International Conference on Information Processing in Sensor Networks
摘要截稿: 2017-09-29
全文截稿: 2017-10-06
开会时间: 2018-04-11
会议难度:
CCF分类: B类
会议地点: Porto, Portugal
Overview
The International Conference on Information Processing in Sensor Networks (IPSN) is a leading annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of multiple of these areas.
New: In addition to IPSN's traditional focus areas, IPSN 2018 will also include two tracks: - Internet of Things (IoT) - Data and Machine Learning
The IoT track will focus on issues related to IoT. Submission should refer to specific IoT related issues in the topic areas listed below, including but not limited to, hardware, software, system design, new architectures, modeling, evaluation, design methods, implementations, tools, or deployment experiences.
The DML Track will focus on data and machine learning related issues in IPSN topic areas. Submission should refer to specific data and machine learning issues related in the topic areas listed below. Topics can include but are not limited to, new system design to enable machine learning (e.g. hardware, software, algorithm, and architectures, etc.), novel machine learning algorithms for data related to IPSN topic areas (e.g. modeling, signal processing, interpretation, efficiency, evaluation, etc.), and data issues in IPSN topic area (e.g. structure, management, database, methods, tools, analysis, etc.). Other topics in the topic areas listed below but does not specifically address IoT or DML topics should be submitted to the general track.