Abstract
Wi-Fi technology is one of the alternative ways for electronic devices to connect to a wireless LAN (WLAN). With BYOD technology, it is common to bring our mobile devices especially smartphone everywhere we go. Surfing the Internet is not the only thing you can do with Wi-Fi, as wireless transfer file between devices is one of the example. Wireless signal strength is essential when we want to transfer a file. The problem is when we face poor signal, especially when the signal bar is only one level remaining in certain areas. Hence, not many task can be done, which usually only messaging service is available such as WhatsApp Messenger. Moreover, activities done while signal is poor will cause to mobile device’s battery drain quickly. Therefore, poor signal strength will affect data transferring activities. Hence, this research proposed a new mechanism for data transferring over poor Wi-Fi signal with enhanced data chunk model. Data chunk applies searching technique using hash table for data structure and combine with bloom filter. Thus, it will not only chunk the data into several parts but the transferring process will be faster. This mechanism should be able to cater the above mentioned problem which results to data such as text and mp3 can be transferred even over poor Wi-Fi signal.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Huawei, T.: WLAN MIMO. Huawei technologies Co., Ltd., China (2012)
Solutions 4.: 4Gon Solutions. Retrieved from Factors Affecting Wireless Networking Performance (2015). http://www.4gon.co.uk/solutions/technical_factors_affecting_wireless_performance.php
Farkas, K., Huszák, Á., Gódor, G.: Optimization of Wi-Fi access point placement for indoor localization. J. IIT (Inf. IT Today) 1(1), 28–33 (2013)
Ding, N., Wagner, D., Chen, X., Pathak, A., Hu, Y.C, Rice, A.: Characterizing and modeling the impact of wireless signal. In: ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, New York, NY, USA, pp. 29–40. ACM (2013)
Yu, X., et al.: Modeling energy consumption of data. IEEE Trans. Mob. Comput. 13(8), 1760–1773 (2014)
Lufei, H.: e-QoS: energy-aware QoS for application sessions across multiple protocol domains in mobile computing. In: Proceedings of the 3rd International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, Detroit, MI. ACM (2006)
Sharafeddine, S., Maddah, R.: A lightweight adaptive compression scheme for energy- efficient. J. Netw. Comput. Appl. 1(34), 52–61 (2010)
Jayashree, S., Manoj, B.S., Murthy, C.: On using battery state for medium access control in ad hoc wireless networks. In: Proceedings of the 10th Annual International Conference on Mobile Computing and Networking, pp. 360–373. ACM, USA (2004)
Simunic, T.: Power saving techniques for wireless LANs. In: Proceedings of the Design, Automation and Test in Europe Conference and Exhibition, pp. 96–97. IEEE, USA (2005)
Balasubramanian, N., Balasubramanian, A., Venkataramani, A.: Energy consumption in mobile phones: a measurement study and implications for network applications. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, pp. 280–293. ACM, USA (2009)
Pathak, A., Hu, Y.C., Zhang, M.: Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof. In: Proceedings of the 7th ACM European Conference on Computer Systems, pp. 29–42. ACM, USA (2012)
Qian, F., Wang, Z., Gerber, A., Mao, Z., Sen, S., Spatscheck, O.: Profiling resource usage for mobile applications: a cross- layer approach. In: Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, pp. 321–334. ACM, USA (2011)
Li, K., Nanya, T., Qu, W.: Energy efficient methods and techniques for mobile computing. In: Third International Conference on semantics, Knowledge and Grid, pp. 212–217. IEEE (2007)
Shih, E., Bahl, P., Sinclair, M.J.: Wake on wireless: an event driven energy saving strategy for battery operated devices. In: Proceedings of the 8th Annual International Conference on Mobile Computing and Networking, pp. 160–171. ACM, USA (2002)
Zeng, H., Ellis, C.S., Lebeck, A.R., Vahdat, A.: ECOSystem: managing energy as a first class. In: Proceedings of the 10th International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 123–132. ACM, USA (2002)
Flinn, J., Satyanarayanan, M.: Energy-aware adaptation for mobile applications. In: 17th ACM Symposium on Operating Systems Principles, pp. 48–63. ACM, USA (1999)
Rice, A., Hay, S.: Measuring mobile phone energy consumption for 802.11 wireless. Pervasive Mob. Comput. 6(6), 593–606 (2010)
Barr, K.C., Asanović, K.: Energy-aware lossless data compression. ACM Trans. 24(3), 250–291 (2006)
Chakrabarti, K., Mehrotra, S.: The hybrid tree: an index structure for high dimensional feature spaces. In: Proceedings of the 15th International Conference on Data Engineering 1999, pp. 440–447 (2009)
Shiota, N., Phimmasone, V., Abe, T., Miyatake, M.: A MPPT algorithm based on the binary-search technique with ripples from a converter. In: 2013 International Conference on Electrical Machines and Systems (ICEMS), pp. 1718–1721 (2013)
Acknowledgement
This research is supported by the Research Management Institute, Universiti Teknologi Mara registered under the BESTARI Grant Scheme (FRGS) #600-IRMI/PERDANA 5/3 BESTARI (098/2018). The authors would like to thank to Research Management Institute, Universiti Teknologi MARA, Malaysia for their funding support and also acknowledged the support given by Crowd Business and Innovation Research Interest Group, Faculty of Computer and Mathematical Sciences, UiTM Shah Alam.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Bashah, N.S.K., Idris, S.Z., Arshad, N.H.H., Janom, N., Aris, S.R.S. (2019). A Lightweight Data Transfer Mechanism for Mobile Device over Poor Wi-Fi Signal. In: Awan, I., Younas, M., Ünal, P., Aleksy, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2019. Lecture Notes in Computer Science(), vol 11673. Springer, Cham. https://doi.org/10.1007/978-3-030-27192-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-27192-3_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27191-6
Online ISBN: 978-3-030-27192-3
eBook Packages: Computer ScienceComputer Science (R0)