Paper Info
Title
Low-complexity 3D target tracking in Wireless Aerial Sensor Networks
Abstract
With the proliferation of the application areas of the Wireless Sensor Networks (WSNs) and the technological advances in sensor electronics, target tracking has become one of the most important functions in WSNs. The overwhelming majority of moving target tracking studies in WSNs has assumed either one-dimensional space (lineland), or two-dimensional domain (flat-land). However, many existing, such as environmental monitoring of rugged terrain, structural health monitoring of buildings, underground and underwater WSN applications, and emerging applications, such as search-and-rescue via Micro Aerial Vehicles, reconnaissance by insect-sized flying robots, need target tracking in three-dimensional space. In this study, we assume a Wireless Aerial Sensor Network (WASN) with conventional low-power and low-complexity features and devise a low spatial and temporal complexity moving target tracking mechanism in 3D based on g-h filter that considers measurement errors. Our prefatory simulations show promising preliminary results for our approach in terms of very low inaccuracy rates between the true location of the target and the forecasts at the sink node as well as negligible estimate errors in terms of Euclidean distance.
Year
DOI
Venue
2014
10.1109/ICC.2014.6883347
Communications
Keywords
Field
DocType
aircraft,target tracking,wireless sensor networks,low complexity 3D target tracking,low complexity feature,low power sensor,moving target tracking,sensor electronics,wireless aerial sensor networks,wireless sensor networks
Key distribution in wireless sensor networks,Wireless,Computer science,Visual sensor network,Computer network,Real-time computing,Mobile wireless sensor network,Electro-optical sensor,Wi-Fi array,Robot,Wireless sensor network
Conference
ISSN
Citations 
PageRank 
1550-3607
5
0.53
References 
Authors
34
3
Name
Order
Citations
PageRank
Suleyman Uludag130217.13
Murat Karakus2285.03
Evrim Guler3104.34