In the Internet of Things (IoT) era, as sensing technologies have become important for computer science and technologies, new ways of utilizing sensor data are being explored. In addition to the evolution of sensor devices, we see challenging systems utilizing sensor data. The sensor data vary from device to device, e.g. human-body-based, environmental, infrastructure-related, physiological, and other data. They provide the raw material on which applications and services will be built. Sensor data can be the basis for the smart world. Due to various characteristics of sensor data and their corresponding processing requirements, such as multisource, heterogeneous, real-time, voluminous, continuous, streaming, ever-expanding and spatial-temporal, many traditional data processing and integration approaches begin to show their limitations, particularly when dealing with situations like sensor data and its application deluge.
This special issue aims to find topics from the fundamentals and applications of smart sensing: sensing techniques, signal processing of sensor data, knowledge discovery from sensor data, utilization of Web and cloud for sensor data, and new services based on sensing.
All aspects of smart sensing are welcome, including but not limited to the following topics:

Context Based on Smart Sensing
Dependability of Smart Sensing Systems
Participatory Sensing
Signal Processing of Sensor Data
Utilization of Drones/UAVs for Sensing
Smart Sensing for Smart Cities
Data Analysis for Smart Sensing
Knowledge Discovery using Sensor Data
Multimodal Smart Sensing
IoT, M2M, Cyber Physical Systems

Important Dates

* Paper submission deadline:        September 7, 2018
* Paper acceptance notification:    January 5, 2019
* Journal publication:                   July, 2019

Editors
Guest Editors:
Jin Nakazawa (Keio University), Yuusuke Kawakita (Kanagawa Institute of Technology)

Associate Editors:
Satoshi Honda, Masami Kishiro, Narito Kurata, Guillaume Lopez, Akira Mita, Michihito Shiraishi, Chika Sugimoto, Junji Takahashi, Ismail Arai, Yoshito Tobe