By Mano Yadav, K. V. Arya, Vinay Rishiwal (auth.), Natarajan Meghanathan, Brajesh Kumar Kaushik, Dhinaharan Nagamalai (eds.)
This quantity constitutes the 1st of 3 components of the refereed lawsuits of the 1st foreign convention on computing device technological know-how and knowledge expertise, CCSIT 2010, held in Bangalore, India, in January 2011. The fifty nine revised complete papers provided during this quantity have been conscientiously reviewed and chosen. The papers are prepared in topical sections on dispensed and parallel platforms and algorithms; DSP, snapshot processing, development popularity, and multimedia; software program engineering; database and information Mining; in addition to tender computing, reminiscent of AI, neural networks, fuzzy structures, etc.
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Additional info for Advances in Computer Science and Information Technology: First International Conference on Computer Science and Information Technology, CCSIT 2011, Bangalore, India, January 2-4, 2011. Proceedings, Part I
72–76 (2008) 15. : Ant routing algorithm for mobile ad-hoc networks based on adaptive improvement. In: Proceedings, International Conference on Wireless Communications, Networking and Mobile Computing, vol. 2, pp. 678–681 (2005) 16. : POSANT: A Position Based Ant Colony Routing Algorithm for Mobile Ad-hoc Networks. In: Third International Conference on Wireless and Mobile Communications, ICWMC, p. 21. (2007) Improved Ant Colony Optimization Technique for Mobile Adhoc Networks 13 17. : HOPNET: A hybrid ant colony optimization routing algorithm for mobile ad hoc network.
This is attributed to the lack of accurate information of the destination location as the time period between two successive destination location update searches increases. As a result, data packets are subjected to more of perimeter forwarding and routing loops and hence get dropped eventually. On the other hand, the DNP and AGF versions of both GPSR and GRPP are not much affected by the value of MaxTupdate because they rely on locally finding the destination node based on the neighborhood information collected during the per-second periodic beacon exchange.
186–187 (2006) 3. : On selection of Optimal Transmission Power for Adhoc Network. In: Proceedings HICCS 2003, vol. 9, pp. 300–309 (2003) 4. : Minimum Energy Routing Schemes for a Wireless Adhoc Networks. In: Proceedings of IEEE INFOCOM, pp. 103–111 (2002) 5. : Computational Intelligence-An Introduction, 2nd edn. John Wiley & Sons, Chichester (2007) 6. : Ant Colony Optimization. MIT Press, Cambridge (2004) 7. : The hyper-cube framework for Ant Colony Optimization. IEEE Trans. on Systems, Man, and Cybernetics – Part B 34(2), 1161–1172 (2004) 8.