Open AccessA PERUSAL STUDY OF METHODS FOR ENERGY EFFICIENT MULTI OBJECT TRACKING IN WIRELESS SENSOR NETWORKS
Author(s) -
Vaishali P.Barde
Publication year - 2021
Publication title -
international research journal of computer science
Language(s) - English
Resource type - Journals
ISSN - 2393-9842
DOI - 10.26562/irjcs.2021.v0812.002
Subject(s) - wireless sensor network , video tracking , computer science , key distribution in wireless sensor networks , tracking (education) , object (grammar) , process (computing) , real time computing , efficient energy use , tracking system , mobile wireless sensor network , wireless network , wireless , computer network , engineering , artificial intelligence , telecommunications , kalman filter , electrical engineering , psychology , pedagogy , operating system
Wireless sensor networks (WSNs) has various applications in different areas such as object detection and target tracking, industrial process monitoring, environmental monitoring, wildlife monitoring, Robot control and security applications for buildings. In WSNs, Energy efficiency is one of the important research issues, as it determines the lifetime of the sensor network deployed for the specific applications. Object tracking is one of the dominant applications of wireless sensor networks and many energy-efficient multi object tracking algorithms are used for precise or exact object tracking. The main focus this paper is the perusal study of all different energy-efficient object tracking methods and algorithms for Wireless Sensor Network.