@inproceedings{6949786b1d9c45a98bd89226e0c5ae18,
title = "Network activation control according to traffic characteristics in sensor networks for IoT",
abstract = "Sensor networks are an important technology for Internet of Things (IoT) connectivity. Sensor networks consists of numerous objects and the objects named sensor nodes collect information in access networks of IoT. They are transmitted the information to a network server which is placed in Cloud. In the sensor field (i.e., the access network of IoT), there are three kinds of traffic can be generated: event-driven, query-driven and periodic traffic. The traffic is classified and analyzed at the network server. The most of monitoring applications for IoT employs cluster-based network architecture. Each cluster gathers local sensing data and traffic characteristic of clusters is determined by the collected local data. This paper proposes network activation control of the clusters according to the traffic characteristic in order to minimize power consumption of sensor networks.",
keywords = "Internet of Things, Network activation control, Sensor network, Traffic characteristic",
author = "Kim, {Dae Young} and Jeong, {Young Sik} and Seokhoon Kim",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 ; Conference date: 19-12-2016 Through 21-12-2016",
year = "2017",
doi = "10.1007/978-981-10-3023-9_57",
language = "English",
isbn = "9789811030222",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "371--375",
editor = "Vincenzo Loia and {Jong Hyuk Park}, {James J.} and Gangman Yi and Yi Pan",
booktitle = "Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016",
address = "Germany",
}