Minimizing Overhead and Improving Energy Level for Android Mobile Devices
- Ramprakash S
- Vijayanathan R
- K K Saravanam
Spatial, Energy Saving,Machine Learning
Reducing the energy consumption of wireless devices is paramount to a wide spread adoption of mobile applications. Cellular communication imposes high energy consumption on the mobile devices due to the radio resource allocation, which differs from other networks such as WiFi. Most applications are unaware of the energy consumption characteristics of third generation cellular communication (3G) and Global Positioning Systems (GPS). This makes the background small data transfers of undisciplined applications an energy burden due to inefficient utilisation of resources.. In order to cover this gap, our work realises an existing energy saving algorithm such as of linear discriminant analysis , k-nearest neighbor, and support vector machines are explored and compared on synthetic and user traces from real-world usage studies within the Android platform, and measures its energy footprint.To maximize the lifetime of an ad hoc network ,it is essential to prolong each individual node(mobile) life through minimizing the total transmission energy consumption for each communication request. This paper proposes novel techniques that exploit types of Spatial locality available in android mobile devices. The experimental results an average improvement of 24% energy savings is achieved compared to state-of-the -art prior work on energy-efficient location sensing
Ramprakash S, Vijayanathan R, K K Saravanam. "Minimizing Overhead and Improving Energy Level for Android Mobile Devices".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.1, Issue 3, pp.149 - 152, URL :https://rjwave.org/ijedr/papers/IJEDR1303030.pdf
Volume 1 Issue 3
Pages. 149 - 152
