Refining Mobile Web Design for Reducing Energy Consumption of Mobile Terminals

Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research

“…The mobile device: In past experiments, Android devices have been commonly used for measurements, with Samsung [14], [28], [29], [34], [36], [40], [42], [46], [51], [57], [58], [62] and Nexus [26], [31], [32], [35], [37], [41], [44], [51]- [53], [61], [63] devices being the most popular ones. The Android versions differed from Android 4 to 11.…”

“…[3], [16], [26], [27], [30], [31], [31]- [34], [39], [43], [46], [47], [49], [50], [59] Hardware-based 24 [14], [15], [28], [29], [35], [37], [38], [40], [41], [44], [45], [51]- [56], [58], [60], [62]- [65], [67] Estimation-based 4 [36], [42], [48], [61] supplier profiles) on the device and can be accessed via the Android Debug Bridge, for further analysis, even on a single hardware unit [30], [32], [33]. An alternative for devices with Qualcomm chips was Trepn Profiler [31], [32], [49], [50].…”

“…Those researchers estimated energy consumption based on the battery consumption profile, the current network speed, the sizes of the different versions of the webpage, and the estimated energy consumption of the various versions. Another example of energy estimation models is one presented by Ihara et al [61] in their research, which utilizes hardware measurements as the basis for their analysis.…”

“…An overhead of computations arises if web content has pitfalls in its design. The intelligent organization of web content should be based on the popularity of the content [61], with the most frequently accessed items at the top and less popular ones below. This will improve the user experience by making it easier to find desired content and minimize power consumption caused by excessive scrolling.…”

An insight into mobile advertising and its impact on the resources of handheld devices: a survey

“…In the context of studying the energy cost of web ads while mobile browsing, there are not much studies that talked specifically about this issue (Simons and Pras, 2010;Ihara et al, 2015). However, there are several research articles that investigated mobile browsing from energy prospective (Zhang et al, 2010;Thiagarajan et al, 2012;Pathak et al, 2012;Zhu et al, 2012) as well as other performance aspects, namely, Speed, simplicity and usage and usability (Wang et al, 2011;Hoehl and Lewis, 2011;Schmiedl et al, 2009).…”