developed based on Zigbee, which was composed of upper monitor control PC, wireless gateway CC2530, sensor node CC2530 and sensor module. By studying the characteristic of the equipment, wireless sensor network of a center controller and six wireless sensor node was made up. Then the nod hardware circuit were designed, the wireless module software was programmed by C language, and furthermore, the user interface software was developed based on LabVIEW. The test is done to show that the system can meet state monitoring requirements for some equipment.

scholarly journals The aerospace wireless sensor network system compatible with microwave power transmission by time- and frequency-division operations

2015 ◽  
Vol 2 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Satoshi Yoshida ◽  
Naoki Hasegawa ◽  
Shigeo Kawasaki
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Microwave Power ◽  
Sensor Node ◽  
Power Transmission ◽  
Wireless Sensor ◽  
Packet Error Rate ◽  
Stable Operation ◽  
Network System ◽  
Frequency Division

A novel wireless sensor network system with compatibility of microwave power transmission (MPT) using a Gallium Nitride (GaN) power amplifier has been fabricated and tested. The sensor node operates using electrical power supplied by the MPT system. Time- and frequency-division operations are proposed for the compatibility. Under the frequency-division operation, receiving signal strength indicator of −85 dBm and packet error rate of <1% were measured when the available DC power of a rectifier with 160 mW output power. Under 120-min measurement, sustainable power balance between radio-frequency–DC conversion and power consumption in stable operation of the sensor node was achieved.

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