Energy efficient and quality-driven continuous sensor management for mobile IoT applications
暂无分享,去创建一个
[1] Ivana Podnar Zarko,et al. A Mobile Crowdsensing Ecosystem Enabled by a Cloud-Based Publish/Subscribe Middleware , 2014, 2014 International Conference on Future Internet of Things and Cloud.
[2] Fan Ye,et al. Mobile crowdsensing: current state and future challenges , 2011, IEEE Communications Magazine.
[3] Luca Benini,et al. Efficient energy management and data recovery in sensor networks using latent variables based tensor factorization , 2013, MSWiM.
[4] Neoklis Polyzotis,et al. A Benchmark for Online Index Selection , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[5] Antonio Iera,et al. From "smart objects" to "social objects": The next evolutionary step of the internet of things , 2014, IEEE Communications Magazine.
[6] Wei Hong,et al. Approximate Data Collection in Sensor Networks using Probabilistic Models , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[7] Emiliano Miluzzo,et al. A survey of mobile phone sensing , 2010, IEEE Communications Magazine.
[8] Nima Nikzad,et al. Model-driven adaptive wireless sensing for environmental healthcare feedback systems , 2012, 2012 IEEE International Conference on Communications (ICC).
[9] Allison Woodruff,et al. Common Sense Community: Scaffolding Mobile Sensing and Analysis for Novice Users , 2010, Pervasive.
[10] M. Hansen,et al. Participatory Sensing , 2019, Internet of Things.
[11] Hojung Cha,et al. Understanding the coverage and scalability of place-centric crowdsensing , 2013, UbiComp.
[12] William G. Griswold,et al. CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system , 2012, Wireless Health.
[13] Karl Aberer,et al. Utility-driven data acquisition in participatory sensing , 2013, EDBT '13.
[14] Prem Prakash Jayaraman,et al. Efficient opportunistic sensing using mobile collaborative platform MOSDEN , 2013, 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing.
[15] Prem Prakash Jayaraman,et al. Sensor discovery and configuration framework for the Internet of Things paradigm , 2013, 2014 IEEE World Forum on Internet of Things (WF-IoT).
[16] Cecilia Mascolo,et al. A Tale of Many Cities: Universal Patterns in Human Urban Mobility , 2011, PloS one.
[17] T D'Roza,et al. An Overview of Location-Based Services , 2003 .
[18] Peter R. Pietzuch,et al. Distributed event-based systems , 2006 .
[19] Ivana Podnar Zarko,et al. Publish/subscribe middleware for energy-efficient mobile crowdsensing , 2013, UbiComp.
[20] Seref Sagiroglu,et al. Big data: A review , 2013, 2013 International Conference on Collaboration Technologies and Systems (CTS).
[21] Tajana Simunic,et al. An Interactive Context-aware Power Management Technique for Optimizing Sensor Network Lifetime , 2016, SENSORNETS.
[22] Demetrios Zeinalipour-Yazti,et al. Crowdsourcing with Smartphones , 2012, IEEE Internet Computing.