2020
DOI: 10.1109/tii.2019.2916091
|View full text |Cite
|
Sign up to set email alerts
|

A Novel Approach to Reliable Sensor Selection and Target Tracking in Sensor Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 30 publications
(9 citation statements)
references
References 33 publications
0
9
0
Order By: Relevance
“…Classically, the need for selection emerges from maximization of a performance metric subject to limited resource budget, being it of economical, functional (e.g., weight of autonomous platforms), spatial (e.g., locations to place sensors), or other nature. Typical works in this field [25]- [33] focus on such budget-related constraints and pay little attention to impact on system dynamics. For example, [25] proposes selection strategies based on coverage probability and energy consumption for a target tracking problem, [33] studies a clustering-based selection to address communication constraints in underwater environments, and [31] tackles placement of cheap and expensive sensors to optimize reconstruction of dynamical variables.…”
Section: A Related Literaturementioning
confidence: 99%
“…Classically, the need for selection emerges from maximization of a performance metric subject to limited resource budget, being it of economical, functional (e.g., weight of autonomous platforms), spatial (e.g., locations to place sensors), or other nature. Typical works in this field [25]- [33] focus on such budget-related constraints and pay little attention to impact on system dynamics. For example, [25] proposes selection strategies based on coverage probability and energy consumption for a target tracking problem, [33] studies a clustering-based selection to address communication constraints in underwater environments, and [31] tackles placement of cheap and expensive sensors to optimize reconstruction of dynamical variables.…”
Section: A Related Literaturementioning
confidence: 99%
“…Finally, the target node is fused using fuzzy data fusion and fuzzy fusion rules to acquire the judgment criterion, and the wireless sensor network node deployment is completed within bounds. The authors [19][20][21] used a stepwise location technique to provide an acceptable coordinate value for the target node depending on its location by locating the triangle or tetrahedron that surrounded it.…”
Section: Related Workmentioning
confidence: 99%
“…Several similar targets include five identical red targets and similar RGB colors and five similar green targets. Continuous tracking means that in an infinitely long video clip, when the tracked target is stuck or the tracking fails, the system can redetect the target and continue tracking [27].…”
Section: Uav Target Tracking Systemmentioning
confidence: 99%