Consumed energy reduction techniques for cellular mobile & smartphones

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dc.contributor.author Ahmed, Tanveer
dc.contributor.author Hasan, Shahriar
dc.date.accessioned 2021-09-09T09:02:16Z
dc.date.available 2021-09-09T09:02:16Z
dc.date.issued 2013-11-15
dc.identifier.citation [1] Shuo Deng and Hari Balakrishnan. Tra c-Aware Techniques to Reduce 3G/LTE Wireless Energy Consumption. CoNEXT'12, December 10-13, 2012, Nice, France, pp. 181-192. [2] N. Balasubramanian, A. Balasubramanian, and A. Venkataramani. Energy consumption in mobile phones: A measurement study and implications for network applications. In Internet Measurement Conference, 2009. [3] H. Falaki, D. Lymberopoulos, R. Mahajan, S. Kandula, and D. Estrin. A First Look at Tra c on Smartphones. In Internet Measurement Conference, 2010. [4] J. Huang, F. Qian, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck. A close examination of performance and power characteristics of 4g lte networks. In MobiSys, 2012. [5] R. Krashinsky and H. Balakrishnan. Minimizing Energy for Wireless Web Access with Bounded Slowdown. ACM Wireless Networks, 11(1-2):135-148, Jan. 2005. [6] C.-C. Lee, J.-H. Yeh, and J.-C. Chen. Impact of inactivity timer on en- ergy consumption in WCDMA and CDMA2000. In IEEE Wireless Telecomm. Symp.(WTS), 2004. [7] H. Liu, Y. Zhang, and Y. Zhou. TailTheft: Leveraging the wasted time for saving energy in cellular communications. In MobiArch, 2011. [8] F. Qian, Z. Wang, A. Gerber, Z. Mao, S. Sen, and O. Spatscheck. Pro ling resource usage for mobile applications: a cross-layer approach. In MobiSys, 2011. [9] F. Qian, Z. Wang, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck. Charac- terizing radio resource allocation for 3G networks. In Internet Measurement Conference, 2010. 38 Bibliography 39 [10] F. Qian, Z. Wang, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck. TOP: Tail Optimization Protocol For Celluar Radio Resource Allocation. In ICNP, 2010. [11] 3g: Wikipedia. http://en.wikipedia.org/wiki/3G.. [12] Third generation partnership project 2 (3gpp2). http://www.3gpp2.org. [13] Y. Agarwal, R. Chandra, A. Wolman, P. Bahl, K. Chin, and R. Gupta. Wire- less wakeups revisited: energy management for voip over wi- smartphones. In MobiSys '07: Proceedings of the 5th international conference on Mobile sys- tems, applications and services, pages 179-191, New York, NY, USA, 2007. ACM. [14] P. Baptiste. Scheduling unit tasks to minimize the number of idle periods: a polynomial time algorithm for o ine dynamic power management. In SODA '06: Proceedings of the seventeenth annual ACM-SIAM symposium. [15] . Chuah, M.; Wei Luo; Zhang. Impacts of inactivity timer values on umts system capacity. In Wireless Communications and Networking Conference (2002), volume 2, pages 897-903. IEEE, 2002. [16] Z. Jiang and L. Kleinrock. Web prefetching in a mobile environment. In IEEE Personal Communications, volume 5, pages 25-34, September, 1998. [17] R. Krashinsky and H. Balakrishnan. Minimizing Energy for Wireless Web Access Using Bounded Slowdown. In 8th ACM MOBICOM 2002, Atlanta, GA, September 2002. [18] T. Pering, Y. Agarwal, R. Gupta, and R. Want. Coolspots: Reducing the power consumption of wireless mobile devices with multiple radio interfaces. In MobiSys 2006: Proceedings of the 4th international conference on Mobile systems, applications and services, pages 220-232, New York, NY, USA, June 2006. ACM Press. [19] A. Rahmati and L. Zhong. Context-for-wireless: context-sensitive energy- e cient wireless data transfer. In MobiSys '07: Proceedings of the 5th in- ternational conference on Mobile systems, applications and services, pages 165-178, New York, NY, USA, 2007. ACM. [20] J.-H. Yeh, J.-C. Chen, and C.-C. Lee. Comparative analysis of energy-saving techniques in 3GPP and 3GP2 systems. In Transactions on Vehicular Tech- nology, volume 58, pages 432-448. IEEE, 2009. en_US
dc.identifier.uri http://hdl.handle.net/123456789/927
dc.description Supervised by Supervised by Dr. Muhammad Mahbub Alam Associate Professor, And Co-supervised by: Md. Ashraful Alam Khan Lecturer, Department of Computer Science and Engineering (CSE) Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh en_US
dc.description.abstract Modern day mobile technologies have taken wireless connectivity to a whole new level and now a mobile phone number is a universal identity. By de nition, 3G represents the convergence of various 2G wireless telecommunication systems into a single uniform global system which includes terrestrial and satellite components in its functioning. The 3GPP and 3GPP2 standards (used in 3G) provide some mechanisms for the cellular network operator and the mobile device to optimize some metrics, but to date, deployed methods to minimize energy consumption have left a lot to be desired. Many deployments have been done recently to minimize the energy consumed by mobile phones by not a ecting the quality of network as well. Many algorithms have been proposed for example TOP, TailEnder, MakeActive, MakeIdle etc. In this thesis we provide a study on these algorithms, mechanisms and their e ciencies to help overcoming further problems and research. en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh en_US
dc.subject Cellular Networks, Energy Saving, 3G Networks, Power measurement, Mobile applications, Cellular Communications en_US
dc.title Consumed energy reduction techniques for cellular mobile & smartphones en_US
dc.type Thesis en_US


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