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Share Sens: An Approach to Optimizing Energy Consumption of Continuous Mobile Sensing Workloads
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Hierarchical Resource Usage Coordination for Large-Scale Multi-agent Systems
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Efficient Agent Communication in Multi-agent Systems
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Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer
inferredcites →https://doi.org/10.1007/978-3-642-21726-5_12openalex-snapshot
SpeakerSense: Energy Efficient Unobtrusive Speaker Identification on Mobile Phones
inferredcites →https://doi.org/10.1007/s00779-012-0515-4openalex-snapshot
Activity logging using lightweight classification techniques in mobile devices
inferredcites →https://doi.org/10.1109/ghtc.2013.6713678openalex-snapshot
CrowdHelp: A crowdsourcing application for improving disaster management
inferredcites →https://doi.org/10.1109/iccad.2013.6691113openalex-snapshot
Managing mobile platform power
inferredcites →https://doi.org/10.1109/iceac.2011.6403625openalex-snapshot
Energy-aware computing for android platforms
inferredcites →https://doi.org/10.1109/itst.2012.6425301openalex-snapshot
An emergency earthquake warning system using mobile terminals with a built-in accelerometer
inferredcites →https://doi.org/10.1109/mc.2010.98openalex-snapshot
Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?
inferredcites →https://doi.org/10.1109/mcom.2010.5560598openalex-snapshot
A survey of mobile phone sensing
inferredcites →https://doi.org/10.1109/mobserv.2014.22openalex-snapshot
Coordinating Crowd-Sourced Services
inferredcites →https://doi.org/10.1109/mprv.2011.28openalex-snapshot
LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones
inferredcites →https://doi.org/10.1109/netgames.2012.6404014openalex-snapshot
Managing power for closed-source android os games by lightweight graphics instrumentation
inferredcites →https://doi.org/10.1109/surv.2012.021312.00045openalex-snapshot
Energy Management Techniques in Modern Mobile Handsets
inferredcites →https://doi.org/10.1145/1555816.1555835openalex-snapshot
A framework of energy efficient mobile sensing for automatic user state recognition
inferredcites →https://doi.org/10.1145/2674396.2674446openalex-snapshot
Low sampling rate for physical activity recognition
inferredcites →https://doi.org/10.2202/1948-4682.1069openalex-snapshot
Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake
inferredcites →https://doi.org/10.5555/2501560.2501575openalex-snapshot
Managing power for closed-source Android OS games by lightweight graphics instrumentation
inferredcites →https://doi.org/10.5555/2561828.2561861openalex-snapshot
Managing mobile platform power
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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CSSWare: A Middleware for Scalable Mobile Crowd-Sourced Services
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Designing Energy Efficient Strategies Using Markov Decision Process for Crowd-Sensing Applications
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Early analysis of resource consumption patterns in mobile applications
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Early Evaluation of Mobile Applications’ Resource Consumption and Operating Costs
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A Modular Approach to Programming Multi-Modal Sensing Applications
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Toward Joint Compression–Transmission Optimization for Green Wearable Devices: An Energy-Delay Tradeoff
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Increasing Energy Efficiency on Smartphones through Data Forecashing
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ModeSens: an approach for multi-modal mobile sensing
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S3: A Study on the Efficiency of Current Power-Saving Approaches Used Among Android-Application Development and Usage Stages
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A Robotic Scout UAV for Mapping Dynamic Environments at Bechtel Corporation
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A Mobile-Based System for Detecting Plant Leaf Diseases Using Deep Learning
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Integrating IoT Technologies into the CS Curriculum at PVAMU: A Case Study
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