2016/05/29 by Gabriel Martins Dias, Dias, Gabriel Martins, Toni Adame +5
Computer Science · #C.2.1 #Context-Aware Activity Recognition Systems #D.2.11 #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #FOS: Electrical engineering #H.4.3 #Networking and Internet Architecture (cs.NI) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1605.09011
openalex publication_date 2016/05/29 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28
Wireless sensor networks (WSNs) have been adopted as merely data producers\nfor years. However, the data collected by WSNs can also be used to manage their\noperation and avoid unnecessary measurements that do not provide any new\nknowledge about the environment. The benefits are twofold because wireless\nsensor nodes may save their limited energy resources and also reduce the\nwireless medium occupancy. We present a self-managed platform that collects and\nstores data from sensor nodes, analyzes its contents and uses the built\nknowledge to adjust the operation of the entire network. The system\narchitecture facilitates the incorporation of traditional WSNs into the\nInternet of Things by abstracting the lower communication layers and allowing\ndecisions based on the data relevance. Finally, we demonstrate the platform\noptimizing a WSN's operation at runtime, based on different real-time data\nanalysis.\n