Data traffic classification in wireless sensor network-based home automation systems
College of Computer Studies
Ambient intelligent home automation systems allow technologies to be installed within a home to recognize the inhabitant including his or her affect and activities then respond accordingly. A requirement of such systems is to gather data from a multitude of different sensors, each exhibiting different monitoring behavior. While wireless sensor networks (WSN) have been a popular platform to support such applications, they are constrained by low bandwidth and processing power; hence the traffic must be managed so that data may be delivered in a timely manner despite the limited resources. This study aims to propose an approach to classify home automation system traffic based on their delivery requirements, and formulating a data collection algorithm that provides their delivery requirements.
Ong, A. L., & Cu, G. G. (2012). Data traffic classification in wireless sensor network-based home automation systems. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/8593
OS and Networks
Wireless sensor networks; Home automation