A border surveillance system using WSN under various environment characteristics

Autor: Noureddine Boudriga, Imen Arfaoui
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Sensor Networks. 30:263
ISSN: 1748-1287
1748-1279
DOI: 10.1504/ijsnet.2019.101247
Popis: Surveillance has become a promising application area of wireless sensor networks (WSNs) where detecting and tracking an intruder as it moves through a sensor network is becoming an increasingly important challenge. This motivates us to investigate the impact of some factors such as the area geography and the intruders behaviours. For this, we present in this paper an efficient surveillance system that uses a WSN deployed inside a border area in order to detect an intruder at least N times from its entrance. The proposed surveillance system is examined under various environment characteristics. First, we focus on modeling the area into multi-thick lines architecture. Then, we provide a deployment method to detect the intruder from its entrance in an area without obstacles. Finally, we investigate the effect of the obstacles in the area and we provide a general surveillance system for detection purpose that considers different intruders behaviours.
Databáze: OpenAIRE