A collaborative scheme for boundary detection and tracking of continuous objects in WSNs

Chauhdary Sajjad Hussain, Myong Soon Park, Ali Kashif Bashir, Sayed Chhattan Shah, Jeongjoon Lee

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

With rapid advancements in MEMS technologies, sensor networks have made possible a broad range of applications in real time. Object tracking and detection is one of the most prominent applications for wireless sensor networks. Individual object tracking and detection has been intensively discussed, such as tracking enemy vehicles and detecting illegal border crossings. The tracking and detection of continuous objects such as fire smoke, nuclear explosions and hazardous bio-chemical material diffusions pose new challenges because of the characteristics of such objects, i.e., expanding and shrinking in size, changing in shape, splitting into multiple objects or merging multiple objects into one over time. A continuous object covers a large area over the network and requires extensive communication to detect and track. Tracking continuous objects accurately and efficiently is challenging, whereas extensive communication consumes massive energy in the network, and handling energy in wireless sensor network (WSNs) is a key issue in prolonging the lifetime of a network. In this paper, we propose collaborative boundary detection and tracking of continuous objects in WSNs. The proposed scheme adopts local communication between sensor nodes for the purpose of finding boundary nodes; boundary nodes enhance energy efficiency. The scheme uses an interpolation algorithm to find the boundary points and to acquire a precise boundary shape for the continuous object. The proposed scheme not only improves the tracking accuracy but also decreases energy consumption by reducing the number of nodes that participate in tracking and minimizing the communications cost. Simulation results show a significant improvement over the existing solutions.

Original languageEnglish
Pages (from-to)439-456
Number of pages18
JournalIntelligent Automation and Soft Computing
Volume19
Issue number3
DOIs
Publication statusPublished - 2013 Aug 1

Fingerprint

Boundary Detection
Wireless Sensor Networks
Wireless sensor networks
Communication
Nuclear explosions
Object Tracking
Object Detection
Vertex of a graph
Smoke
Merging
Sensor nodes
Sensor networks
MEMS
Energy efficiency
Interpolation
Fires
Energy utilization
Vehicle Tracking
Object
Communication Cost

Keywords

  • Boundary detection
  • Continuous object tracking
  • Inner boundary
  • Outer boundary
  • Wireless sensor network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics

Cite this

A collaborative scheme for boundary detection and tracking of continuous objects in WSNs. / Hussain, Chauhdary Sajjad; Park, Myong Soon; Bashir, Ali Kashif; Shah, Sayed Chhattan; Lee, Jeongjoon.

In: Intelligent Automation and Soft Computing, Vol. 19, No. 3, 01.08.2013, p. 439-456.

Research output: Contribution to journalArticle

Hussain, Chauhdary Sajjad ; Park, Myong Soon ; Bashir, Ali Kashif ; Shah, Sayed Chhattan ; Lee, Jeongjoon. / A collaborative scheme for boundary detection and tracking of continuous objects in WSNs. In: Intelligent Automation and Soft Computing. 2013 ; Vol. 19, No. 3. pp. 439-456.
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