Optimized Leasing on Mobile Devices using Dynamic Programming

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  • Abstract

    Now a day’s all advanced mobiles uses mobile data to retrieve content from remote server through user requested queries. The request processed on the mobile devices reduces the available battery power to a significant extent. The processing of user queries at remote server gets very low response during the huge query transmission due to communication delay. In a network used mobile station scenario, the service provider is deployed by the mid network nodes with leasing capability. Leasing is the process of borrowing some resources to the mid network from the service provider. The processing cost in the mid network is low. The user queries should be processed before identifying the intended content from the remote server. The computation power used for leasing improves the response time by reducing the use of battery power on mobile devices. The low leasing cost reduces the traffic in the remote server. The response time taken to download the content from the mid network has been experimentally analyzed.

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      [1] W.chan, Nicholas Bambos, and Jatinder Singh, “Network assisted mobile computing with optimal uplink query processing,” in IEEE Trans. On mobile computing, vol,pp. 99, 2012

      [2] S.Sheeba Rani, R.Maheswari, V.Gomathy and P.Sharmila “Iot driven vehicle license plate extraction approach” in International Journal of Engineering and Technology(IJET) , Volume.7, pp 457-459, April 2018

      [3] B. Girod, V. Chandrasekhar, D. Chen, N.-M. Cheung, R. Grzeszczuk, Y. Reznik, G. Takacs, S. Tsai, and R. Vedantham, “Mobile visual search,” Signal Processing Magazine, IEEE, vol. 28, no. 4, pp. 61 – 76, 2011

      [4] S. Gitzenis and N. Bambos, “Joint task migration and power management in wireless computing,” IEEE Trans. Mobile Comput., vol. 8, pp. 1189–1204, Sept. 2009.

      [5] R.Maheswari, S.Sheeba Rani, V.Gomathy and P.Sharmila,“Real Time Environment Simulation through Virtual Reality” in International Journal of Engineering and Technology(IJET) , Volume.7, No.7, pp 404-406, April 2018

      [6] J. Li, M. Qiu, J.-W. Niu, and T. Chen, “Battery-aware task scheduling in distributed mobile systems with lifetime constraint,” in Proc. ASP-DAC, pp. 743 –748, 2011.

      [7] S. Narayanaswamy, S. Seshan, E. Amir, E. Brewer, R. Brodersen,F. Burghart, A. Burstein, Y. Chang, A. Fox, J. Gilbert, R. Han, R. Katz, A. L. D. Messerschmitt, and J. Rabaey, “A low-power, lightweight unit to provide ubiquitous information access applications and network support for infopad,” IEEE Personal Commun. Mag., vol. 3, pp. 4–17, Apr. 1996.

      [8] Olsen, F. Fitzek, and P. Koch, “Energy aware computing in cooperative wireless networks,” in International Conference on Wireless Networks, Communications and Mobile Computing, vol. 1, pp. 16 – 21, 2005.

      [9] Y. Tian and E. Ekici, “Cross-layer collaborative in-network processing in multi-hop wireless sensor networks,” IEEE Transactions on Mobile Computing, vol. 6, pp. 297–310, 2007.

      [10] T. Xie and X. Qin, “An energy-delay tunable task allocation strategy for collaborative applications in networked embedded systems,” IEEE Transactions on Computers, vol. 57, no. 3, pp. 329 –343, 2008.

      [11] Anandkumar V, Subramanian S, Thangam P, “Improving the Performance Using Shared Spread Protocol in Issue Guarantee Protocol over Delay Tolerant Networks,” International Journal of Applied Engineering Research, ISSN 0973-4562 Volume 10, Number 23 (2015) pp 43737-43740

      [12] S. Balakrishnan, A. Jebaraj Rathnakumar and K. N. Sivabalan, “Information Security in D-Media (Digital Media)”, ARPN Journal of Engineering and Applied Sciences. May 2016, Vol. 11, No. 9, pp. 5707- 5710.

      [13] S.Balakrishnan, Vinod K, B. Shaji. (2018). Secured and Energy Efficient AODV Routing Protocol For Wireless Sensor Network”, International Journal of Pure and Applied Mathematics, Vol. 119, No. 10c, 2018, pp. 563-570.

      [14] S.Balakrishnan, J.P.Ananth, L.Ramanathan, S.P.Premnath, (2018). An Adaptive Energy Efficient Data Gathering In Wireless Sensor Networks”, International Journal of Pure and Applied Mathematics, Volume 118 No. 21, 2018, pp. 2501-2510.

      [15] J.P.Ananth, S.Balakrishnan, S.P.Premnath, (2018). Logo Based Pattern Matching Algorithm for Intrusion Detection System in Wireless Sensor Network”, International Journal of Pure and Applied Mathematics, Volume 119, No. 12, 2018, pp. 753-762.




Article ID: 22100
DOI: 10.14419/ijet.v7i4.19.22100

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