Performance Enhancement in Distributed Sensor Localization Using Swarm Intelligence

2012 ◽  
Author(s):  
Maneesha V. Ramesh ◽  
Divya P.L. ◽  
Rekha P. ◽  
Raghavendra V. Kulkarni
Keyword(s):  
Swarm Intelligence ◽  
Performance Enhancement ◽  
Sensor Localization ◽  
Distributed Sensor

Multi-frequency tuning technique for distributed sensor localization

2013 ◽  
Author(s):  
Bobin Yao ◽  
Wenjie Wang ◽  
Feilong Wu ◽  
Qinye Yin
Keyword(s):  
Frequency Tuning ◽  
Sensor Localization ◽  
Distributed Sensor

scholarly journals Demand-driven Movement Strategy for Moving Beacons in Distributed Sensor Localization

2011 ◽  
Vol 4 ◽  
pp. 2226-2235 ◽  
Author(s):  
Anindya Iqbal ◽  
Manzur Murshed
Keyword(s):  
Sensor Localization ◽  
Distributed Sensor ◽  
Movement Strategy

A Computationally Efficient Approach for Distributed Sensor Localization and Multitarget Tracking

2020 ◽  
Vol 24 (2) ◽  
pp. 335-338 ◽  
Author(s):  
Kai Da ◽  
Tiancheng Li ◽  
Yongfeng Zhu ◽  
Qiang Fu
Keyword(s):  
Multitarget Tracking ◽  
Computationally Efficient ◽  
Sensor Localization ◽  
Distributed Sensor ◽  
Efficient Approach

A Uniformly Distributed Mobile Sensor Nodes Deployment Strategy Using Swarm Intelligence

2015 ◽  
pp. 537-572
Author(s):  
Chinmoy Ghorai ◽  
Arpita Debnath ◽  
Abhijit Das
Keyword(s):  
Swarm Intelligence ◽  
Sensor Nodes ◽  
Optimal Placement ◽  
Mobile Nodes ◽  
Distributed Sensor ◽  
Physical Conditions ◽  
Deployment Strategy ◽  
Movement Strategies ◽  
Mobile Sensor Nodes ◽  
The Universe

WSN consists of spatially dispersed and dedicated sensors for monitoring the physical conditions of the universe and organizing the collected data at a central location. WSN incorporates a gateway that provides wireless connectivity back to the wired world and distributed sensor nodes. Various applications have been proposed for WSN like Ecosystem and Seismic monitoring, where deployment of nodes in a suitable manner is of an immense concern. Currently, sensor nodes are mobile in nature and they are deployed at an accelerated pace. This chapter focuses on developing the mobile nodes in an apt technique to meet the needs of WSNs properly. It considers the swarm intelligence-based movement strategies with the assistance of local communications through which the randomly deployed sensors can arrange themselves to reach the optimal placement to meet the issues like lower cost, lower power consumption, simpler computation, and better sensing of the total area.

scholarly journals Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes

2009 ◽  
Vol 57 (5) ◽  
pp. 2000-2016 ◽  
Author(s):  
U.A. Khan ◽  
S. Kar ◽  
J.M.F. Moura
Keyword(s):  
Random Environments ◽  
Sensor Localization ◽  
Distributed Sensor ◽  
Anchor Nodes
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