Download Wireless Networks and Computational Intelligence: 6th by Akshay Uttama Nambi S.N., Prabhakar T.V., Jamadagni H.S., PDF

By Akshay Uttama Nambi S.N., Prabhakar T.V., Jamadagni H.S., Kishan Ganapathi, Pramod B.K. (auth.), K. R. Venugopal, L. M. Patnaik (eds.)

This publication constitutes the refereed court cases of the sixth overseas convention on details Processing, ICIP 2012, held in Bangalore, India, in August 2012. The seventy five revised complete papers provided have been conscientiously reviewed and chosen from 380 submissions. The papers are equipped in topical sections on instant networks; photo processing; trend reputation and type; desktop structure and dispensed computing; software program engineering, details know-how and optimization ideas; info mining ideas; machine networks and community security.

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Additional info for Wireless Networks and Computational Intelligence: 6th International Conference on Information Processing, ICIP 2012, Bangalore, India, August 10-12, 2012. Proceedings

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In: 3rd IEEE International Conference on Electronics Computer Technology (ICET 2011), April 8-10, pp. 16–24 (2011) 2. : Different Types of Swarm Intelligence Algorithm for Routing. In: International Conference on Advances in Recent Technologies in Communication and Computing. IEEE Computer Society (2009) 3. : A Survey of AntBased Routing Algorithm for Mobile AdHoc Networks. In: 2009 International Conference on Signal Processing systems, pp. 323–329. IEEE Computer Society (2009) 4. : Termite: Ad-Hoc Networking with Stigmergy.

We find both optimal direct access time and adaptive contention-free access time for minimum end-to-end latency according to traffic load of the sensor network. Direct access time is a multiple access technique based on CSMA/CA. The time period of this transmission is called the contention window and consists of a pre-determined number of transmission slots. The node, which entered back-off, randomly selects a slot in the contention window. It also continuously senses the medium until it selects the contention slot.

However, end-to-end latency in S-MAC increases at a much faster rate, because it has a shorter duty cycle. RCH-MAC outperforms both H-MAC and S-MAC. In addition, our proposed RCH-MAC protocol makes shorter end-to-end latency due to low collision rate of the reservation control packets. It stabilize the sensor data traffic transmission through reservation of time slots in adaptive contention-free access time. 40 S−MAC H−MAC RCH−MAC End−to−End Latency (sec) 35 30 25 20 15 10 5 0 2 4 6 8 10 12 14 Path length (Hops) Fig.

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