• e - ISSN No : 2832-4277
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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

Infestation Based Location – Aware Content Delivery System

Ravikant Sharma.L, Rajesh Kumar N.S. R, VinothKumar M, Karthikeyan S, Bala Ganesh.S
UG-Student, Department of Computer Science and Engineering, K.S.R. College of Engineering, India.

Keywords: Research – Ad-Hoc network, Broadcasting, Data Fragmentation, Node to Node delivery, Unicasting, Sender and Receiver approach.

Abstract

With the growing usage of thin computing devices such as smartphones and tablets equipped with technologies like 3G, Wi-Fi, and GPS, information has become readily available at the fingertips of users. The primary objective of this paper is to enable efficient data delivery in ad-hoc networks. While current technologies rely heavily on internet-based services for sharing location-aware content, this paper demonstrates that similar outcomes can be achieved by deploying Wi-Fi infostations. In the latter part of the study, two algorithms are proposed based on sender-side and receiver-side approaches during information broadcasting. These algorithms also help in reducing network congestion and ensure reliable data transmission without data loss. The proposed method addresses several limitations of traditional data transfer techniques such as unicast and broadcast, thereby improving overall communication efficiency. The approach further incorporates node-to-node delivery along with both unicast and broadcast mechanisms to enhance network performance.
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References

  1. A.L. Iacovo and C. Rose, “Infestations: New Perspectives on Wireless Data Networks,” technical report, WINLAB, Rutgers Univ., 2000.
  2. http://www.starbucks.com/coffeehouse/mobile-apps/mystarbucks, 2012.
  3. P. Deshpande, X. Hou, and S. Das, “Performance Comparison of 3G and Metro-Scale WIFI for Vehicular Network Access,” Proc. ACM SIGCOMM, 2010.
  4. K. Lee, S.-H. Lee, R. Cheung, U. Lee, and M. Gerla, “First Experience with Car Torrent in a Real Vehicular Ad Hoc Network Testbed,” Proc. Conf. Mobile Networking for Vehicular Environments (MOVE), 2007.
  5. U. Lee, J. Park, J. Yeh, G. Pau, and M. Gerla, “Code Torrent: Content Distribution Using Network Coding in VANET,” Proc. First Int’l Workshop Decentralized Resource Sharing in Mobile Computing and Networking (MobShare), 2006.
  6. J. Ott and D. Kutscher, “Drive-THRU Internet: IEEE 802.11b for Automobile Users,” Proc. IEEE INFOCOM, 2004.
  7. D. Hadaller, S. Keshav, and T. Brecht, “MV-MAX: Improving Wireless Infrastructure Access for Multi-Vehicular Communication,” Proc. ACM SIGCOMM, 2006.
  8. J. Byers, M. Luby, M. Mitzenmacher, and A. Rege, “A Digital Fountain Approach to Reliable Distribution of Bulk Data,” Proc. ACM SIGCOMM, 1998.
  9. M. Mitzenmacher, “Digital Fountains: A Survey and Look Forward,” Proc. IEEE Information Theory Workshop, 2005.
  10. T. Zahn, G. O’Shea, and A. Rowstron, “Feasibility of Content Dissemination Between Devices in Moving Vehicles,” Proc. Fifth Int’l Conf. Emerging Networking Experiments and Technologies (CoNEXT), 2009.
  11. C. Perkins, Ad Hoc on Demand Distance Vector (AODV) Routing, IETF Internet draft, work in progress, 1997.
  12. D. Johnson and D. Maltz, “Dynamic Source Routing in Ad Hoc Wireless Networks,” Mobile Computing, T. Imielinski and H.F. Korth, eds., Kluwer Academic Publishers, 1996.
  13. S. Ni, Y. Tseng, Y. Chen, and J. Sheu, “The Broadcast Storm Problem in a Mobile Ad Hoc Network,” Proc. ACM MobiCom ’99, pp. 151-162, 1999.
  14. M. Garey and D. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness. W.H. Freeman, 1990.
  15. B. Clark, C. Colbourn, and D. Johnson, “Unit Disk Graphs,” Discrete Math., vol. 86, pp. 165-177, 1990.
  16. Y. Sasson, D. Cavin, and A. Schiper, “Probabilistic Broadcast for Flooding in Wireless Mobile Ad Hoc Networks,” Proc. IEEE Wireless Comm. and Networking Conf. (WCNC ’03), pp. 1124-1130, 2003.