Energy consumption in mobile phones: a measurement study and implications for network applications

By Niranjan Balasubramanian, Aruna Devi Balasubramanian, Arun Venkataramani. ACM/SIGCOMM Internet Measurement Conference, 2009

1,257 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/19bbb0a8461173fa5c43048515d42bdf69089da4

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Attojoule Optoelectronics for Low-Energy Information Processing and Communications (2016, background): “Wireless connections, as in WiFi and mobile cellular connections, consume particularly large energies per bit [31].”
Carat: collaborative energy diagnosis for mobile devices (2013, background): “Many projects have sought to profile or emulate energy use on mobile devices [10, 11, 23, 29, 30, 32, 44], sometimes for prediction [37, 40], mitigation [3, 18], diagnosis [21], or developer tools [15].”
A close examination of performance and power characteristics of 4G LTE networks (2012, background): “Prior study [18] investigates the impact and the optimization of tail effects in 2G/3G networks.”
Diversity in smartphone usage (2010, neutral): “The second dataset is from 222 Windows Mobile users across diﬀerent demographics and geographic locations.”
Cellular traffic offloading through opportunistic communications: a case study (2010, background): “Moreover, short-range communications usually consume much less energy than long-range ones [4].”
Computation Offloading Toward Edge Computing (2019, background): “Therefore, the energy consumption of maintaining data transmission is small [81].”
Characterizing radio resource allocation for 3G networks (2010, background): “…real cellular traces from a large cellular ISP and analyzes the e.ect on important factors from both the network operator s perspectives, namely radio resource usage e.ciency and management overhead, andfrom end-user sperspective, namely device energy consumption and application performance.”
Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications (2013, background): “This stochastic characteristic may incur unpredictable energy consumption in communications between mobile devices and the cloud: measurement studies [12] show that the energy consumption for transmitting a fixed amount of data is inversely proportional to the available bandwidth.”
Mobile Data Offloading: How Much Can WiFi Deliver? (2013, background): “Based on these traces, they report about 10%–30% on-the-spot of ﬂ oading ef ﬁ ciency and about 20%–33% of ﬂ oading gain of delayed of ﬂ oading over on-the-spot.”
A Distributed Truthful Auction Mechanism for Task Allocation in Mobile Cloud Computing (2018, background): “WHILE mobile devices have become increasingly ubiquitous in our daily life, they are seriously constrained by limited battery capacities [1], [2], [3] and computation capabilities [4].”
A first look at traffic on smartphones (2010, background): “Similar behaviors hold across different manufacturers and OSes [2], though the exact timer values may be carrier dependent.”
Sentinel: occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings (2013, background): “Prior works on WiFi and cellular radio power measurements [16, 19, 51] indicate that WiFi sleep power is about 2x the sleep power of cellular technologies such as 3G, the data transmission in WiFi is about an order of magnitude more efficient than cellular, the energy spent by WiFi radio to scan and”
Mobile Data Offloading through Opportunistic Communications and Social Participation (2012, background): “For example, it was reported in a measurement study that to download 10 KB data, WiFi consumes one-sixth of 3G's energy and one-third of GSM's energy [5].”