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This work is licensed under a Creative Commons Attribution 4.0 International License.
Brain MR Image Segmentation Using Self Organizing Map
M.KANIMOZHI, CH.HIMA BINDU PG student, QIS College of Engineering & Technology, Ongole, Andhra Pradesh, India Associate professor, QIS College of Engineering & Technology, Ongole, Andhra Pradesh, India
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Abstract: The objective of this research work is to extend the network lifetime, balance the power consumption among mobile nodes and increase the throughput of the networks. The wireless mobile adhoc network consists of various mobile and battery-powered wireless devices, such as PDAs, laptops and cellular phones. These wireless personal devices form the network in an adhoc way to let devices communicate with each other. Power consumption of network interfaces can be significant. With battery technology lagging behind, the batteries on wireless personal devices can only last a few hours for work. This paper provides a suite of efficient power-aware algorithms and schemes for routing in wireless network. Nodes in a Mobile Ad hoc Network (MANET) have limited battery power. In a MANET, if a mobile node continuously transmitting the data packets, more battery power consumed by that node, obviously that node energy level is insufficient for data packet transmission and becomes critical node or dead node and result is connection failure in network. The aim of this paper is to minimize the consumption power for operation so that transmission power can be saved. In this work, we have considered three routing protocols such as Destination-Sequenced Distance-Vector (DSDV) & Minimum Maximum Battery Cost Routing (MMBCR) and our proposed novel Efficient Power Routing (EPR) protocol which increases the lifetime of the network by efficiently minimizing the power consumption. From the simulation results, it is observed that our proposed protocol gives improved network lifetime, packet delivery ratio and less end to end delay as compared to MMBCR and DSDV protocols.
Keywords: DSDV, MMBCR, network lifetime, power aware
Keywords: DSDV, MMBCR, network lifetime, power aware
How to Cite:
[1] M.KANIMOZHI, CH.HIMA BINDU PG student, QIS College of Engineering & Technology, Ongole, Andhra Pradesh, India Associate professor, QIS College of Engineering & Technology, Ongole, Andhra Pradesh, India, βBrain MR Image Segmentation Using Self Organizing Map,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
