The massive data streams and diverse modalities of digital information sources being captured at incredible rates have enriched the confluence of intelligent sensors, ubiquitous computing, networking technologies, wireless sensor networks, data mining, machine learning, and data visualization. The emerging technology also has boosted many promising applications in environmental sensing, urban mobility, transportation, emergency response, social networks, healthcare, security, IT infrastructure, and smart–city applications. However, the technical challenges involved in these emerging applications lie in the intersection of multiple disciplines. Thus, ISSNIP 2015 will include three technical tracks, intelligent sensors, sensor networks, and information processing, to focus on different topics in sensor research.<br>The track on Intelligent Sensors aims at attracting major advances and breakthroughs in sensor technologies, design of circuits and systems, energy sources, packaging technologies, and microsystem integration. The intelligent sensor ideally offers sensing and actuating capabilities combined with on–node computation and communication functions, while implemented in extremely miniaturized form factor and operating in an energy–autonomous manner. The need for intelligent sensors opens up many technical challenges and opportunities.<br>The track on Sensor Networks is designed to attract diverse participation from researchers and practitioners working at the leading edge of wireless and wired sensor network development. As sensor networks can now provide a rich and varied source of data streams, the need for reliable sensor information, as well as for sensing infrastructure and analytical sense–making tools that are able to make informed decisions, creates many new challenges.<br>The track on Information Processing focuses on techniques for the analysis and interpretation of data that is generated by sensor networks, as well as the use of such techniques in practical application domains. Sensor networks can provide a rich and varied source of data streams, ranging from simple periodic measurements to complex video and multimedia streams. These data streams need to be processed by the resource constraints of sensing platforms, which may involve real–time, distributed and in–network processing. These processing tasks are creating new challenges in the fields of signal processing, machine learning, computational intelligence and data analytics.<br>Original contributions on all topics related to intelligent sensors, sensor networks, and information processing in sensor networks are welcomed. Areas of interest include, but are not limited to, the following:<br>– Internet of Things (IoT)<br>– Cloud Computing and Data Management<br>– Big Data Analysis and Visualization<br>– Participatory Sensing and Crowd Sourcing<br>– Network Scheduling and Optimization<br>– Sustainable and Energy–Aware Networking<br>– Protocols and Standards in Internet of Things<br>– Fault Tolerance and Reliability<br>– Security, Privacy, and Trust<br>– Middleware for Sensor Systems<br>– Sensor Network Management and Control<br>– Sensor Fusion, Tracking, and Localization<br>– Data Mining, Pattern Recognition, and Machine Intelligence<br>– Smart Sensors: Optical, Nano<br>– Sensor Networks and IoT Applications<br>– Smart Grids, Smart Cities, and Smart Environments<br>
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Singapore
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Singapore
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