Proposal for a wireless sensor network visualization system using location estimation technology

2014 ◽  
Author(s):  
Yukihiro Kanamaru ◽  
Hidekazu Suzuki ◽  
Kensaku Asahi ◽  
Akira Watanabe
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Location Estimation ◽  
Wireless Sensor ◽  
Network Visualization ◽  
Visualization System

scholarly journals A Research Cluster based Scheme for Node Positioning in Indoor Environment

2019 ◽  
Vol 8 (6S) ◽  
pp. 79-83
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Indoor Environment ◽  
Cluster Head ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Location Estimation ◽  
Wireless Sensor ◽  
Localization Error ◽  
Network Efficiency

Location estimation in Wireless Sensor Network (WSN) is mandatory to achieve high network efficiency. Identifying the positions of sensors is an uphill task as monitoring nodes are involved in estimation and localization. Clustered Positioning for Indoor Environment (CPIE) is proposed for estimating the position of the sensors using a Cluster Head (CH) based mechanism. The CH estimates the number of neighbor nodes in each floor of the indoor environment. It sends the requests to the cluster members and the positions are estimated based on the Received Signal Strength Indicators (RSSIs) from the members of the cluster. The performance of the proposed scheme is analyzed for both stable and mobile conditions by varying the number of floors. Experimental results show that the propounded scheme offers better network efficiency and reduces delay and localization error

scholarly journals Device Free Localisation Techniques in Indoor Environments

2019 ◽  
Vol 69 (4) ◽  
pp. 378-388 ◽  
Author(s):  
K S Anusha ◽  
Ramachandran Ramanathan ◽  
M Jayakumar
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Location Estimation ◽  
Wireless Sensor ◽  
Ultrasonic Frequency ◽  
Indoor Environments ◽  
Research Directions ◽  
Positioning Systems ◽  
Potential Benefits ◽  
Device Free

The location estimation of a target for a long period was performed only by device based localisation technique which is difficult in applications where target especially human is non-cooperative. A target was detected by equipping a device using global positioning systems, radio frequency systems, ultrasonic frequency systems, etc. Device free localisation (DFL) is an upcoming technology in automated localisation in which target need not equip any device for identifying its position by the user. For achieving this objective, the wireless sensor network is a better choice due to its growing popularity. This paper describes the possible categorisation of recently developed DFL techniques using wireless sensor network. The scope of each category of techniques is analysed by comparing their potential benefits and drawbacks. Finally, future scope and research directions in this field are also summarised.

scholarly journals Improved Energy and Communication for Underwater Wireless Sensor Network Based Location Estimation

2021 ◽  
Vol 9 (11) ◽  
pp. 998-1004
Author(s):  
Priyanka Jain
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Location Estimation ◽  
Least Square ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Acoustic Sensor Networks

Abstract: The area of underwater wireless sensor networks (UWSNs) is garnering an increasing attention from researchers due to its broad potential for exploring and harnessing oceanic sources of interest. Because of the need for real-time remote data monitoring, underwater acoustic sensor networks (UASNs) have become a popular choice. The restricted availability and nonrechargeability of energy resources, as well as the relative inaccessibility of deployed sensor nodes for energy replenishment, forced the development of many energy optimization approaches un the UASN. Clustering is an example of a technology that improves system scalability while also lowering energy consumption. Due to the unstable underwater environment, coverage and connectivity are two important features that determine the proper detection and communication of events of interest in UWSN. A sensor network consists of several nodes that are low in cost and have a battery with low capacity. In wireless sensor networks, knowing the position of a specific device in the network is a critical challenge. Many wireless systems require location information from mobile nodes. Keywords: MAC, Communication cost, IDV-Hop algorithm, Localization, Ranging error, unconstrained optimization, Wireless sensor network, Distributed Least Square

scholarly journals Accurate location estimation of moving object In Wireless Sensor network

2011 ◽  
Vol 1 (4) ◽  
pp. 71 ◽  
Author(s):  
Vijay Bhaskar Semwal ◽  
Vinay Bhaskar Semwal ◽  
Meenakshi Sati ◽  
Shirshu Verma
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Location Estimation ◽  
Moving Object ◽  
Wireless Sensor
Sign in / Sign up

Export Citation Format

Share Document