Margaret Martonosi
Abstract
It is difficult to think back to a time before smartphones existed, with their ubiquitous computing and communication capabilities, and with detailed location sensing easily available from Global Positioning Systems (GPS). In the late 1990s, when my research group began work on mobile sensing, smartphones had not yet been invented. While GPS did exist, GPS receivers were expensive, power-hungry and not widely available. Our first mobile computing project started as a powerefficiency study for a GPS-based interactive campus tour. GPS-based tour applications are familiar now, but were unheard of then, and the physical implementation was a challenge. We used a Palm Pilot PDA (personal digital assistant) connected to an external GPS receiver and an external Wi-Fi card. In those days, PDAs had neither GPS nor any wireless communication capability! Given the bulkiness of the various pieces of our "app," we carried them and their batteries around in a shoebox. Since both the GPS and the radio were quite high power (over 1W), they greatly impacted the system's battery life. Our power-efficiency work explored methods to locally cache maps on the PDA, and to power down modules when not in use.
- Richard A. Becker, Ramon Caceres, Karrie Hanson, Sibren Isaacman, Ji Meng Loh, Margaret Martonosi, James Rowland, Simon Urbanek, Alexander Varshavsky, and Chris Volinsky. Human mobility characterization from cellular network data. Commun. ACM, 56(1):74--82, 2013. Google Scholar
Digital Library
- Matthew Halpern, Yuhao Zhu, and Vijay Janapa Reddi. Mobile CPU's rise to power: Quantifying the impact of generational mobile cpu design trends on performance, energy, and user satisfaction. In HPCA, 2016.Google ScholarCross Ref
- Sibren Isaacman, Richard A. Becker, Ramon Caceres, Stephen G. Kobourov, Margaret Martonosi, James Rowland, and Alexander Varshavsky. Identifying important places in people's lives from cellular network data. In Pervasive, volume 6696 of Lecture Notes in Computer Science, pages 133--151. Springer, 2011. Google ScholarDigital Library
- Sibren Isaacman, Richard A. Becker, Ramon Caceres, Stephen G. Kobourov, Margaret Martonosi, James Rowland, and Alexander Varshavsky. Ranges of human mobility in Los Angeles and New York. In PerCom Workshops, pages 88--93. IEEE, 2011. Google ScholarCross Ref
- Sibren Isaacman, Richard A. Becker, Ramon Caceres, Margaret Martonosi, James Rowland, Alexander Varshavsky and Walter Willinger. Human mobility modeling at metropolitan scales. In MobiSys, pages 239--252. ACM, 2012. Google ScholarDigital Library
- Sibren Isaacman and Margaret Martonosi. Potential for collaborative caching and prefetching in largely-disconnected villages. In Wireless Networks and Systems for Developing Regions, pages 23--30. ACM, 2008. Google ScholarDigital Library
- Sibren Isaacman and Margaret Martonosi. Low-infrastructure methods to improve Internet access for mobile users in emerging regions. In WWW (Companion Volume), pages 473--482. ACM, 2011. Google ScholarDigital Library
- Emmanouil Koukoumidis, Li-Shiuan Peh, and Margaret Martonosi. SignalGuru: leveraging mobile phones for collaborative traffic signal schedule advisory. In MobiSys, pages 127--140. ACM, 2011. Google ScholarDigital Library
- Vincent Lenders, Emmanouil Koukoumidis, Pei Zhang, and Margaret Martonosi. Locationbased trust for mobile user-generated content: applications, challenges and implementations. In HotMobile, pages 60--64. ACM, 2008. Google ScholarDigital Library
- Ting Liu, Christopher M. Sadler, Pei Zhang and Margaret Martonosi. Implementing software on resource-constrained mobile sensors: Experiences with Impala and ZebraNet. In MobiSys. USENIX, 2004. Google ScholarDigital Library
- Darakhshan J. Mir, Sibren Isaacman, Ramon Caceres, Margaret Martonosi, and Rebecca N. Wright. DP-WHERE: differentially private modeling of human mobility. In BigData Conference, pages 580--588. IEEE, 2013. Google ScholarCross Ref
- Christopher M. Sadler and Margaret Martonosi. Data compression algorithms for energy-constrained devices in delay tolerant networks. In SenSys, pages 265--278. ACM, 2006. Google ScholarDigital Library
- Mark Sullivan. A brief history of GPS. PC World, August 2012.Google Scholar
- Pei Zhang and Margaret Martonosi. Energy\ adaptation techniques to optimize data delivery in store-and-forward sensor networks. In SenSys, pages 405--406. ACM, 2006. Google ScholarDigital Library
- Pei Zhang and Margaret Martonosi. LOCALE: collaborative localization estimation for sparse mobile sensor networks. In IPSN, pages 195--206. IEEE Computer Society, 2008. Google ScholarDigital Library
Index Terms
- MOBILE SENSING: Retrospectives and Trends
Recommendations
A survey of mobile phone sensing
Mobile phones or smartphones are rapidly becoming the central computer and communication device in people's lives. Application delivery channels such as the Apple AppStore are transforming mobile phones into App Phones, capable of downloading a myriad ...
Collaborative opportunistic sensing with mobile phones
UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct PublicationMobile phones include a variety of sensors that can be used to develop context-aware applications and gather data about the user's behavior, including the places he visits, his level of activity and how frequently and with whom he socializes. The ...
Comments