Dayana Pravin, V. and Vijeyakumar, K.N. (2012) Target Tracking in Sensor Networks Using Energy Efficient Prediction Based Clustering Algorithm. Procedia Engineering, 38, 2070-2076.
http://dx.doi.org/10.1016/j.proeng.2012.06.249

has been cited by the following article:

• TITLE: A WSN-Based System for Country Border Surveillance and Target Tracking

  AUTHORS: Noureddine Boudriga

  KEYWORDS: Wireless Sensor Networks, Country Border Surveillance, Target Tracking, Sensor Deployment

  JOURNAL NAME: Advances in Remote Sensing, Vol.5 No.1, March 14, 2016

  ABSTRACT: Target tracking using wireless sensor networks offers multiple challenges because it usually involves intensive computation and requires accurate methods for tracking and energy consumption. Above all, scalability, energy optimization, efficiency, and overhead reduction are some among the key tasks for any protocol designed to perform target tracking using large scale sensor networks. Border surveillance systems, on the other side, need to report border crossings in a real time manner. They should provide large coverage, lower energy consumption, real time crossing detection, and use efficient tools to report crossing information. In this paper, we present a scheme, called Border Cooperative and Predictive Tracking protocol (BCTP), capable of energyaware surveillance and continuous tracking of objects and individuals’ crossing a country border and anticipating target motion within a thick strip along the border and estimating the target exit zone and time.