EBCO - Efficient boundary detection and tracking continuous objects in WSNs

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

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Recent research in MEMS (Micro-Electro-Mechanical Systems) and wireless communication has enabled tracking of continuous objects, including fires, nuclear explosions and bio-chemical material diffusions. This paper proposes an energy-efficient scheme that detects and tracks different dynamic shapes of a continuous object (i.e., the inner and outer boundaries of a continuous object). EBCO (Efficient Boundary detection and tracking of Continuous Objects in WSNs) exploits the sensing capabilities of sensor nodes by automatically adjusting the sensing range to be either a boundary sensor node or not, instead of communicating to its neighboring sensor nodes because radio communication consumes more energy than adjusting the sensing range. The proposed scheme not only increases the tracking accuracy by choosing the bordering boundary sensor nodes on the phenomenon edge, but it also minimizes the power consumption by having little communication among sensor nodes. The simulation result shows that our proposed scheme minimizes the energy consumption and achieves more precise tracking results than existing approaches.

Original languageEnglish
Pages (from-to)2901-2919
Number of pages19
JournalKSII Transactions on Internet and Information Systems
Issue number11
Publication statusPublished - 2012 Nov 30


  • Boundary detection of phenomenon
  • Continuous object tracking
  • Wireless sensor network

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications


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